| A Comparison of Estimation Methods for Shared Gamma Frailty Models T Wu, C Feng, L Li Statistics in Biosciences, 1-22, 2024 | | 2024 |
| A Comparison of Parameter Estimation Methods for Shared Frailty Models T Wu, C Feng, L Li arXiv preprint arXiv:2311.11543, 2023 | | 2023 |
| 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 | 100* | 2020 |
| A graph attention neural network for diagnosing ASD with fMRI data W Yin, L Li, FX Wu 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 11 | 2021 |
| A method for avoiding bias from feature selection with application to naive bayes classification models L Li, RM Neal, J Zhang Bayesian Analysis 3 (1), 171-196, 2008 | 15 | 2008 |
| A new regression model: modal linear regression W Yao, L Li Scandinavian Journal of Statistics 41 (3), 656-671, 2014 | 219 | 2014 |
| A semi-supervised autoencoder for autism disease diagnosis W Yin, L Li, FX Wu Neurocomputing 483, 140-147, 2022 | 28 | 2022 |
| 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 |
| Advancements in predicting and modeling rare event outcomes for enhanced decision-making C Feng, L Li, C Xu BMC Medical Research Methodology 23 (1), 243, 2023 | 2 | 2023 |
| 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 | 9 | 2014 |
| 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, 1-14, 2019 | 31 | 2019 |
| 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, 881-897, 2016 | 43 | 2016 |
| Are Bayesian Inferences Weak for Wasserman's Example? L Li Communications in Statistics—Simulation and Computation® 39 (3), 655-667, 2010 | 3 | 2010 |
| Avoiding Bias from Feature Selection L Li | | 2008 |
| Bayesian Classification and Regression with High Dimensional Features L Li arXiv preprint arXiv:0709.2936, 2007 | 7 | 2007 |
| Bayesian hyper-LASSO classification for feature selection with application to endometrial cancer RNA-seq data L Jiang, CMT Greenwood, W Yao, L Li Scientific reports 10 (1), 9747, 2020 | 18 | 2020 |
| 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 | 8 | 2012 |
| Bias-corrected Hierarchical Bayesian Classification with a Subset of Selected Features L Li | | 2013 |
| Calculating the Confidence Intervals Using Bootstrap L Li Presentation Notes, University of Toronto, 2004 | 3 | 2004 |
| Compressing parameters in Bayesian high-order models with application to logistic sequence models L Li, RM Neal | 10 | 2008 |
Cindy FengDepartment of Community Health and Epidemiology, Dalhousie UniversityVerified email at dal.ca
