Publications (depuis 2012)

Ci-dessous par année, vous trouverez les publications (soumises, à paraître et publiées) des membres réguliers et associés 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 2019]

 

2019
  • Arango-Castillo L(*),  Atherton J and Froda S. (2019). Unemployment Durations over Fixed Time Windows: a Comparison of Complex Survey data in the Presence of Missing Information. Submitted.
  • Bouret P. and Coeurjolly J.-F. (2019). A concentration inequality for inhomogeneous Neymann-Scott point processes. Statistics & Probability Letters. 148: 30-34.
  • 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. To appear.
  • Choiruddin* A., J.-F. Coeurjolly and F. Letué. (2019). Dantzig selector and Adaptive Lasso methods for spatial point processes intensity estimation with a diverging number of parameters. submitted
  • Choiruddin* A., F Cuevas-Pacheco*, JF Coeurjolly and R Waagepetersen. (2019). Regularized estimation for highly multivariate log Gaussian Cox processes. Statistics and Computing (available at arXiv:1905.01455). Submitted.
  • Coeurjolly JF, Cuevas-Pacheco F and 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 and Lavancier F. (2019). Understanding spatial point patterns through intensity and conditional intensities. CEMPI Springer Lecture Notes in Mathematics 2237 (Ed. Coupier). : 45-85.
  • Coeurjolly JF and Rousseau-Trépanier J. (2019). The median of a jittered Poisson distribution.  (available at arXiv:1901.05367). Submitted.
  • Descary M-H, Panaretos V. (2019). Functional data analysis by matrix completion. Annals of Statistics. 47(1): 1-38.
  • Descary MH and 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. In revision for Genetic Epidemiology.
  • *Kharoubi R, Oualkacha K, Mkhadri A. (2019). The Cluster Correlation-Network Support Vector Machine for High-dimensional Binary Classification. In revision for Journal of Statistical Computation and Simulation.
  • Lemay V, Samoilenko M (*), Caru 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.NA: NA. To appear.
  • Mazoyer* A., Coeurjolly JF and Amblard PO. (2019). Projections of determinantal point processes. Electronic Journal of Statistics (available at arXiv:1901.02099). To appear.
  • 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). Natural direct and indirect risk ratio expressions in causal mediation analysis of binary mediators and binary outcomes: a fresh look at the formulas. In revision for American Journal of Epidemiology.
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.
  • Atherton J., Ruths D. and Vetta A. (2018). Computation in Causal Graphs. To appear in Journal of Graph Algorithms and Applications.
  • 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. preprint version arxiv.org:1810.09214.
  • Binette, O. et Guillotte, S. (2018). Bayesian Nonparametrics for Directional Statistics. To appear in Journal of Statistical Planning and Inference.
  • Choiruddin* A., Coeurjolly J.-F. and Letué F.. (2018). Spatial point processes intensity estimation with a diverging number of covariates. Submitted. (available at arxiv:1703.02462).
  • Choiruddin*, A and Coeurjolly, J.-F. and 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 and Lavancier F. Intensity approximation for pairwise interaction Gibbs point processes using determinantal point processes. Electronic Journal of Statistics, 12:3181–3203, 2018.
  • Coeurjolly, J.-F. and 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 E E, 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.  To appear in Clinical Nutrition.
  • 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. DOI: 10.1111/tan.133.
  • Ferland R. and 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. et Segers, J. (2018). Bayesian inference for bivariate ranks. Submitted.
  • *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. To appear in Statistics in Medicine.
  • 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. (2018). Biomarkers of cardiometabolic complications affecting survivors of childhood acute lymphoblastic leukemia. Submitted.
  • *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, Arrouf N, Blais L, Lefebvre G. (2018). 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. Submitted.
  • 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.
  • *Sun J, Oualkacha K, Greenwood CMT, Lakhal-Chaieb L. (2018). Multivariate association test for rare variants controlling for cryptic and family relatedness. To appear in The Canadian Journal of Statistics.
