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stat.ME2023
Broken Adaptive Ridge Method for Variable Selection in Generalized Partly Linear Models with Application to the Coronary Artery Disease Data
Christian Chan, Xiaotian Dai, Thierry Chekouo +2
Motivated by the CATHGEN data, we develop a new statistical learning method for simultaneous variable selection and parameter estimation under the context of generalized partly lin…
stat.AP2023
Bayesian variable selection using an informed reversible jump in imaging genetics: an application to schizophrenia
Djidenou Montcho, Daiane Zuanetti, Thierry Chekouo +1
From a practical perspective, proposals are one of the main bottleneck for any Markov Chain Monte Carlo (MCMC) algorithm. This paper suggests a novel data driven or informed propos…