Applied Bayesian Statistics

Bayesian statistical analyses have gained popularity due to increased computing power and availability of panel data sets. Applied Bayesian Statistics is an introduction to these methods for social scientists, emphasizing application and explaining math in a step-by-step fashion.

Format: Paperback / softback
Length: 216 pages
Publication date: 21 November 2022
Publisher: SAGE Publications Inc

Over the past two decades, Bayesian statistical analyses have gained widespread popularity. The remarkable surge in computing power, which made their implementation feasible, coincided with significant shifts in the research interests of social scientists and the availability of data. Specifically, the past two decades have witnessed a notable increase in the accessibility of panel data sets, as well as other hierarchically structured data sets encompassing spatially organized information. Additionally, there has been a growing interest in life course processes and the influence of context on individual behavior and outcomes. The Bayesian approach to statistics is highly advantageous for these types of data and research inquiries.

Applied Bayesian Statistics serves as an introductory guide to these methods, specifically tailored for social scientists. Author Scott M. Lynch achieves accessibility by prioritizing practical applications over theoretical explanations, providing a step-by-step breakdown of mathematical concepts, and exemplifying the Bayesian approach through analyses of U.S. political trends utilizing data from the General Social Survey.

Weight: 280g
Dimension: 215 x 139 (mm)
ISBN-13: 9781544334639