Recent advances in Monte Carlo methods allow us to revisit work by de Finetti who suggested the use of approximate exchangeability in the analyses of contingency tables. This paper...
Abstract The cut function defined by the OpenBUGS software is described as a “valve” that prevents feedback in Bayesian graphical models. It is shown that the MCMC algorithm a...
We propose a procedure for testing the linearity of a scalar-on-function regression relationship. To do so, we use the functional generalized additive model (FGAM), a recently dev...
For a general class of hidden Markov models that may include time-varying covariates, we illustrate how to compute the observed information matrix, which may be used to obtain sta...
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...