Steve Presse (Arizona State University), Ioannis Sgouralis (Knoxville University of Tennessee)

Data Modeling for the Sciences

Applications, Basics, Computations

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 346
• Erscheinungstermin: September 2023
• Englisch
• Abmessung: 256mm x 180mm x 26mm
• Gewicht: 998g
• ISBN-13: 9781009098502
• ISBN-10: 1009098500
• Artikelnr.: 67637484

Autorenporträt

Steve Pressé is Professor of Physics and Chemistry at Arizona State University, Tempe. His research lies at the interface of Biophysics and Chemical Physics with an emphasis on inverse methods. He is a recipient of a National Science Foundation CAREER award and a Research Corporation 'Molecules come to Life' Fellow. He has extensive experience in teaching data analysis and modeling at both undergraduate and graduate level with funding from the NIH and NSF in data modelling applied to the interpretation of single molecule dynamics and image analysis.

Inhaltsangabe

Part I. Concepts from Modeling, Inference, and Computing: 1. Probabilistic modeling and inference
2. Dynamical systems and Markov processes
3. Likelihoods and latent variables
4. Bayesian inference
5. Computational inference
Part II. Statistical Models: 6. Regression models
7. Mixture models
8. Hidden Markov models
9. State-space models
10. Continuous time models*
Part III. Appendix: Appendix A: Notation and other conventions
Appendix B: Numerical random variables
Appendix C: The Kronecker and Dirac deltas
Appendix D: Memoryless distributions
Appendix E: Foundational aspects of probabilistic modeling
Appendix F: Derivation of key relations
References
Index.