Probabilistic forecasting and Bayesian data assimilation / Sebastian Reich and Colin Cotter.
Material type:
TextPublication details: Cambridge : Cambridge University Press, 2015.Description: x, 297 p. : illustrations ; 26 cmISBN: - 9781107663916 (pbk.)
- 519.2 23 R347
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 519.2 R347 (Browse shelf(Opens below)) | Available | 136873 | |||
| Books | ISI Library, Kolkata | 519.2 R347 (Browse shelf(Opens below)) | Available | 136947 |
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| 519.2 R228 Statistical matching | 519.2 R228 course on large deviations with an introduction to Gibbs measures / | 519.2 R347 Probabilistic forecasting and Bayesian data assimilation / | 519.2 R347 Probabilistic forecasting and Bayesian data assimilation / | 519.2 R351 Theory of probability | 519.2 R351 Theory of probability | 519.2 R351 Theory of probability |
Includes bibliographical references and index.
Preface;
1. Prologue: how to produce forecasts;
Part I. Quantifying Uncertainty:
2. Introduction to probability;
3. Computational statistics;
4. Stochastic processes;
5. Bayesian inference;
Part II. Bayesian Data Assimilation:
6. Basic data assimilation algorithms;
7. McKean approach to data assimilation;
8. Data assimilation for spatio-temporal processes;
9. Dealing with imperfect models;
References;
Index.
This book covers key ideas and concepts. Ideal introduction for graduate students in any field where Bayesian data assimilation is applied.
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