Publications (depuis 2012)

Ci-dessous par année, vous trouverez les publications (soumises, à paraître et publiées) des membres réguliers et associés UQAM de STATQAM dans des revues internationales à comité de lecture. Le symbole (*) indique un étudiant supervisé par au moins un membre (régulier ou associé) de STATQAM. [dernière mise à jour août 2024]

2024

  • Caubet M(*), L’Espérance K, Koushik A, Lefebvre G. (2024). An empirical evaluation of approximate and exact regression-based causal mediation approaches for a binary outcome and a continuous or binary mediator for case-control study designs. BMC Medical Research Methodology. 24: 72.
  • Engelke S, Hentschel M(*), Lalancette M, Röttger F. (2024). Graphical models for multivariate extremes. Handbook on Statistics of Extremes. Soumis.
  • Gervais J(*), Lefebvre G, Moodie EEM. (2024). Natural effects in the presence of an intermediate confounder: evaluation of pragmatic estimation strategies with an emphasis on the relationship between natural and interventional effects. Révision.
  • Guérin H, Laulin L, Raschel K. (2024). Elephant polynomials. Soumis. arxiv.org/abs/2401.04959
  • Guérin H, Laulin L, Raschel K. (2024). A fixed-point equation approach for the superdiffusive elephant random walk. Soumis. arxiv.org/abs/2308.14630
  • Kharoubi R, Mkhadri A, Oualkacha K. (2024). High-dimensional penalized Bernstein support vector classifier, Computational Statistics, 39: 1909-1936.
  • Mendo CW, Gaudreau P, Lefebvre G, Marrie RA, Potter BJ, Wister A, Wolfson C, Keezer MR, Sylvestre M-P. (2024). The association between grip strength and carotid intima media thickness: A Mendelian randomization analysis of the Canadian Longitudinal Study on Aging, Annals of Epidemiology, 89: 15-20.
  • Moriah M(*), Vermet F, Charpentier A. (2024). Measuring and mitigating biases in motor insurance pricing. European Actuarial Journal. À paraître.
  • Nadeau G, Samoilenko M(*), Fiscaletti M, Veilleux L-N, Rauch F, Curnier D, Laverdière C, Sinnett D, Krajinovic M, Lefebvre G, Alos N. (2024). Predictors of low and very low bone mineral density in long-term childhood acute lymphoblastic leukemia survivors: Toward personalized risk prediction, Pediatric Blood & Cancer, e31047.
  • Raymond M(*), Descary M-H, Beaulac C, Larribe F. (2024). Constructing ancestral recombination graphs through reinforcement learning. Soumis.
  • Ribaud M(*), Labbe A, Fouda K, Oualkacha K. (2024). Fast matrix completion in epigenetic methylation studies with informative covariates, Biostatistics, kxae016.
  • Rivest L-P, Yauck M. (2024) Small sample inference for two-way capture-recapture experiments. International Statistical Review. À paraître.
  • Stocksieker S(*), Pommeret D, Charpentier A. (2024). Generalized oversampling for learning from imbalanced datasets and associated theory: Application in regression, Transactions on Machine Learning Research. À paraître.
  • Wu S(*), Beaulac C, Cao J. (2024). Functional autoencoder for smoothing and representation learning. Soumis.
  • Yauck M, Moodie E, Fourmigue A, Dvorakova M, Lambert G, Grace D, Cox J. (2024) Estimating hidden population size from a single respondent-driven sampling survey. Soumis.

