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Data Modeling for the Sciences : Applications, Basics, Computations

By: Steve Presse Ioannis Sgouralis (Author)

Ksh 10,800.00
Format :

Format(s): DRM EPUB

ISBN-13: 9781009115445

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Publication Date: August 31st, 2023

Country of Publication: GB

Language: English

Physical Edition EAN: 9781009098502

Category: Data analysis: general , Scientific equipment, experiments & techniques , Astronomical observation: observatories, equipment & methods , Applied physics , Data capture & analysis

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  • Author Bio

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.

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