Applied Bayesian Statistics

Applied Bayesian Statistics provides a broad, but in-depth introduction to Bayesian statistics, both in terms of its basic theoretical underpinnings and its contemporary methods of application. The book is highly applied—more of a "how to" guide—with statistical theory limited to what is needed to understand the basic ideas. The focus is on common models used by social scientists, and extensions to them that the Bayesian approach facilitates. The author uses publicly-accessible and user-friendly datasets for the examples, such as the General Social Survey data.

Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated their implementation coincided with major changes in the research interests of, and data availability for, social scientists. Specifically, the last two decades have seen an increase in the availability of panel data sets, other hierarchically structured data sets including spatially organized data, along with interests in life course processes and the influence of context on individual behavior and outcomes. The Bayesian approach to statistics is well-suited for these types of data and research questions. Applied Bayesian Statistics is an introduction to these methods that is geared toward social scientists. Author Scott M. Lynch makes the material accessible by emphasizing application more than theory, explaining the math in a step-by-step fashion, and demonstrating the Bayesian approach in analyses of U.S. political trends drawing on data from the General Social Survey.

Get Applied Bayesian Statistics by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by SAGE Publications Inc and it has pages.