Record Details

Title:
Practical Bayesian inference : [electronic resource] a primer for physical scientists / Coryn A. L. Bailer-Jones
Author(s):
Uniform title:
Imprint:
Cambridge : Cambridge University Press, 2017.
Description:
1 online resource (ix, 295 pages) : digital, PDF file(s).
ISBN:
9781108123891 (ebook)
Subject(s):
Contents
Probability basics
Estimation and uncertainty
Statistical models and inference
Linear models, least squares, and maximum likelihood
Parameter estimation: single parameter
Parameter estimation: multiple parameters
Approximating distributions
Monte Carlo methods for inference
Parameter estimation: Markov Chain Monte Carlo
Frequentist hypothesis testing
Model comparison
Dealing with more complicated problems.
Linked resources:
Caltech Connect
Record appears in:


Holdings
Options Library Call no Location Description Item type Status Due date
Electronic Resource QC20.7.B38 B35 2017eb Electronic Resource c.1 Remote access Online -


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 Record created 2018-01-29, last modified 2018-09-17


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