2023

  • Anzarmou Y(*), Mkhadri A, Oualkacha K. (2023). The Kendall interaction filter for variable interaction screening in high dimensional classification problems, Journal of Applied Statistics, 50: 7, 1496-1514. 10.1080/02664763.2022.2031125
  • Anzarmou Y(*), Mkhadri A, Oualkacha K. (2023). Sparse overlapped linear discriminant analysis. Test, 32: 388-417. http://dx.doi.org/https://doi.org/10.1007/s11749-022-00839-6
  • Ba I(*), Coeurjolly JF. (2023). Inference for low and high dimensional inhomogeneous Gibbs point processes, Scandinavian Journal of Statistics, 50(3): 993-1021. arXiv:2003.09830v2
  • Baldé I(*), Yang YA, Lefebvre G. (2023). Reader reaction to “Outcome-adaptive lasso: Variable selection for causal inference” by Shortreed and Ertefaie (2017). Biometrics, 79: 514– 520. https://doi.org/10.1111/biom.13683
  • Barry AD(*), Oualkacha K, Charpentier A. (2023). Alternative fixed-effects panel model using weighted asymmetric least squares regression. Statistical Methods & Applications, 32: 819–841. https://doi.org/10.1007/s10260-023-00692-3
  • Beaulac C. (2023). A moment-matching metric for latent variable generative models. Mach Learn, 112, 3749–3772. https://doi.org/10.1007/s10994-023-06340-x
  • Beaulac C, Rosenthal JS. (2023). Introducing a new high-resolution handwritten digits data set with writer characteristics. SN Computer Science, 4, 66. https://doi.org/10.1007/s42979-022-01494-2
  • Beaulac C, Wu S, Gibson E et al. (2023). Neuroimaging feature extraction using a neural network classifier for imaging genetics. BMC Bioinformatics, 24, 271. https://doi.org/10.1186/s12859-023-05394-x
  • Caubet Fernandez M(*), Samoilenko M(*), Drouin S, Sinnett D, Krajinovic M, Laverdière C, Marcil V, Lefebvre G. (2023). Bayesian joint modeling for causal mediation analysis with a binary outcome and a binary mediator. Computational Statistics & Data Analysis, 177: 107586.
  • Charpentier A, Hu F, Ratz P. (2023). Mitigating discrimination in insurance with Wasserstein barycenters. ArXiv. 2306.12912
  • Choiruddin A(*), Coeurjolly JF, Letué F. (2023). Dantzig selector and adaptive lasso methods for spatial point processes intensity estimation. Bernoulli, 29(3): 1849-1876. https://arxiv.org/abs/2101.03698
  • Mirabnahrazam G, Ma D, Beaulac C, et al. (2023). Predicting time-to-conversion for dementia of Alzheimer’s type using multi-modal deep survival analysis. Neurobiol Aging, 121: 139-156. doi:10.1016/j.neurobiolaging.2022.10.005
  • Samoilenko M(*), Lefebvre G. (2023). An exact regression-based approach for the estimation of natural direct and indirect effects with a binary outcome and a continuous mediator. Statistics in Medicine, 42( 3): 353-387. doi:10.1002/sim.9621
  • St-Pierre J(*), Oualkacha K. (2023). A copula-based set-variant association test for bivariate continuous, binary or mixed phenotypes. The International Journal of Biostatistics,19(2): 369-387. https://doi.org/10.1515/ijb-2022-0010
  • St-Pierre J(*), Oualkacha K, Bhatnagar SR. (2023). Efficient penalized generalized linear mixed models for variable selection and genetic risk prediction in high-dimensional data. Bioinformatics, 39(2): btad063. https://doi.org/10.1093/bioinformatics/btad063
  • Wu S, Beaulac C, Cao J. (2023). Neural networks for scalar input and functional output. Stat Comput, 33, 118. https://doi.org/10.1007/s11222-023-10287-3

2022

  • Barry AD(*), Oualkacha K, Charpentier A. (2022). A new GEE method to account for heteroscedasticity, using asymmetric least-square regressions. Journal of Applied Statistics, 49(14): 3564-3590. 10.1080/02664763.2021.1957789.
  • Binette O(*), Guillotte S. (2022). Bayesian nonparametrics for directional statistics. Journal of Statistical Planning and Inference. 216: 118-134. https://doi.org/10.1016/j.jspi.2021.05.007
  • Cuevas-Pacheco F(*), Coeurjolly J-F, Descary M-H. (2022). Fast estimation of a convolution type model for the intensity spatial point processes. Spatial Statistics, 51: 100651.
  • Descary M-H, Froda S. (2022). Estimating the basic reproduction number from noisy daily data. Journal of Theoretical Biology, 549: 111210.
  • Ferland R, Watier F. (2022). Goal achieving probabilities of mean-variance strategies in a market with regime-switching volatility. Applied Mathematics, 13(7): 602-611.
  • Latimer E, Aubry T, Barrett B, Bergeron-Leclerc C, Briand C, Durbin J, Goscha R, Krupa T, Roebuck M, Vallée C, Setliff A, Yauck M. (2022). Association between fidelity to the strengths model of case management and client outcomes: A quasi-experimental study. Psychiatric Rehabilitation Journal, 45(3): 280-290. doi:10.1037/prj0000519
  • Ouhourane M(*), Yang Y, Benedet AL, Oualkacha K (2022). Group penalized smooth quantile regression. Statistical Methods and Applications, 31(3): 495-529.
  • Yauck M, Moodie EEM, Apelian H, Fourmigue A, Grace D, Hart TA; Lambert G, Cox J. (2022). Neighborhood Bootstrap for Respondent-Driven Sampling. Journal of Survey Statistics and Methodology. 10(2): 419-438.

