This text combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov random fields and hidden Markov models, in a clear, thoughtful and succinct manner. The main distinguishing feature of this work is that, in addition to p
Stochastic Modeling of Scientific Data
โ Scribed by Peter Guttorp (auth.)
- Publisher
- Springer US
- Year
- 1995
- Tongue
- English
- Leaves
- 384
- Series
- Stochastic Modeling Series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Front Matter....Pages i-xii
Introduction....Pages 1-15
Discrete time Markov chains....Pages 16-124
Continuous time Markov chains....Pages 125-188
Markov random fields....Pages 189-226
Point processes....Pages 227-275
Brownian motion and diffusion....Pages 276-317
Back Matter....Pages 318-372
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