ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1512.04831
  4. Cited By
Coupling stochastic EM and Approximate Bayesian Computation for
  parameter inference in state-space models

Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models

15 December 2015
Umberto Picchini
Adeline M. M. Samson
ArXivPDFHTML

Papers citing "Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models"

3 / 3 papers shown
Title
Probabilistic learning constrained by realizations using a weak
  formulation of Fourier transform of probability measures
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures
Christian Soize
18
5
0
06 May 2022
Likelihood-free approximate Gibbs sampling
Likelihood-free approximate Gibbs sampling
G. S. Rodrigues
David J. Nott
Scott A. Sisson
30
24
0
11 Jun 2019
Spectral Density-Based and Measure-Preserving ABC for partially observed
  diffusion processes. An illustration on Hamiltonian SDEs
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs
E. Buckwar
M. Tamborrino
I. Tubikanec
21
36
0
04 Mar 2019
1