2021

  • Ateba F(*), Doumbia S, ter Kuile FO, Terlouw DJ, Lefebvre G, Kariuki S, Small DS. (2021). The effect of malaria on stunting: an instrumental variables approach. Transactions of the Royal Society of Tropical Medicine and Hygiene. 115(9):1094-1098.
  • Choiruddin A(*), Coeurjolly JF, Waagepetersen R. (2021). Information criteria for inhomogeneous spatial point processes. Australian and New Zealand Journal of Statistics.  63: 119-143. https://doi.org/10.1111/anzs.12327
  • Coeurjolly JF. (2021). Digit analysis for Covid-19 reported data. Case Studies In Business, Industry and Government Statistics. 8: 14-27.
  • Coeurjolly JF, Mazoyer A(*), Amblard PO. (2020) Monte-Carlo integration of non-differentiable functions on [0,1]^i, i=1,…,d, using a single determinantal point process on [0,1]^d. Electronic Journal of Statistics. 15(2): 6228-6280.
  • Diop A, Lefebvre G, Duchaine C, Laurin D, Talbot D. (2021). The impact of adjusting for pure predictors of exposure, mediator and outcome on the variance of natural direct and indirect effect estimators. Statistics in Medicine. 40(10): 2339-2354.
  • Escribe C, Lu T, Keller-Baruch J, Forgetta V, Xiao B, Richards JB, Bhatnagar S, Oualkacha K, Greenwood C. (2021). Block coordinate descent algorithm improves variable selection and estimation in error-in-variables regression. Genet Epidemiol., 45(8): 874-890. doi:10.1002/gepi.22430
  • Ferland R, Lalancette S. (2021). Portfolio choices and hedge funds: A disappointment aversion analysis. The European Journal of Finance. 27(7): 679-705.
  • Fiscaletti M, Samoilenko M(*), Dubois J, Miron MC, Lefebvre G, Krajinovic M, Laverdière C, Sinnett D, Alos N. (2021). Predictors of vertebral deformity in long-term survivors of childhood acute lymphoblastic leukemia: The PETALE study. Journal of Clinical Endocrinology & Metabolism. 106(2): 512-525.
  • Samoilenko M(*), Lefebvre G. (2021). Parametric regression-based causal mediation analysis of binary outcomes and binary mediators: moving beyond the rareness or commonness of the outcome. American Journal of Epidemiology. 190(9): 1846-1858. https://doi.org/10.1093/aje/kwab055
  • Schramm C, Jacquemont S, Oualkacha K, Labbe A, Greenwood CMT. (2021). KSPM: A Package For Kernel Semi-Parametric Models. The R Journal. 12(2): 189-208. http://dx.doi.org/10.32614/RJ-2021-012
  • Yauck M, Moodie EEM, Apelian H, Fourmigue A, Grace D, Hart TA; Lambert G, Cox J. (2021). General regression methods for respondent-driven sampling data. Statistical Methods in Medical Research. 30(9): 2105-2118.
  • Yauck M, Moodie EEM, Apelian H, Peet MM, Lambert G, Grace D, Lachowsky NJ, Hart TA, Cox J.(2021). Sampling from networks: Respondent-driven sampling. Epidemiologic Methods. 10(1): 1-33.
  • Zhao K(*), Oualkacha K, Lakhal-Chaieb L, Labbe A, Klein K,  Ciampi A, Hudson M, Colmegna I, Pastinen T,  Zhang T, Daley D, Greenwood CMT. (2021). A novel statistical method for modeling covariate effects in bisulfite sequencing derived measures of DNA methylation. Biometrics. 77(2): 424-438.

2020

  • Bhatnagar SR, Yi Y, Lu T, Schurr E, Loredo-Osti JC, Forest M, Oualkacha K, Greenwood CMT. (2020). Simultaneous SNP selection and adjustment for population structure in high dimensional prediction models. PLoS Genetics. 16(5): e1008766.
  • Choiruddin A(*), Cuevas-Pacheco F(*), Coeurjolly JF , Waagepetersen R. (2020). Regularized estimation for highly multivariate log Gaussian Cox processes. Statistics and Computing (available at arXiv:1905.01455), 30:649-662.
  • Coeurjolly JF, Rousseau-Trépanier J(*). (2020). The median of a jittered Poisson distribution.  (available at arXiv:1901.05367). Metrika. 83: 837-851.
  • Lemay V, Caru M, Samoilenko M(*), Drouin S, Mathieu M-E, Bertout L, Lefebvre G, Raboisson M-J, Krajinovic M, Laverdière C; Andelfinger G, Sinnett D, Curnier D. (2020). Physical activity and sedentary behaviors of childhood acute lymphoblastic leukemia survivors. Journal of Pediatric Hematology/Oncology. 42(1): 53-60.
  • Léveillé P, Samoilenko M(*), Franco A, England J , Morel S, Malaquin N, Tu V, Cardin G B, Drouin S, Rodier F, Lippé S, Krajinovic M, Laverdière C, Sinnett D, Lefebvre G, Levy E, Marcil V. (2020). Biomarkers of cardiometabolic complications affecting survivors of childhood acute lymphoblastic leukemia. Scientific Reports. 10: 21507.
  • Mazoyer A(*), Coeurjolly JF, Amblard PO. (2020). Projections of determinantal point processes. Spatial Statistics (available at arXiv:1901.02099), 38: 1-20.
  • Samoilenko M(*), Arrouf N(*), Blais L, Lefebvre G. (2020). Comparing two potential-outcome approaches in causal mediation analysis of a multicategorical exposure: an application for the estimation of the effect of maternal intake of inhaled corticosteroids doses on birthweight. Statistical Methods in Medical Research. 29(10): 2767-2782.
  • Tounkara F(*), Lefebvre G, Greenwood C, Oualkacha K. (2020). A flexible copula-based approach for the analysis of secondary phenotypes in ascertained samples. Statistics in Medicine. 39(5): 517-543.
  • Wang Z, Boulanger L, Berger D, Gaudreau P, Marrie RA, Potter B, Wister A, Wolfson C, Lefebvre G, Sylvestre M-P, Keezer MR. (2020). Development and internal validation of a multimorbidity index that predicts healthcare utilisation using the Canadian Longitudinal Study on Aging. BMJ Open. 10(4): e033974.

