A new regression model: modal linear regression W Yao, L Li Scandinavian Journal of Statistics 41 (3), 656-671, 2014 | 79 | 2014 |
Approximating cross-validatory predictive evaluation in Bayesian latent variable models with integrated IS and WAIC L Li, S Qiu, B Zhang, CX Feng Statistics and Computing 26 (4), 881-897, 2016 | 31 | 2016 |
Fully Bayesian logistic regression with hyper-LASSO priors for high-dimensional feature selection L Li, W Yao Journal of Statistical Computation and Simulation 88 (14), 2827-2851, 2018 | 14 | 2018 |
A comparison of residual diagnosis tools for diagnosing regression models for count data C Feng, L Li, A Sadeghpour BMC Medical Research Methodology 20 (1), 1-21, 2020 | 13* | 2020 |
A method for avoiding bias from feature selection with application to naive bayes classification models L Li, J Zhang, RM Neal Bayesian Analysis 3 (1), 171-196, 2008 | 12 | 2008 |
Sleep duration and sleep disturbances in association with falls among the middle-aged and older adults in China: a population-based nationwide study SK Essien, CX Feng, W Sun, M Farag, L Li, Y Gao BMC geriatrics 18 (1), 196, 2018 | 10 | 2018 |
Robust descriptive discriminant analysis for repeated measures data TT Sajobi, LM Lix, BM Dansu, W Laverty, L Li Computational Statistics & Data Analysis 56 (9), 2782-2794, 2012 | 10 | 2012 |
Compressing parameters in Bayesian high-order models with application to logistic sequence models L Li, RM Neal Bayesian Analysis 3 (4), 793-821, 2008 | 9 | 2008 |
Estimating cross‐validatory predictive p‐values with integrated importance sampling for disease mapping models L Li, CX Feng, S Qiu Statistics in medicine 36 (14), 2220-2236, 2017 | 7 | 2017 |
Bias-corrected hierarchical bayesian classification with a selected subset of high-dimensional features L Li Journal of the American Statistical Association 107 (497), 120-134, 2012 | 7 | 2012 |
An online Bayesian mixture labelling method by minimizing deviance of classification probabilities to reference labels W Yao, L Li Journal of statistical computation and simulation 84 (2), 310-323, 2014 | 6 | 2014 |
A statistical investigation to monitor and understand atmospheric CFC decline with the spatial-longitudinal bent-cable model SA Khan, M Rana, L Li, JA Dubin International Journal of Statistics and Probability 1 (2), 56, 2012 | 6 | 2012 |
Bayesian Classification and Regression with High Dimensional Features L Li arXiv preprint arXiv:0709.2936, 2007 | 6 | 2007 |
Calculating the Confidence Intervals Using Bootstrap L Li Presentation Notes, University of Toronto, 2004 | 4 | 2004 |
Discriminant analysis for repeated measures data: Effects of mean and covariance misspecification on bias and error in discriminant function coefficients TT Sajobi, LM Lix, L Li, W Laverty Journal of Modern Applied Statistical Methods 10 (2), 15, 2011 | 3 | 2011 |
Antimicrobial resistance genetic factor identification from whole-genome sequence data using deep feature selection J Shi, Y Yan, MG Links, L Li, JAR Dillon, M Horsch, A Kusalik BMC bioinformatics 20 (15), 1-14, 2019 | 2 | 2019 |
Deep learning for brain disorder diagnosis based on fMRI images W Yin, L Li, FX Wu Neurocomputing, 2020 | 1 | 2020 |
Computational identification of harmful mutation regions to the activity of transposable elements L Jin, I McQuillan, L Li BMC genomics 18 (9), 1-15, 2017 | 1 | 2017 |
Modeling Zero Inflation and Overdispersion in the Length of Hospital Stay for Patients with Ischaemic Heart Disease CX Feng, L Li Advanced Statistical Methods in Data Science, 35-53, 2016 | 1 | 2016 |
Acknowledgement of priority W Yao, L Li Scandinavian Journal of Statistics 4 (41), 1195-1195, 2014 | 1 | 2014 |