Applied Bayesian Statistics
eBook - ePub

Applied Bayesian Statistics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Applied Bayesian Statistics

About this book

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.

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Yes, you can access Applied Bayesian Statistics by Scott M. Lynch in PDF and/or ePUB format, as well as other popular books in Social Sciences & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Acknowledgements
  3. Half Title
  4. Series
  5. Series
  6. Title Page
  7. Copyright Page
  8. CONTENTS
  9. Table List
  10. Illustration List
  11. Contributors
  12. Series
  13. Acknowledgements
  14. CHAPTER 1. INTRODUCTION
  15. CHAPTER 2. PROBABILITY DISTRIBUTIONS AND REVIEW OF CLASSICAL ANALYSIS
  16. CHAPTER 3. THE BAYESIAN APPROACH TO PROBABILITY AND STATISTICS
  17. CHAPTER 4. MARKOV CHAIN MONTE CARLO (MCMC) SAMPLING METHODS
  18. CHAPTER 5 IMPLEMENTING THE BAYESIAN APPROACH IN REALISTIC APPLICATIONS
  19. CHAPTER 6 CONCLUSION
  20. APPENDIX
  21. References
  22. Index