2019

  • Arango-Castillo L(*),  Atherton J, Froda S. (2019). Unemployment Durations over Fixed Time Windows: a Comparison of Complex Survey data in the Presence of Missing Information. Submitted.
  • Atherton J, Ruths D, Vetta A. (2019). Computation in causal graphs. Journal of Graph Algorithms and Applications. 23(2): 317-344.
  • Bouret P, Coeurjolly J.-F. (2019). A concentration inequality for inhomogeneous Neymann-Scott point processes. Statistics & Probability Letters. 148: 30-34.
  • Caru M, Samoilenko M(*), Drouin S, Lemay V, Kern L, Romo L, Bertout L, Lefebvre G, Andelfinger G, Krajinovic M, Laverdière C, Sinnett D, Curnier D. (2019). Childhood acute lymphoblastic leukemia survivors have a substantially lower cardiorespiratory fitness level than healthy Canadians despite a clinically equivalent level of physical activity. Journal of Adolescent and Young Adult Oncology. 8(6): 674-683.
  • Caubet Fernandez M(*), Drouin S, Samoilenko M(*), Morel S, Krajinovic M, Laverdière C, Sinnett D, Levy E, Marcil V, Lefebvre G. (2019). A Bayesian multivariate latent t-regression model for assessing the association between corticosteroid and cranial radiation exposures and cardiometabolic complications in survivors of childhood acute lymphoblastic leukemia: a PETALE study. BMC Medical Research Methodology. 19(100).
  • Coeurjolly JF, Cuevas-Pacheco F, Waagepetersen R. (2019). Second-order variational type equation for spatial point processes applied to pair correlation function estimation. Spatial Statistics. 30: 103-115.
  • Coeurjolly JF, Lavancier F. (2019). Understanding spatial point patterns through intensity and conditional intensities. CEMPI Springer Lecture Notes in Mathematics 2237 (Ed. Coupier). : 45-85.
  • Descary M-H, Panaretos V. (2019). Functional data analysis by matrix completion. Annals of Statistics. 47(1): 1-38.
  • Descary MH, Panaretos V. (2019). Recovering covariance from functional fragments. Biometrika. 106(1): 145-160.
  • Jiang L(*), Oualkacha K, Didelez V, Ciampi A, Rosa P, Benedet AL, Mathotaarachchi S, Richards JB, Greenwood CMT. (2019). Constrained instruments and their application to Mendelian randomization with pleiotropy. Genetic Epidemiology. 43(4): 373-340.
  • Kharoubi R(*), Oualkacha K, Mkhadri A. (2019). The cluster correlation-network support vector machine for high-dimensional binary classification. Journal of Statistical Computation and Simulation. 89(6): 1020-1043.
  • Lemay V, Caru M, Samoilenko M(*), Drouin S, Alos N, Lefebvre G, Levy E, Lippé S, Marcil V, Sultan S, Bertout L, Krajinovic M, Laverdière C, Raboisson MJ, Sinnett D, Andelfinger G, Curnier D. (2019). Prevention of long term adverse health outcomes with cardiorespiratory fitness and physical activity in childhood acute lymphoblastic leukemia. J Pediatr Hematol Oncol. 41(7): e450-e458.
  • Ni J, Dasgupta K, Kahn S, Blais L, Talbot D, Lefebvre G, Lix L, Berry G, Burman M, Dimentberg R, Laflamme Y, Cirkovic A, Rahme E. (2019). Comparing external and internal validation methods in correcting outcome misclassification bias in logistic regression: a simulation study and application to the case of post-surgical venousthromboembolism following total hip or knee arthroplasty. Pharmacoepidemiology and drug safety. 28(2): 217-226 (Epub 2018).
  • Samoilenko M(*), Lefebvre G. (2019). Point: Risk ratio equations for natural direct and indirect effects in causal mediation analysis of a binary mediator and a binary outcome – A fresh look at the formulas. American Journal of Epidemiology. 188(7): 1201-1203.
  • Sun J(*), Oualkacha K, Greenwood CM, Lakhal‐Chaieb L. (2019). Multivariate association test for rare variants controlling for cryptic and family relatedness. Canadian Journal of Statistics. 47(1): 90-107.

