Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations.
Jonas BeckNathanael BoschMichael DeistlerKyra L. KadhimJakob H. MackePhilipp HennigPhilipp BerensPublished in: CoRR (2024)
Keyphrases
- parameter estimation
- markov chain monte carlo
- ordinary differential equations
- bayesian inference
- probabilistic model
- differential equations
- maximum likelihood
- posterior distribution
- least squares
- expectation maximization
- em algorithm
- model selection
- approximate inference
- restricted boltzmann machine
- dynamic systems
- mathematical models
- generative model
- markov random field
- gene regulatory networks
- hyperparameters
- bayesian networks
- structure learning
- posterior probability
- graphical models
- latent variables
- parameter learning