Expectation propagation for continuous time stochastic processes
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Publication:2960244
DOI10.1088/1751-8113/49/49/494002zbMath1360.60150arXiv1512.06098OpenAlexW3105666697MaRDI QIDQ2960244
David Schnoerr, Botond Cseke, Guido Sanguinetti, Manfred Opper
Publication date: 8 February 2017
Published in: Journal of Physics A: Mathematical and Theoretical (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1512.06098
diffusion processesMarkov jump processesvariational approximate inferenceexpectation propagation algorithm
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Cites Work
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- Delayed acceptance particle MCMC for exact inference in stochastic kinetic models
- Estimating parameters in stochastic systems: A variational Bayesian approach
- Stochastic models, estimation, and control. Vol. 2,3
- Continuous-time and continuous-discrete-time unscented Rauch-Tung-Striebel smoothers
- Unbiased Bayesian inference for population Markov jump processes via random truncations
- Partial differential equations for the conditional distribution of a Markov process given noisy observations
- A variational approach to path estimation and parameter inference of hidden diffusion processes
- Exact and Computationally Efficient Likelihood-Based Estimation for Discretely Observed Diffusion Processes (with Discussion)
- Propagation of Probabilities, Means, and Variances in Mixed Graphical Association Models
- A new method for the nonlinear transformation of means and covariances in filters and estimators
- Nonlinear Smoothing Theory
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