2018

  • Atherton J, Ferland R, Lefebvre G. (2018). Using order statistics to link the hazard function and the intensity process in the presence of right censoring, left truncation and covariates. Submitted.
  • Auerbach J, Howey R, Jiang L(*), Justice A, Li L, Oualkacha K, Sayols-Baixeras S, Aslibekyan SW. (2018). Causal modeling in a multi-omics setting: insights from Genetic Analysis Workshop 20. BMC Genetics. 19 (Suppl 1): 74-79.
  • Barry A(*), Oualkacha K, Charpentier A. (2018). Weighted asymmetric least squares regression for longitudinal data using GEE. Submitted. arxiv.org:1810.09214
  • Choiruddin A(*) and Coeurjolly JF, Letué F. (2018). Convex and non-convex regularization methods for spatial point processes intensity estimation, 12(1):1210-1255. Electronic Journal of Statistics.
  • Coeurjolly JF, Lavancier F. (2018). Intensity approximation for pairwise interaction Gibbs point processes using determinantal point processes. Electronic Journal of Statistics. 12: 3181-3203.
  • Coeurjolly, JF, Porcu, E. (2018). Fast and exact simulation of complex-valued stationary Gaussian processes through embedding circulant matrix. Journal of Computational and Graphical Statistics. 27(2): 278-290.
  • Delvin EE, Alos N, Rauch F, Marcil V, Morel S, Boisvert M, Lecours M-A, Laverdière C, Sinnett D, Krajinovic M, Dubois J, Drouin S, Lefebvre G, Samoilenko M(*), Nyalendo C, Cavalier E, Levy E. (2018). Vitamin D nutritional status and bone turnover markers in childhood acute lymphoblastic leukemia survivors: A PETALE study.  Clinical Nutrition. 38(2): 912-919.
  • Dervillé A(*), Clausel M and Coeurjolly JF. (2018). Atomic force microscopy data enhancement and correction using asymmetric M-estimates. Metrologia. 55(5): 637-644.
  • D’Souza Y, Ferradji A(*), Saw CL, Oualkacha K, Richard L, Popradi G, Sapir-Pichhadze R. (2018). Inaccuracies in epitope repertoire estimations when using multilocus allele-level HLA genotype imputation tools. HLA: Immune Response Genetics. 92(1): 33-39.
  • Ferland R, Froda S. (2018). A statistical tool for comparing seasonal ILI surveillance data. Scientific Reports. 9: 1422-1430.
  • Ferradji A(*), D’Souza Y, Saw CL, Oualkacha K, Richard L, Sapir-Pichhadze R. (2017). Performance of an allele-level multi-locus HLA genotype imputation tool in hematopoietic stem cell donors from Quebec. Immunity, Inflammation and Disease. 5(4): 551–559.
  • Guillotte S, Perron F, Segers, J. (2018). Bayesian inference for bivariate ranks. Submitted. https://arxiv.org/abs/1802.03300
  • Jiang L(*), Zhao K(*), Klein K, Canty AJ, Oualkacha K, Greenwood CMT. (2018). Investigating potential causal relationships between SNPs, DNA methylation and HDL. BMC Proceeding. 12 (Suppl 9): 20.
  • Lefebvre G, Samoilenko M(*), Boucoiran I, Blais L. (2018). A Bayesian finite mixture of bivariate regressions model for causal mediation analyses. Statistics in Medicine. 37(25): 3637-3660.
  • Ouhourane M(*), Yang Y, Benedet LA, Oualkacha K. (2018). Group penalized smooth quantile regression. Submitted.
  • Rivest L-P and Oualkacha K. (2018). Modelling of SE(3) objects. Thomas Verdebout and Christopher Ley. Applied Directional Statistics: Modern Methods and Case Studies. First: 1-14. Published, Chapman and Hall/CRC.
  • Samoilenko M(*), Blais L, Boucoiran I, Lefebvre G. (2018). Using a mixture of bivariate regression model to explore heterogeneity of effects of use of inhaled corticosteroids on gestational age and birthweight among pregnant women with asthma. American Journal of Epidemiology. 187(9): 2046-2059.
  • Samoilenko M(*), Blais L, Lefebvre G. (2018). Comparing logistic and log-binomial models for causal mediation analyses of binary mediators and rare binary outcomes: case-report evidence to support crosschecking of mediation results in practice. Observational Studies. 4: 193-216.
  • Sun J(*), Oualkacha K, Forgetta V, Zheng HF, Richards B, Orwoll E, Evans D, Greenwood CMT. (2018). Exome-wide rare variant analyses of two bone mineral density phenotypes: the challenges of analyzing rare genetic variation. Scientific Reports (a Nature research journal). 8(1): 220.
  • Talbot D, Rossi AM, Atherton J, Bacon SL, Lefebvre G. (2018). A graphical perspective of marginal structural models: an application for the estimation of the effect of physical activity on blood pressure. Statistical Methods in Medical Research. 27(8): 2428-36 (Epub 2016).
  • Turgeon M, Oualkacha K, Ciampi A, Miftah H(*), Dehghan G, Zanke BW, Benedet AL, Rosa-Neto P, Greenwood CMT, Labbe A; Alzheimer’s Disease Neuroimaging Initiative. (2018). Principal component of explained variance: An efficient and optimal data dimension reduction framework for association studies. Statistical Methods in Medical Research. 27(5): 1331-1350.
  • Zhao K(*), Jiang L(*), Klein K, Greenwood CMT, Oualkacha K. (2018). CpG-set association assessment of lipid concentration changes and DNA methylation on chromosome 11. BMC Proceeding. 12 (Suppl 9): 30.

