Liangliang Wang

Refereed Publications


Google Scholar Profile

2022

  • S. Wang, S. Ge, B. Sobkowiak, L. Wang, L. Grandjean, C. Colijn, L. T. Elliott (2022) Genome-wide association with uncertainty in the genetic similarity matrix. Accepted by Journal of Computational Biology pdf

  • Y. Nie, L. Wang, J. Cao (2022) Estimating Functional Single Index Models with Compact Support. Accepted by Environmetrics.

  • L. Wang, J. Min, R. Doig, L. T. Elliott, C. Colijn (2022) Estimation of SARS-CoV-2 antibody prevalence through serological uncertainty and daily incidence. The Canadian Journal of Statistics pdf

  • Shi, H., Yang, Y., Wang, L., Ma, D., Beg, M.F., Pei, J., and Cao, J. (2022) Two-Dimensional Functional Orthogonal Approximation Method for Image Feature Extraction. Accepted by Journal of Computational and Graphical Statistics. 1-36.

  • Nie, Y., Yang, Y., Wang, L. and Cao, J. (2022) Recovering the Underlying Trajectory from Sparse and Irregular Longitudinal Data. Canadian Journal of Statistics, 50(1), 122-141.pdf


  • 2021

  • Ge, S., Wang, S., Nathoo, F., and Wang, L. (2021) Online Bayesian learning for mixtures of spatial spline regressions with mixed-effects. Journal of Statistical Computation and Simulation. In press.pdf

  • Wang, S., Ge, S., Doig, R., and Wang, L. (2021) Adaptive semiparametric Bayesian differential equations via sequential Monte Carlo. Journal of Computational and Graphical Statistics. In press. pdf

  • Ge, S., Song, Y., Cao, J., Wang, L., and Nathoo, F. (2021) A Bayesian spatial model for imaging genetics. Biometrics. In press. pdf

  • Dong, J., Shi, H., Wang, L., Zhang, Y., and Cao, J. (2021) Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis. Journal of Applied Statistics, 1-17. pdf

  • Wang, S., Ge, S., Colijn, C., Biller, P., Wang, L., and Elliott, L.T. (2021) Computation of genetic similarity matrices using phylogenies. Journal of Computational Biology, 28(6), 587-600. pdf

  • Liu, B., Wang, L., Nie, Y., and Cao, J. (2021) Semiparametric Mixed-effects Ordinary Differential Equation Models with Heavy-Tailed Distributions. Journal of Agricultural, Biological and Environmental Statistics, 26(3):428-445. pdf

  • Shi, H., Dong, J., Wang, L., and Cao, J. (2021) Functional Principal Component Analysis for Longitudinal Data with Informative Dropout. Statistics in Medicine, 40(3), 712-724. pdf

  • Stockdale, J.E., Doig, R., Min, J., Mulberry, N., Wang, L., Elliott, L.T., and Colijn, C. (2021) Long time frames to detect the impact of changing COVID-19 control measures. Eurosurveillance, 26(40). pdf

  • Wang, S., Nie, Y., Sutherland, M.J., and Wang, L. (2021) Pattern Discovery of Health Curves with an Ordered Probit Model. Statistical Methods in Medical Research, 30(2), 458-472. pdf


  • 2020

  • Wang, S., and Wang, L. (2020) Particle Gibbs sampling for Bayesian phylogenetic inference. Bioinformatics, 37(5), 642-649. pdf

  • Nie, Y., Opoku, E., Yasmin, L., Song, Y., Wang, J., Wu, S., Scarapicchia, V., Gawryluk, J., Wang, L., Cao, J., and Nathoo, F. (2020) Spectral Dynamic Causal Modelling of Resting-State fMRI: Relating Effective Brain Connectivity in the Default Mode Network to Genetics. Statistical Applications in Genetics and Molecular Biology. pdf

  • Wang, S., Wang, L., and Swartz, T. B. (2020) Inference for Misclassified Multinomial Data with Covariates. The Canadian Journal of Statistics. pdf

  • Wang, L., Wang, S., and Bouchard-Côté, A. (2020) An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics. Systematic Biology. 69(1), 155-183. pdf


  • 2019

  • Ge, S., Wang, S., Teh, Y.W., Wang, L., and Elliott, L.T. (2019) Random Tessellation Forests. In Proceedings of the 32nd Conference on Neural Information Processing Systems (NeurIPS). pdf

  • Kirkpatrick, B., Ge S., and Wang, L. (2019) Efficient Computation of the Kinship Coefficients. Bioinformatics, 35(6), 1002-1008. pdf

  • Sang, P., Wang, L., and Cao J. (2019), Estimation of Sparse Functional Additive Models with Adaptive Group LASSO. Statistica Sinica. Published online DOI: 202017.0491. pdf

  • Liu, B., Wang, L., Nie, Y., and Cao, J. (2019) Bayesian Inference of Mixed-effects Ordinary Differential Equations Models Using Heavy-tailed Distributions. Computational Statistics and Data Analysis. 137, 233-246. pdf

  • Sang, P., Wang, L., and Cao J. (2019), Weighted Empirical Likelihood Inference for Dynamical Correlations. Computational Statistics and Data Analysis, 131, 194-206. pdf

  • Dong, J., Wang, S., Wang, L., Cao, J., and Gill, J. (2019) Joint Modelling for Organ Transplantation Outcomes for Patients with Diabetes and the End-Stage Renal Disease. Statistical Methods in Medical Research. 28(9):2724-2737. pdf


  • 2018

  • Chauve, C., Feng, J., and Wang, L. (2018) Detecting introgression in Anopheles mosquito genomes using a reconciliation-based approach. RECOMB Comparative Genomics 2018. pdf

  • Nie, Y., Wang, L., Liu, B., and Cao, J., (2018) Supervised Functional Principal Component Analysis. Statistics and Computing. 28(3), 713-723. pdf

  • Liu, B., Wang, L., and Cao, J., (2018) Bayesian Estimation of Ordinary Differential Equation Models when the Likelihood Has Multiple Local Modes. Monte Carlo Methods and Applications. 24(2), 117- 127. pdf

  • Lombardo, P., Jones, W., Wang, L., Shen, X., and Goldner, M. E. (2018) The fundamental association between mental health and life satisfaction: Results from successive waves of a Canadian national survey. Accepted by BMC Public Health.


