Data modeling for the sciences : applications, basics, computations / Steve Pressé, Ioannis Sgouralis.
Material type: TextPublisher: Cambridge ; New York, NY : Cambridge University Press, ©2023Description: xii, 415 pages 25 cmContent type:- text
- unmediated
- volume
- 9781009098502 (hardback)
- 001.422
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Books | Junaid Zaidi Library, COMSATS University Islamabad Ground Floor | Books | 001.422 PRE-D 63272 (Browse shelf(Opens below)) | Available | Hardback | 10001000063272 |
Includes bibliographical references and index.
Probabilistic modeling and inference -- Dynamical systems and Markov processes -- Likelihoods and latent variables -- Bayesian inference -- Computational inference -- Regression models -- Mixture models -- Hidden Markov models -- State-space models -- Continuous time models.
"This accessible guide to data modeling introduces basic probabilistic concepts, gradually building toward state-of-the art data modeling and analysis techniques. Aimed at students and researchers in the sciences, the text is self-contained and pedagogical, including practical examples and end of chapter problems"-- Provided by publisher.
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