  • Tounkara F, Lefebvre G, Greenwood C, Oualkacha K. (2018). A flexible copula-based approach for the analysis of secondary phenotypes in ascertained samples. In revision for Statistics in Medicine.
  • 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* and 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, J.-F. and Lavancier, F. (2017). Parametric estimation of pairwise Gibbs point processes with infinite range interaction. Bernoulli, 23(2):1299-1334.
  • Coeurjolly, J.-F. and Møller, J. and R. 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, J.-F. and Møller, J. and R. Waagepetersen, R. (2017). A tutorial on Palm distributions for spatial point processes. International Statistical Review. 85(3): 404-420.
  • Coeurjolly JF and E. Porcu E. (2017). Properties and Hurst exponent estimation of the circularly-symmetric fractional Brownian motion. Statistics and 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 DNAmethylation profiles fromsequencing-based methods in cell lines orfor 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.
  • Lemay V, Samoilenko M, Caru 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. (2017).
    Prevention of long term adverse health outcomes with cardiorespiratory fitness and physical activity in childhood acute lymphoblastic leukemia. Cancer Epidemiology, Biomarkers & Prevention. Submitted.
  • Levy E, Samoilenko M, Morel S, England J, Amre D, Bertout L, Drouin S, Laverdiere 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.
  • 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, J.B., Ciampi, A., Greenwood, C.M.T., UK10K Consortium. 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, 2017.
2016
  • Ait Kaci Azzou S*, Larribe F, and 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, C.A.N. and Coeurjolly, J.-F. (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. and Seifert, L. and Hérault, R. and Coeurjolly, J.-F. (2016). Automatic sensor-based detection and classification of climbing activities. IEEE Sensors. Preprint available at arXiv:1508.04153), 16:3, 742–749.
  • Clausel, M. and Coeurjolly, J.-F. and 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, J.-F., Guan, Y., Khanmohammadi, M. and Waagepetersen, R. (2016). Towards optimal Takacs–Fiksel estimation. Spatial Statistics. (preprint available at arXiv:1512.06693), 18: 396-411.
  • Coeurjolly, J.-F. (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. and   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. and Perron, F. (2016). Polynomial Pickands functions. Bernoulli. 22(1): 30 p. 
  • 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.
  • 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. (2016). The PETALE study: late adverse effects and biomarkers in childhood acute lymphoblastic leukemia survivors. Pediatric Blood and Cancer. 64(6): NA.
  • 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. NA: 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.
  • Talbot D, Rossi AM, Atherton J, Bacon SL, Lefebvre G. (2016). A graphical perspective of marginal structural models: an application for the estimation ofthe effect of physical activity on blood pressure.
    Statistical Methods in Medical Research. 27(8): 2428-36 (Epub 2016).
     
  • Ait Kaci Azzou S*, Larribe F and 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, J.-F. (2015). Almost sure behavior of functionals of stationary Gibbs point processes. Statistics & Probability Letters. 97: 241-246.
  • Larribe F, Boucher G* and 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., Atherton J., Lefebvre G., Rossi A.M. and Bacon S.L. (2015). Authors Reply to Comments on « A Cautionary Note Concerning the Use of Stabilized Weights in Marginal Structural Models ». Statistics in
    Medicine. 34(18): 2676-2677.
  • 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. and Coeurjolly, J.-F. and Rubak, E. and Waagepetersen, R. (2014). Logistic regression for spatial Gibbs point processes. Biometrika. 101(2): 377-–392.
  • Bhavnagar S.R., Atherton J. and 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, J.-F. and Lee, K. and Vidakovic, B. (2014). Variance estimation for fractional Brownian motions with fixed Hurst parameters. Communications in Statistics-Theory and Methods. 43(8): 1845-1858.
