How Long to Read Frontiers of Statistical Decision Making and Bayesian Analysis

By Ming-Hui Chen

How Long Does it Take to Read Frontiers of Statistical Decision Making and Bayesian Analysis?

It takes the average reader 10 hours and 33 minutes to read Frontiers of Statistical Decision Making and Bayesian Analysis by Ming-Hui Chen

Assuming a reading speed of 250 words per minute. Learn more

Description

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.

How long is Frontiers of Statistical Decision Making and Bayesian Analysis?

Frontiers of Statistical Decision Making and Bayesian Analysis by Ming-Hui Chen is 631 pages long, and a total of 158,381 words.

This makes it 213% the length of the average book. It also has 194% more words than the average book.

How Long Does it Take to Read Frontiers of Statistical Decision Making and Bayesian Analysis Aloud?

The average oral reading speed is 183 words per minute. This means it takes 14 hours and 25 minutes to read Frontiers of Statistical Decision Making and Bayesian Analysis aloud.

What Reading Level is Frontiers of Statistical Decision Making and Bayesian Analysis?

Frontiers of Statistical Decision Making and Bayesian Analysis is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Frontiers of Statistical Decision Making and Bayesian Analysis?

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