Longhai Li
Zitiert von
Zitiert von
A new regression model: modal linear regression
W Yao, L Li
Scandinavian Journal of Statistics 41 (3), 656-671, 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
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
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
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
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
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
Compressing parameters in Bayesian high-order models with application to logistic sequence models
L Li, RM Neal
Bayesian Analysis 3 (4), 793-821, 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
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
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
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
Bayesian Classification and Regression with High Dimensional Features
L Li
arXiv preprint arXiv:0709.2936, 2007
Calculating the Confidence Intervals Using Bootstrap
L Li
Presentation Notes, University of Toronto, 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
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
Deep learning for brain disorder diagnosis based on fMRI images
W Yin, L Li, FX Wu
Neurocomputing, 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
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
Acknowledgement of priority
W Yao, L Li
Scandinavian Journal of Statistics 4 (41), 1195-1195, 2014
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