Data Analysis: A Bayesian Tutorial
| 2 Edition
Authors: Sivia, Devinderjit,Skilling, John
ISBN:0198568320
ISBN-13: 9780198568322
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Details about Data Analysis: A Bayesian Tutorial:
Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis. This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design. The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.
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I tutor Accounting and Statistics students, specializing in Financial Accounting and Intro to Statistics. I also teach in group settings at discounted rates. For one-on-one sessions, I offer completely individualized tutoring - according to to my student's strengths and weaknesses. You'll find that I have a unique ability to assess your knowledge gaps and develop ways to close those gaps. I have more than 6 years' experience in bank regulation with the Federal Reserve and FDIC. My experienc ... Read more
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