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Longhai Li
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Cited by
Year
A new regression model: modal linear regression
W Yao, L Li
Scandinavian Journal of Statistics 41 (3), 656-671, 2014
1082014
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
352016
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), 1-14, 2018
292018
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
28*2020
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
182018
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
152008
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
132019
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
122012
Deep learning for brain disorder diagnosis based on fMRI images
W Yin, L Li, FX Wu
Neurocomputing 469, 332-345, 2022
112022
Predictive analysis methods for human microbiome data with application to Parkinson’s disease
M Dong, L Li, M Chen, A Kusalik, W Xu
PLoS One 15 (8), e0237779, 2020
112020
Compressing parameters in Bayesian high-order models with application to logistic sequence models
L Li, RM Neal
Bayesian Analysis 3 (4), 793-821, 2008
92008
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), 1-16, 2020
82020
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
82017
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
72014
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
72012
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
62016
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
62012
Bayesian Classification and Regression with High Dimensional Features
L Li
arXiv preprint arXiv:0709.2936, 2007
62007
Calculating the Confidence Intervals Using Bootstrap
L Li
Presentation Notes, University of Toronto, 2004
42004
Randomized Predictive P-values: A Versatile Model Diagnostic Tool with Unified Reference Distribution
C Feng, A Sadeghpour, L Li
arXiv preprint arXiv:1708.08527, 2017, 2017
22017
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Articles 1–20