2017

  • Allab I(*), Watier F. (2017). First-passage time estimation of diffusion processes through time-varying boundaries with an application in finance. International Journal of Statistics and Probability. 6(1): 59-70.
  • Beaulac C(*), Larribe F. (2017). Narrow artificial intelligence with machine learning for real time estimation of a mobile agent’s location using Hidden Markov Models. International Journal of Computer Games Technology. 2017
  • Boraschi-Diaz I, Tauer JT, El Rifai O, Guillemette D(*), Lefebvre G, Rauch F, Ferron M, Komarova SV. (2017). Metabolic phenotype in the mouse model of osteogenesis imperfecta. The Journal of Endocrinology. 234(3): 279-289.
  • Coeurjolly JF, Lavancier F. (2017). Parametric estimation of pairwise Gibbs point processes with infinite range interaction. Bernoulli. 23(2): 1299-1334.
  • Coeurjolly JF, Møller J, Waagepetersen R. (2017). Palm distributions for log Gaussian Cox processes. Scandinavian Journal of Statistics. (preprint available at arXiv:1506.04576). 44(1): 192-203.
  • Coeurjolly JF, Møller J, Waagepetersen R. (2017). A tutorial on Palm distributions for spatial point processes. International Statistical Review. 85(3): 404-420.
  • Coeurjolly JF, Porcu E. (2017). Properties and Hurst exponent estimation of the circularly-symmetric fractional Brownian motion. Statistics & Probability Letters. 128: 21-27.
  • Lajoie M, Drouin S, Caron M, St-Onge P, Ouimet M, Gioia R, Lafond MH(*), Vidal R, Richer C, Oualkacha K, Droit A, Sinnett D. (2017). Specific expression of novel long non-coding RNAs in high-hyperdiploid childhood acute lymphoblastic leukemia. PLoS One. 12(3): e0174124.
  • Lakhal-Chaieb L, Greenwood CMT, Ouhourane M(*), Zhao K(*), Abdous B, Oualkacha K. (2017). A smoothed EM-algorithm for DNA methylation profiles from sequencing-based methods in cell lines or for a single cell type. Statistical Applications in Genetics and Molecular Biology. 16(5–6): 313–331.
  • Lefebvre G, Samoilenko M(*). (2017). On the use of the outcome variable « small for gestational age » when gestational age is a mediator: a perinatal asthma perspective. BMC Medical Research Methodology. 17(1): 165.
  • Levy E, Samoilenko M(*), Morel S, England J, Amre D, Bertout L, Drouin S, Laverdière C, Krajinovic M, Sinnett D, Lefebvre G, Marcil V. (2017). Cardiometabolic risk factors in childhood, adolescent and young adult survivors of acute lymphoblastic leukemia survivors – the PETALE cohort. Scientific Reports. 7: Article 17684.
  • Marcoux S, Drouin S, Laverdière C, Alos N, Andelfinger GU, Bertout L, Curnier D, Friedrich MG, Kritikou EA, Lefebvre G, Levy E, Lippé S, Marcil V, Raboisson M-J, Rauch F, Robaey P, Samoilenko M(*), Séguin C, Sultan S, Krajinovic M, Sinnett D. (2017). The PETALE study: late adverse effects and biomarkers in childhood acute lymphoblastic leukemia survivors. Pediatric Blood and Cancer. 64(6): 10.1002/pbc.26361.
  • Mkhadri A, Ouhourane M(*), Oualkacha K. (2017). A coordinate descent algorithm for computing penalized smooth quantile regression. Statistics and Computing. 27(4): 865-883.
  • Sun J, Oualkacha K, Forgetta V, Zheng H-F, Richards JB, Ciampi A, Greenwood CMT, UK10K Consortium. (2017). A method for analyzing multiple continuous phenotypes in rare variant association studies allowing for flexible correlations in variant effects. European Journal of Human Genetics. 12: 3181-3203. 

2016

  • Ait Kaci Azzou S(*), Larribe F, Froda S. (2016). Inferring the demographic history from DNA sequences: an importance sampling approach based on non-homogenous processes. Theoretical Population Biology. 111: 16-27.
  • Biscio CAN, Coeurjolly JF. (2016). Standard and robust intensity parameter estimation for stationary determinantal point processes. Spatial Statistics. (preprint available at arXiv:1603.07460). 18: 24-39.
  • Boulanger J(*),  Seifert L, Hérault R, Coeurjolly JF. (2016). Automatic sensor-based detection and classification of climbing activities. IEEE Sensors (preprint available at arXiv:1508.04153). 16(3): 742-749.
  • Clausel M, Coeurjolly JF, Lelong J. (2016). Stein estimation of the intensity of a spatial homogeneous Poisson point process. Annals of Applied Probability (preprint available at arXiv:1407.4372). 26(3): 1495-1534.
  • Coeurjolly JF, Guan Y, Khanmohammadi M, Waagepetersen R. (2016). Towards optimal Takacs–Fiksel estimation. Spatial Statistics (preprint available at arXiv:1512.06693). 18: 396-411.
  • Coeurjolly JF. (2016). Median-based estimation of the intensity of a spatial point process. Annals of the Institute of Statistical Mathematics (preprint available at arXiv:1410.1448). 69: 303-331.
  • Ferland R, Gauthier G, Lalancette S. (2016). The sensitivity of interest rate options to monetary policy decisions: a regime-shift pricing approach. Journal of Futures Markets. 36(1): 66-87.
  • Guillotte S, Perron F. (2016). Polynomial Pickands functions. Bernoulli. 22(1): 213-241. 
  • Lakhal-Chaieb ML, Oualkacha K, Richards JB, Greenwood, CMT. (2016). A rare variant association test in family-based designs and non-normal quantitative traits. Statistics in Medecine. 35(6): 905-921.
  • Oros Klein K, Oualkacha K, Lafond MH(*), Bhatnagar S(*), Tonin PN, Greenwood CMT. (2016). Gene coexpression analyses differentiate networks associated with diverse cancers harboring TP53 missense or null mutations. Frontiers in Genetics-Statistical Genetics and Methodology. 7: Article 137.
  • Oualkacha K, Lakhal-Chaieb L, Greenwood CMT. (2016). RVPedigree: a suite of family-based rare variant association tests for normally and non-normally distributed quantitative traits. International Journal of Epidemiology. 45(2): 402-407.
  • Samoilenko M(*), Blais L, Cossette B, Forget A, Lefebvre G. (2016). Assessing the dose-response relationship between maternal use of inhaled corticosteroids therapy and birthweight: a generalized propensity score approach. Observational Studies. 2(1): 90-118.
  • Sun J(*), Oualkacha K, Forgetta V, Zheng H, Richards JB, Ciampi A, Greenwood CMT and the UK10K Consortium. (2016). A new method for analyzing multiple continuous phenotypes in rare variant association studies that allows for flexible correlations in variant effects. European Journal of Human Genetics. 24(9): 1344-1351.