  • Coeurjolly, J.-F. and Møller, J. (2014). Variational approach to estimate the intensity of spatial point processes. Bernoulli (preprint available at arXiv:1407.0249). 20(3): 1097-1125.
  • Coeurjolly, J.-F. and 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. and Boulanger*, J. and Orth, D. and Hérault, R. and Coeurjolly, J.-F. and Davids, K. and 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.
  • Guillotte, S. and * Perron, J. (2014). Inference on Archimedean copulas using mixtures of Pólya trees. Journal of statistical planning and inference.
  • 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.
  • Lefebvre G., Atherton J. and Talbot, D. (2014). The Effect of the Prior Distribution in the Bayesian Adjustment for Confounding Algorithm. Computational Statistics and Data Analysis. 70: 227-240.
2013
  • Coeurjolly, JF, Amblard PO and Achard S. (2013). Wavelet analysis of the multivariate fractional Brownian motion. ESAIM: Probability and Statistics. preprint available at arXiv:1007.2109). 17: 592–604.
  • Coeurjolly, J.-F. and Lavancier, F. (2013). Residuals and goodness-of-fit tests for stationary marked Gibbs point processes. Journal of the Royal Statistical Society: Series B. (preprint available at arXiv:1002.0857). 75(2): 247–276.
  • Coeurjolly, J.-F. and Morsli*, N. (2013). Poisson intensity parameter estimation for stationary Gibbs point processes of finite interaction range. Spatial Statistics. (preprint available at arXiv:1210.4402), 4:45-56.
  • Coeurjolly, J.-F. and 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. and 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 and 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. and Coeurjolly, J.-F. and Hérault, R. and Wattebled, L. and 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. and 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)
  • Amblard PO, Coeurjolly JF, Lavancier F. and Philippe A. (2012). Basic properties of the multivariate fractional Brownian motion. Bulletin de la Société Mathématique de France, Séminaires et Congrés. 28:65-87.
  • Atherton J., Boley N., Brown B., Ogawa N., Davidson S., Eisen M., Biggin M. and Bickel P. (2012). A Model for Sequential Evolution of Ligands by Exponential Enrichment (SELEX) Data. Annals of Applied Statistics. 6(3): 928-949.
  • Breton, J.-C. and Coeurjolly, J.-F. (2012). Confidence intervals for the Hurst parameter of a fractional Brownian motion based on finite sample size. Statistical inference for stochastic processes. (preprint
    available at arXiv:0910.3088). 15(1): 1-26.
  • Chou S.H., Feske S.K., Atherton J., Konigsberg R.G., De Jager P.L., Du R., Ogilvy C.S., Lo E.H. and 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, J.-F., Dereudre, D., Drouilhet, R. and Lavancier, F. (2012). Takacs-Fiksel method for stationary marked Gibbs point processes. Scandinavian Journal of Statistics, 49(3), 416–443, 2012.
  • Coeurjolly, J.-F. and Kortas, H. (2012). Expectiles for subordinated Gaussian processes with applications. Electronic Journal of Statistics, 6:304–323.
  • Coeurjolly, J.-F. and Le Bihan, N. (2012). Geodesic Normal distribution on the circle. Metrika, 75(7):977–995.
  • Coeurjolly, J.-F. and Nguile-Makao*, M. and Timsit, J.-F. and Liquet, B. (2012). Attributable risk estimation for adjusted disability multistate models: Application to nosocomial infections. Biometrical Journal, 64(5):600–616.
  • Froda S. and Ferland R. (2012). Estimating the parameters of a Poisson process model for predator-prey interactions. Statistics & Probability Letters. 82(12): 2252-2259.
  • Guillotte, S. and 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 and Rivest LP. (2012). On the estimation of an average rigid body motion. Biometrika. 99(3):585-598.
  • Scott, A.* and Watier, F. (2012). Bounds for Goal Achieving Probabilities of Mean-Variance Strategies with a No Bankruptcy Constraint. Applied Mathematics. 3(12A): 2022-2025.