Richard A. Chechile

Richard A. Chechile is Professor of Psychology and Cognitive and Brain Science at Tufts University. He is the author of Analyzing Memory: The Formation, Retention, and Measurement of Memory (MIT Press).

  • Bayesian Statistics for Experimental Scientists

    Bayesian Statistics for Experimental Scientists

    A General Introduction Using Distribution-Free Methods

    Richard A. Chechile

    An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis.

    This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical statistics.

    The book first covers elementary probability theory, the binomial model, the multinomial model, and methods for comparing different experimental conditions or groups. It then turns its focus to distribution-free statistics that are based on having ranked data, examining data from experimental studies and rank-based correlative methods. Each chapter includes exercises that help readers achieve a more complete understanding of the material.

    The book devotes considerable attention not only to the linkage of statistics to practices in experimental science but also to the theoretical foundations of statistics. Frequentist statistical practices often violate their own theoretical premises. The beauty of Bayesian statistics, readers will learn, is that it is an internally coherent system of scientific inference that can be proved from probability theory.

    • Hardcover $65.00
  • Analyzing Memory

    Analyzing Memory

    The Formation, Retention, and Measurement of Memory

    Richard A. Chechile

    An accessible synthesis of memory research that discusses the creation of memory representations, the processes of storage and retrieval, and the effectiveness of encoding information.

    The field of memory research is subdivided into many separate and non-overlapping topic areas that often employ specialized tools and models. This book offers an accessible synthesis of memory research that explores how memory works, how it is organized, and how it changes dynamically. Written by an expert in the field, it can be used by undergraduate and graduate students of psychology and as a reference by researchers who want to fill in gaps in their knowledge. The book focuses on three general topics that cover a vast amount of research in the field: how a memory representation is created, how the cognitive processes of storage and retrieval can be studied and measured, and the process of encoding information and its varying degrees of effectiveness.

    Specific subjects addressed include habituation and sensitization, and the neurobiological changes that underlie them; evidence for a cognitive component underlying Pavlovian conditioning; biological constraints on a cognitive model of memory; an information-processing framework for memory; misconceptions about memory, including the static memory myth and the permanent memory myth; model-based measurement of storage and retrieval processes; a critique of the concept of memory strength; the distinction between implicit and explicit memory; and learning and repetition. Although the writing is accessible to the nonspecialist, the density of information is high. The text avoids jargon, and a glossary defines key terms. The notes expand on technical details and point to interesting related ideas.

    • Hardcover $65.00