Data Modeling for the Sciences: Applications, Basics, Computations free ebook download.

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Data Modeling for the Sciences: Applications, Basics, Computations free ebook download

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Physics

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Author(s):	Steve Presse

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	1009098500
Pages:	346	OCR:		Quality:		ISBN13:
Uploader:	stirkout	Upload Date:	9/3/2023 7:52:31 AM

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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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3199635	Book	https://nitroflare.com/view/2A3B7A5630FC...		0.00	stirkout

Tags: Applications Basics Computations Data Modeling Sciences

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