Grouped Publications by Longhai Li
(Trainees are marked with*, chronological list in my CV)
Predictive Analysis and Feature Selection
Jin, L.*, McQuillan, I., Li, L., 2017. Computational identification of harmful mutation regions to the activity of transposable elements. BMC Genomics 18, 862.
Lingling Jin*, Ian McQuillan, and Longhai Li (2016). Computational Identification of Regions that Influence Activity of Transposable Elements in the Human Genome, accepted as a regular paper by the 2016 IEEE International Conference on Bioinformatics and Biomedicine (acceptance rate for regular papers 0.19).
Longhai Li (2014), An Introduction to Microarray Data, Invited talk for the workshop Statistical Issues in Biomarker and Drug Co-development, Fields Institute, Toronto.
Li, L. (2012). Bias-corrected Hierarchical Bayesian Classification with a Selected Subset of High-dimensional Features. Journal of American Statistical Association, 107:497, 120-134. [technical report], [software], [slides].
Li, L., and Neal, R. M. (2008). Compressing Parameters in Bayesian High-order Models with Application to Logistic Sequence Models. Bayesian Analysis, 2008, 3(4), 793-822. [technical report], [slides], [software].
Li, L., Zhang, J., and Neal, R. M. (2008). A Method for Avoiding Bias from Feature Selection with Application to Naive Bayes Classification Models. Bayesian Analysis, 2008, 3(1), 171-196. [technical report], [slides], [software].
Predictive Model Comparison and Checking
Yunyang Wang*, 2016, Comparison of Stochastic Volatility Models Using Integrated Information Criteria, M.Sc. thesis supervised by me. Article version in progress.
Longhai Li, Cindy X. Feng, and Shi Qiu* (2017), Estimating Cross-validatory Predictive P-values with Integrated Importance Sampling for Disease Mapping Models. [slides], [R code], arXiv:1603.07668, Statistics in Medicine, Volume 36, Issue 14, Pages 2220-2236.
Li, L., Qiu, S.*, Zhang, B.*, and Feng, C.X. (2016). Approximating Cross-validatory Predictive Evaluation in Bayesian Latent Variables Models with Integrated IS and WAIC. arXiv 1404.2918, [slides-I], [slides-II], Statistics and Computing, Volume 26, Issue 4, pp 881-897.
Statistical Modelling of Data with Complex Structure
Cindy X. Feng, Mehdi Rostami, and Longhai Li (2017), Impact of Misspecified Residual Correlation Structure on the Parameter Estimates in a Shared Spatial Frailty Model. Journal of Statistical Computation and Simulation, 87 (12), 2384-2410.
Feng, C. X. and Li, L. (2016). Modeling Zero Inflation and Overdispersion in the Length of Hospital Stay for Patients with Ischaemic Heart Disease, in the book Advanced Statistical Methods in Big-Data Sciences, edited by D. Chen, J. Chen J, X. Lu, G. Yi and H. Yu, Springer.
Khan, S. A., Rana, M.*, Li, L., Dubin, J. A., (2012). A Statistical Investigation to Monitor and Understand Atmospheric CFC Decline with the Spatial-Longitudinal Bent-Cable Model. International Journal of Statistics and Probability, 1(2), 56-68. [technical report].
Sajobi, T. T.*, Lix, L. M., Dansu, B.M., Laverty, W., Li, L. (2012). Robust Descriptive Discriminant Analysis for Repeated Measures Data. Computational Statistics and Data Analysis, 56 (9), 2782-2794.
Sajobi, T.T.*, Lix, L. M., Li, L., and Laverty, W. (2011). Discriminant Analysis for Repeated Measures Data: Effects of Mean and Covariance Misspecification on Bias and Error in Discriminant Function Coefficients. Journal of Modern Applied Statistical Methods, 10 (2), 571-582. [technical report]
Mode Regression, Mixture Modelling, Sampling Survey
Yao, W. and Li, L. (2014). A New Regression Model: Modal Linear Regression. Scandinavian Journal of Statistics,Volume 41, Issue 3, pages 656-671. [technical report].
Yao, W. and Li, L. (2014). An Online Bayesian Mixture Labelling Method by Minimizing Deviance of Classification Probabilities to Reference Labels. Journal of Statistical Computation and Simulation, 84 (2), 310-323.
Zhengrong Li, 2012. A Non-MCMC Procedure for Fitting Dirichlet Process Mixture Models, M.Sc. thesis supervised by me. This thesis reports a new method for fitting Dirichlet process mixture model.
Li, L. (2010). Are Bayesian Inferences Weak for Wasserman's Example? Communications in Statistics -- Computation and Simulation, 2010, 39(3), 655-667. [technical report], [slides].
Soltanifar, M.*, Li, L., and Rosenthal, J. S. (2010). A Collection of Exercises in Advanced Probability Theory, World Scientific Publishing, Singapore.
Li, L. (2007). Bayesian Classification and Regression with High Dimensional Features, Ph.D. thesis accepted by University of Toronto. [software for: Chapter 2.1, Chapter 2.2, Chapter 3].
I also release some software packages, written in R and/or C, in addition to my technical reports. They are collectively listed on my research software page.
This page is part of the professional homepage of Longhai Li.