Data modeling for the sciences : applications, basics, computations /

Bibliographic Details
Main Authors: Pressé, Steve (Author), Sgouralis, Ioannis (Author)
Corporate Author: Cambridge University Press
Format: eBook
Language:English
Published: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2023.
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.