Data modeling for the sciences : applications, basics, computations /
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, United Kingdom ; New York, NY :
Cambridge University Press,
2023.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 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.