Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R...

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, and interpreting and communicating...

This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the score function, the likelihood ratio and...

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications.Readers are empowered to participate in the real-life data analysis situations depicted here from the ...

A comprehensive, up-to-date textbook on nonparametric methods for students and researchersUntil now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal articles to keep pace with these emerging methods of economic analysis. Nonparametric Econometrics fills a major gap by gathering together the most up-to-date theory and techniques and presenting them in a remarkably straightforwar...

This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications.The book is divided into two sections, although several chapters cross these content boundaries. ...

The true story of the most controversial psychological research of the modern era.In the summer of 1961, a group of men and women volunteered for a memory experiment to be conducted by young, dynamic psychologist Stanley Milgram. None could have imagined that, once seated in the lab, they would be placed in front of a box known as a shock machine and asked to administer a series of electric shocks to a man they’d just met. And no one could have foreseen how the repercussio...

Key FeaturesBook DescriptionBayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian methods to real-world problems requires high computational ...

The primary object of this book is to assist in bringing Psychology within the domain of the exact sciences. It has long been felt by the ablest thinkers of our time that all psychic manifestations of the human intellect, normal or abnormal, whether designated by the name of mesmerism, hypnotism, somnambulism, trance, spiritism, demonology, miracle, mental therapeutics, genius, or insanity, are in some way related ; and consequently, that they are to be referred to some general principle o...

The past 30 years have seen the field of clinical neuropsychology grow to become an influential discipline within mainstream clinical psychology and an established component of most professional courses. It remains one of the fastest growing specialities within mainstream clinical psychology, neurology, and the psychiatric disciplines. Substantially updated to take account of these rapid developments, the new edition of this successful handbook provides a practical guide for those interest...

Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments.Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms fo...

Although homosexuality is becoming less stigmatized in American culture, gays and lesbians still face strong social, familial, financial, or career pressures to "convert" to being heterosexuals. In this groundbreaking book, longtime psychiatrist Martin Kantor, MD—himself homosexual and once immersed in therapy to become "straight"—explains why so-called "reparative therapy" is not only ineffective, but should not be practiced due its faulty theoretical bases and the deeper, lasting damage ...