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About Introduction To Bayesian Inference: M. Botje NIKHEF, PO Box 41882, 1009DB Amsterdam, The Netherlands June 21, 2006
This document provides an introduction to Bayesian inference. It discusses key Bayesian concepts such as: - Defining probability as the plausibility of a proposition given available information, rather than as a frequency. - Using probability to quantitatively encode one's state of knowledge about variables. - Assigning probabilities to hypotheses, which allows Bayesian inference of conclusions from data and prior information. - Differences between Bayesian and frequentist approaches to statistics and probability. - Basic probability distributions and concepts used in Bayesian analysis like means, variances, and transformations.
Detailed Information
| Author: | ['Anonymous ABDuLeo'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 68 |
| Language: | English |
| Format: | |
| Price: | FREE |
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