Bayesian statistical inference offers a principled and comprehensive approach for relating
psychological models to data. This article presents Bayesian analyses of three influential …

Multilevel and Longitudinal Modeling Using Stata, Second Edition discusses regression
modeling of clustered or hierarchical data, such as data on students nested in schools …

Background Random forests are becoming increasingly popular in many scientific fields
because they can cope with" small n large p" problems, complex interactions and even …

The Concise Encyclopedia of Statistics presents the essential information about statistical
tests, concepts, and analytical methods in language that is accessible to practitioners and …

With contributions from some of the most prominent researchers in the field, this carefully
edited collection provides a clear, comprehensive, and unified overview of recent …

Although short-term plasticity is believed to play a fundamental role in cortical computation,
empirical evidence bearing on its role during behavior is scarce. Here we looked for the …

This chapter launches a more detailed examination of statistical learning within a regression
framework. Once again, the focus is on conditional distributions. How does the conditional …

Drawing from the authors' own work and from the most recent developments in the field,
Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity …

The word 'multiscale'can mean many things. However, in this book we are generally
concerned with the representation of objects at a set of scales and then manipulating these …

We derive rates of contraction of posterior distributions on nonparametric or semiparametric
models based on Gaussian processes. The rate of contraction is shown to depend on the …