In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applications of Monte

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpos

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been th

The first part of the book gives a general introduction to key concepts in algebraic statistics, focusing on methods that are helpful in the study of models wit

In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of mini