2015

  • Ait Kaci Azzou S(*), Larribe F, Froda S. (2015). A new method for estimating the demographic history from DNA sequences: an importance sampling approach. Frontiers in genetics: Evolutionary and population genetics. 6(259): 1-13.
  • Coeurjolly JF. (2015). Almost sure behavior of functionals of stationary Gibbs point processes. Statistics & Probability Letters. 97: 241-246.
  • Guillotte S, Perron J(*). (2015). Inference on Archimedean copulas using mixtures of Pólya trees. Journal of statistical planning and inference. 166: 2-13.
  • Larribe F, Boucher G(*), Dupont MJ(*). (2015). Simultaneous inference of haplotypes and alleles at a causal gene. Frontiers in Statistical Genetics and Methodology. 6(291): 1-13.
  • Sun J(*), Bhatnagar S(*), Oualkacha K, Ciampi A, Greenwood CMT. (2015). Joint analysis of multiple blood pressure phenotypes in GAW19 data by using a multivariate rare-variant association test. BMC Proceedings. 10(Suppl 7): 309-313.
  • Talbot D(*), Atherton J, Rossi AM, Bacon SL, Lefebvre G. (2015). A cautionary note concerning the use of stabilized weights in marginal structural models. Statistics in Medicine. 34(5): 812-823.
  • Talbot D(*), Lefebvre G, Atherton J. (2015). The Bayesian causal effect estimation algorithm. Journal of Causal Inference. 3(2): 207-236.
  • UK10K Consortium et al. (including Oualkacha K). (2015). The UK10K project identifies rare variants in health and disease. Nature. 526(7571): 82-90. 

2014

  • Baddeley A, Coeurjolly JF, Rubak E, Waagepetersen R. (2014). Logistic regression for spatial Gibbs point processes. Biometrika. 101(2): 377-392.
  • Bhavnagar SR, Atherton J, Benedetti A. (2014). Comparing alternating logistic regressions to other approaches to modelling correlated binary data. Journal of Statistical Computation and Simulation. 85(10): 2059-2071.
  • Coeurjolly JF, Lee K, Vidakovic B. (2014). Variance estimation for fractional Brownian motions with fixed Hurst parameters. Communications in Statistics-Theory and Methods. 43(8): 1845-1858.
  • Coeurjolly JF, Møller J. (2014). Variational approach to estimate the intensity of spatial point processes. Bernoulli. 20(3): 1097-1125. arXiv:1407.0249
  • Coeurjolly JF, Guan Y. (2014). Covariance of empirical functionals for inhomogeneous spatial point processes when the intensity has a parametric form. Journal of Statistical Planning and Inference. 155: 79-92.
  • Dovgalecs V, Boulanger J(*), Orth D, Hérault R, Coeurjolly JF, Davids K, Seifert L. (2014). Movement phase detection in climbing. Sports and Technology. 7(3-4): 174-182.
  • Dufresne L, Oualkacha K, Forgetta V, Greenwood CMT. (2014). Pathway analysis for genetic association studies: to do, or not to do? That is the question. BMC Proceedings. 8(Suppl 1): S103.
  • Froda S, Leduc H(*). (2014). Estimating the basic reproduction number from surveillance data on past epidemics. Mathematical Biosciences. 256: 89-101.
  • Labbé C, Watier F. (2014). Goal achieving probabilities of cone-constrained mean-variance portfolios. Applied Stochastic Models in Business and Industry. 30(5): 544-572.
  • Lefebvre G, Atherton J, Talbot D(*). (2014). The effect of the prior distribution in the Bayesian Adjustment for Confounding algorithm. Computational Statistics and Data Analysis. 70: 227-240.
  • Lefebvre G, Delaney JAC, McClelland R. (2014). Extending the Bayesian Adjustment for Confounding algorithm to binary treatment covariates to estimate the effect of smoking on carotid intima-media thickness: The Multi-Ethnic Study of Atherosclerosis. Statistics in Medicine. 33(16): 2797-2813.

