Chapter: Basic Ideas in Probability

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Home > Probability and Statistics for Computer Science > Basic Ideas in Probability

Probability and Statistics for Computer Science |

Springer International Publishing

Probability and Statistics for Computer Science

Basic Ideas in Probability

Chapter Info

Authors

ARI Id

1665094468672_4805776

Access

Not Available Free

Pages

53-85

DOI

10.1007/978-3-319-64410-3_3

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-64410-3_3

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xxiv
Front Matter		1-1
First Tools for Looking at Data	David Forsyth	3-27
Looking at Relationships	David Forsyth	29-50
Front Matter		51-51
Basic Ideas in Probability	David Forsyth	53-85
Random Variables and Expectations	David Forsyth	87-114
Useful Probability Distributions	David Forsyth	115-137
Front Matter		139-139
Samples and Populations	David Forsyth	141-157
The Significance of Evidence	David Forsyth	159-177
Experiments	David Forsyth	179-196
Inferring Probability Models from Data	David Forsyth	197-222
Front Matter		223-223
Extracting Important Relationships in High Dimensions	David Forsyth	225-252
Learning to Classify	David Forsyth	253-279
Clustering: Models of High Dimensional Data	David Forsyth	281-304
Regression	David Forsyth	305-330
Markov Chains and Hidden Markov Models	David Forsyth	331-351
Front Matter		353-353
Chapters/Headings	Author(s)	Pages	Info

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