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Data Modeling for the Sciences : Applications, Basics, Computations

Pressé, Steve; Sgouralis, Ioannis

Published by Cambridge University Press, 2023

ISBN 10: 1009098500 ISBN 13: 9781009098502

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Data Modeling for the Sciences

Ioannis Sgouralis

Published by Cambridge University Press, 2023

ISBN 10: 1009098500 ISBN 13: 9781009098502

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # DB-9781009098502

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Data Modeling for the Sciences

Ioannis Sgouralis

Published by Cambridge University Press, 2023

ISBN 10: 1009098500 ISBN 13: 9781009098502

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Data Modeling for the Sciences : Applications, Basics, Computations

Pressé, Steve; Sgouralis, Ioannis

Published by Cambridge University Press, 2023

ISBN 10: 1009098500 ISBN 13: 9781009098502

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Seller: GreatBookPrices, Columbia, MD, U.S.A.

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Data Modeling for the Sciences (Hardcover)

Ioannis Sgouralis

Published by Cambridge University Press, Cambridge, 2023

ISBN 10: 1009098500 ISBN 13: 9781009098502

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Hardcover. Condition: new. Hardcover. With the increasing prevalence of big data and sparse data, and rapidly growing data-centric approaches to scientific research, students must develop effective data analysis skills at an early stage of their academic careers. This detailed guide to data modeling in the sciences is ideal for students and researchers keen to develop their understanding of probabilistic data modeling beyond the basics of p-values and fitting residuals. The textbook begins with basic probabilistic concepts, models of dynamical systems and likelihoods are then presented to build the foundation for Bayesian inference, Monte Carlo samplers and filtering. Modeling paradigms are then seamlessly developed, including mixture models, regression models, hidden Markov models, state-space models and Kalman filtering, continuous time processes and uniformization. The text is self-contained and includes practical examples and numerous exercises. This would be an excellent resource for courses on data analysis within the natural sciences, or as a reference text for self-study. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009098502

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