In the field of cognitive psychology, the p-value hypothesis test has established a
stranglehold on statistical reporting. This is unfortunate, as the p-value provides at best a …

This chapter reviews the recent developments in Markov chain Monte Carlo simulation
methods. These methods, which are concerned with the simulation of high dimensional …

Bayesian inference has become a standard method of analysis in many fields of science.
Students and researchers in experimental psychology and cognitive science, however, have …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …

Abstract The recent Planck Legacy 2018 release has confirmed the presence of an
enhanced lensing amplitude in cosmic microwave background power spectra compared …

While there have been few theoretical contributions on the Markov Chain Monte Carlo
(MCMC) methods in the past decade, current understanding and application of MCMC to the …

This paperback edition, a reprint of the 2001 edition, is a graduate-level textbook that
introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical …

Abstract Model selection is a topic of special relevance in molecular phylogenetics that
affects many, if not all, stages of phylogenetic inference. Here we discuss some fundamental …

Bayes factors have been advocated as superior to p-values for assessing statistical
evidence in data. Despite the advantages of Bayes factors and the drawbacks of p-values …

Modelling based on finite mixture distributions is a rapidly develo** area with the range of
applications exploding. Finite mixture models are nowadays applied in such diverse areas …