'Probabilistic Graphical Models' discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data.
"An Introduction to Survival Analysis Using Stata, Third Edition provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves as not only as a tutorial for learning survival analysis but also as a valuab…
"An Introduction to Survival Analysis Using Stata, Third Edition provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves as not only as a tutorial for learning survival analysis but also as a valuab…
"Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solvin…
"Methods in Behavioral Research" has achieved its market-leading position with its concise and strategic approach to methodological decision making. Combining helpful pedagogy and rich examples, Cozby's tenth edition again incorporates learning objectives, illustrative graphics,…
As the size of data sets grows ever larger, the need for valid statistical tools is greater than ever. This book introduces super learning and the targeted maximum likelihood estimator, and discusses complex data structures and related applied topics.
In this book the author explores probability rules and the root of those rules in natural human behavior. The author discusses James Clerk Maxwell and Darwin's theory of natural selection to suggest probability is ingrained in the human physical intuition without our conscious a…