  • 2017

  • Nie, Y., Wang, L., and Cao, J. (2017) Estimating Time-Varying Directed Gene Regulation Networks. Biometrics, 73, 1231-1242.

  • Sang, P., Wang, L., and Cao, J., (2017), Parametric Functional Principal Component Analysis. Biometrics, 73, 802-810.

  • Langlois, G., Craig, M., Humphries, A., Mackey, M., Mahaffy, J., Belair, J., Moulin, T., Sinclair, S., Wang, L., (2017) Normal and pathological dynamics of platelets in humans. Journal of Mathematical Biology, 75:1411-1462.

  • Liu, B., Wang, L., Cao, J., (2017) Estimating Functional Linear Mixed-Effects Regression Models. Computational Statistics and Data Analysis, 106, 153-64.

  • Dong, J., Wang, L., Gill, J. and Cao, J. (2017) Functional Principal Component Analysis of GFR Curves after Kidney Transplant. Accepted by Statistical Methods in Medical Research. Published online DOI: 10.1177/0962280217712088

  • Cao, J., Wang, L., Huang, Z., Gai, J. and Wu, R. (2017) Functional Mapping of Multiple Dynamic Traits. Journal of Agricultural, Biological, and Environmental Statistics, 22, 60-75.

  • Lin, Z., Cao, J., Wang, L., and Wang, H., (2017) Locally Sparse Estimator for Functional Linear Regression Models. Journal of Computational and Graphical Statistics, 26(2), 306-318.


  • 2011-2016

  • Lin, Z., Wang, L. and Cao, J. (2016), Interpretable Functional Principal Component Analysis. Biometrics, 72, 846-854.

  • Wang, L. and Bouchard-Côté, A., and Doucet, A. (2015) Bayesian Phylogenetic Inference using a Combinatorial Sequential Monte Carlo Method. Journal of the American Statistical Association. 110(512), 1362-1374. Java code

  • Hajiaghayi, M., Kirkpatrick, B., Wang, L. and Bouchard-Côté, A. (2014) Efficient Continuous-Time Markov Chain Estimation. International Conference on Machine Learning (ICML).

  • Wang, L., Cao, J., Ramsay, J.O., Burger, D. M., Laporte, C. J. L., and Rockstrohk, J. K. (2014) Estimation of mixed-effects differential equation models. Statistics and Computing. 24(1), 111-121

  • Jun, S., Wang, L. and Bouchard-Côté, A. (2012) Entangled Monte Carlo. Advances in Neural Information Processing Systems 25 (NIPS).

  • Hadgu, A., Dendukuri, N., and Wang, L. (2012) Evaluation of Screening Tests for Chlamydia Trachomatis: Bias Associated with the Patient Infected Status Algorithm. Epidemiology. 23, 72-82.

  • Wang, L. and Cao, J. (2012) Estimating Parameters in Delay Differential Equation Models. Journal of Agricultural, Biological, and Environmental Statistics. 17, 68-83.

  • Cao, J., Cai J., Wang, L. (2012) Estimating Curves and Derivatives with Parametric Penalized Spline Smoothing. Statistics and Computing. 22(5), 1059-1067.

  • Dendukuri, N., Wang, L., and Hadgu, A. (2011) Evaluating diagnostic tests for Chlamydia trachomatis in the absence of a gold-standard: A comparison of 3 statistical methods. Statistics in Biopharmaceutical Research. Vol. 3, No. 2, 385-397.


  • 2005-2010

  • Cao, J., Wang, L. and Xu, J. (2010) Robust Estimation for Ordinary Differential Equation Models. Biometrics. 67, 1305-1313.

  • Dendukuri, N., Hadgu, A. and Wang, L. (2009) Modeling conditional dependence between multiple diagnostic tests: A hierarchical latent class model. Statistics in Medicine. 28, 441-461.

  • Alkuwari, E., Khetani, K., Dendukuri, N., Wang, L. and Auger, M. (2009) Quantitative Assessment of Nuclear Grooves in Fine-Needle Aspirations of the Thyroid: A Retrospective Cytohistological Study of 94 Cases. Analytical and Quantitative Cytology and Histology. 31, 61-169.

  • Pai, M., Dendukuri, N., Wang, L., Joshi, R., Kalantri, S. and Rieder, H. (2008) Improving the estimation of tuberculosis infection prevalence using T-cell-based assay and mixture models. The International Journal of Tuberculosis and Lung Disease. 12, 895-902.

  • Wang, L. and Ma, J. (2007) Informative Gene Set Selection Based on Rival Penalized Competitive Learning and Redundancy Analysis. Lecture Notes in Computer Science. 4491, 1227-1236.

  • Wang, L. and Ma, J. (2005) A Post-filtering Gene Selection Algorithm Based on Redundancy and Multi-gene Analysis. International Journal of Information Technology. 11, 2369-2378.