Bayesian nonparametric (BNP) models are becoming increasingly important in psychology,
both as theoretical models of cognition and as analytic tools. However, existing tutorials tend …

Control charts are one of the principal tools to monitor dynamic processes with the aim of
rapid identification of changes in the behaviour of these processes. Such changes are …

Standard regression approaches assume that some finite number of the response
distribution characteristics, such as location and scale, change as a (parametric or …

Small area estimation is a research area in official and survey statistics of great practical
relevance for national statistical institutes and related organizations. Despite rapid …

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R,
SAS, and BUGS provides the reader with a practical introduction into the analysis of interval …

While statistical analysis of a single network has received a lot of attention in recent years,
with a focus on social networks, analysis of a sample of networks presents its own …

We develop a new nonparametric method to reconstruct the equation of state (EoS) of a
neutron star with multimessenger data. As a universal function approximator, the feed …

ABSTRACT A comprehensive, unified approach to modeling arbitrarily censored spatial
survival data is presented for the three most commonly used semiparametric models …

Bayesian analysis has been increasingly applied in many acoustical applications. In these
applications, prediction models are often involved to better understand the process under …

Spurred on by recent successes in causal inference competitions, Bayesian nonparametric
(and high‐dimensional) methods have recently seen increased attention in the causal …