2013

  • Coeurjolly JF, Amblard PO, Achard S. (2013). Wavelet analysis of the multivariate fractional Brownian motion. ESAIM: Probability and Statistics. 17: 592-604. arXiv:1007.2109
  • Coeurjolly JF, Lavancier F. (2013). Residuals and goodness-of-fit tests for stationary marked Gibbs point processes. Journal of the Royal Statistical Society: Series B. 75(2): 247-276. arXiv:1002.0857 
  • Coeurjolly JF, Morsli N(*). (2013). Poisson intensity parameter estimation for stationary Gibbs point processes of finite interaction range. Spatial Statistics. 4: 45-56. arXiv:1210.4402
  • Coeurjolly JF, Rubak E. (2013). Fast covariance estimation for innovations computed from a spatial Gibbs point process. Scandinavian Journal of Statistics. 40(4): 669-684.
  • Ferland R, Watier F. (2013). Switch-when-safe multiperiod mean-variance strategies. International Journal of Statistics and Probability. 2(2): 59-66.
  • Fillion M(*), Lemire M, Philibert A, Frenette B, Weiler HA, DeGuire JR, Guimarães JRD, Larribe F, Barbosa J, Mergler D. (2013). Toxic risks and nutritional benefits of traditional diet on near visual contrast sensitivity and color vision in the Brazilian Amazon. Neurotoxicology. 37: 173-181.
  • Froda S, Vanciu V(*). (2013). A bivariate non homogeneous birth and death model for predator-prey interactions. Statistics & Probability Letters. 83: 2526-2530.
  • Oualkacha K, Cingolani P, Dastani Z, Li R, Spector TD, Hammond CJ, Richards JB, Ciampi A, Greenwood CMT. (2013). Adjusted sequence kernel association test for rare variants controlling for cryptic and family relatedness. Genetic Epidemiology. 37(4): 366-376.
  • Seifert L, Coeurjolly JF, Hérault R, Wattebled L, Davids K. (2013). Temporal dynamics of inter-limb coordination in ice climbing revealed through change-point analysis of the geodesic mean of circular data. Journal of Applied Statistics. 40(11): 2317-2331. 

2012

  • Addona V, Atherton J, Wolfson D. (2012). Testing the assumptions for the analysis of survival data arising from a prevalent cohort study with follow-up. The International Journal of Biostatistics. 8(1): 22.
  • Amblard PO, Coeurjolly JF, Lavancier F, Philippe A. (2012). Basic properties of the multivariate fractional Brownian motion. Bulletin de la Société mathématique de France, Séminaires et Congrès. 28: 65-87.
  • Atherton J, Boley N, Brown B, Ogawa N, Davidson S, Eisen M, Biggin M, Bickel P. (2012). A model for sequential evolution of ligands by exponential enrichment (SELEX) data. Annals of Applied Statistics. 6(3): 928-949.
  • Breton JC, Coeurjolly JF. (2012). Confidence intervals for the Hurst parameter of a fractional Brownian motion based on finite sample size. Statistical inference for stochastic processes. 15(1): 1-26. arXiv:0910.3088
  • Chou SH, Feske SK, Atherton J, Konigsberg RG, De Jager PL, Du R, Ogilvy CS, Lo EH, Ning M. (2012). Early elevation of serum tumor necrosis factor-a is associated with poor outcome in subarachnoid hemorrhage. Journal of Investigative Medicine. 60(7): 1054-8.
  • Coeurjolly JF, Dereudre D, Drouilhet R, Lavancier F. (2012). Takacs-Fiksel method for stationary marked Gibbs point processes. Scandinavian Journal of Statistics. 49(3), 416-443.
  • Coeurjolly JF, Kortas H. (2012). Expectiles for subordinated Gaussian processes with applications. Electronic Journal of Statistics. 6: 304-323.
  • Coeurjolly JF, Le Bihan N. (2012). Geodesic normal distribution on the circle. Metrika. 75(7): 977-995.
  • Coeurjolly JF, Nguile-Makao M(*), Timsit JF, Liquet B. (2012). Attributable risk estimation for adjusted disability multistate models: Application to nosocomial infections. Biometrical Journal. 64(5): 600-616.
  • Froda S, Ferland R. (2012). Estimating the parameters of a Poisson process model for predator-prey interactions. Statistics & Probability Letters. 82(12): 2252-2259.
  • Guillotte S, Perron F. (2012). Bayesian estimation of a bivariate copula function using the Jeffreys prior. Bernoulli. 18(2): 496-519.
  • Oualkacha K, Labbe A, Ciampi A, Roy MA, Maziade M. (2012). Principal components of heritability for high dimension quantitative traits and general pedigrees. Journal of Statistical Applications in Genetics and Molecular Biology. 11(2): Article 4.
  • Oualkacha K, Rivest LP. (2012). On the estimation of an average rigid body motion. Biometrika. 99(3): 585-598.
  • Scott A(*), Watier F. (2012). Bounds for goal achieving probabilities of mean-variance strategies with a no bankruptcy constraint. Applied Mathematics. 3(12A): 2022-2025.