This book provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It attempts to establish

This book is a printed edition of the Special Issue "Symmetry Measures on Complex Networks" that was published in Symmetry

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-l

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

Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the prob