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Francis K C Hui

Showing results (1-10 of 22) with videos related to

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Ecology|May 13, 2011
The arcsine is asinine: the analysis of proportions in ecologyDavid I Warton, Francis K C Hui
Plos One|April 16, 2025
Inferential procedures for random effects in generalized linear mixed modelsXu Ning, Francis K C Hui, Alan Welsh
Biometrics|May 12, 2018
Order selection and sparsity in latent variable models via the ordered factor LASSOFrancis K C Hui, Emi Tanaka, David I Warton
Biometrics|February 16, 2024
Homogeneity pursuit and variable selection in regression models for multivariate abundance dataFrancis K C Hui, Luca Maestrini, Alan H Welsh
Biometrics|July 24, 2025
Adjusted predictions for generalized estimating equationsFrancis K C Hui, Samuel Muller, Alan H Welsh
Biometrics|December 19, 2020
Assuming independence in spatial latent variable models: Consequences and implications of misspecificationFrancis K C Hui, Nicole A Hill, A H Welsh
Journal of Machine Learning Research : JMLR|April 27, 2023
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arraysŁukasz Kidziński, Francis K C Hui, David I Warton, et al.
Iscience|August 14, 2023
The use of generalized linear mixed models to investigate postmortem lipids in textilesSharni Collins, Luca Maestrini, Francis K C Hui, et al.
Biometrics|February 22, 2022
Screening methods for linear errors-in-variables models in high dimensionsLinh H Nghiem, Francis K C Hui, Samuel Müller, et al.
Ecology|November 28, 2013
To mix or not to mix: comparing the predictive performance of mixture models vs. separate species distribution modelsFrancis K C Hui, David I Warton, Scott D Foster, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Ecology|May 13, 2011
The arcsine is asinine: the analysis of proportions in ecologyDavid I Warton, Francis K C Hui
Plos One|April 16, 2025
Inferential procedures for random effects in generalized linear mixed modelsXu Ning, Francis K C Hui, Alan Welsh
Biometrics|May 12, 2018
Order selection and sparsity in latent variable models via the ordered factor LASSOFrancis K C Hui, Emi Tanaka, David I Warton
Biometrics|February 16, 2024
Homogeneity pursuit and variable selection in regression models for multivariate abundance dataFrancis K C Hui, Luca Maestrini, Alan H Welsh
Biometrics|July 24, 2025
Adjusted predictions for generalized estimating equationsFrancis K C Hui, Samuel Muller, Alan H Welsh
Biometrics|December 19, 2020
Assuming independence in spatial latent variable models: Consequences and implications of misspecificationFrancis K C Hui, Nicole A Hill, A H Welsh
Journal of Machine Learning Research : JMLR|April 27, 2023
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arraysŁukasz Kidziński, Francis K C Hui, David I Warton, et al.
Iscience|August 14, 2023
The use of generalized linear mixed models to investigate postmortem lipids in textilesSharni Collins, Luca Maestrini, Francis K C Hui, et al.
Biometrics|February 22, 2022
Screening methods for linear errors-in-variables models in high dimensionsLinh H Nghiem, Francis K C Hui, Samuel Müller, et al.
Ecology|November 28, 2013
To mix or not to mix: comparing the predictive performance of mixture models vs. separate species distribution modelsFrancis K C Hui, David I Warton, Scott D Foster, et al.
Pageof 3