Penalized regression is an attractive framework for variable selection problems. Often, variables possess a grouping structure, and the relevant selection problem is that of selec...
in Atti di convegno P. Bortot, C. Gaetan. A latent process model for temporal extremes SCANDINAVIAN JOURNAL OF STATISTICS, xxx; pp. 16 Articolo in rivista Bacro J-N , Gaetan C.. Es...
Satellite measurements have of late become an important source of information for climate features such as precipitation due to their near-global coverage. In this article, we look...
Avishek Chakraborty, Swarup De, Kenneth P. Bowman,...
A new method for model selection for Gaussian Bayesian networks and Markov networks, with extensions towards ancestral graphs, is constructed to have good mean squared error proper...
Eugen Pircalabelu, Gerda Claeskens, Lourens J. Wal...
Abstract Bayesian inference often poses difficult computational problems. Even when off-the-shelf Markov chain Monte Carlo (MCMC) methods are available to the problem at hand, mix...
Ricardo Bezerra de Andrade e Silva, Alfredo A. Kal...