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. 2101.03079
  4. Cited By
Spatiotemporal blocking of the bouncy particle sampler for efficient
  inference in state space models
v1v2 (latest)

Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state space models

8 January 2021
Jacob Vorstrup Goldman
Sumeetpal S. Singh
ArXiv (abs)PDFHTML

Papers citing "Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state space models"

3 / 3 papers shown
Title
Iterated Block Particle Filter for High-dimensional Parameter Learning:
  Beating the Curse of Dimensionality
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
Ning Ning
E. Ionides
61
13
0
20 Oct 2021
Divide-and-Conquer Bayesian Inference in Hidden Markov Models
Divide-and-Conquer Bayesian Inference in Hidden Markov Models
Chunlei Wang
Sanvesh Srivastava
61
9
0
30 May 2021
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain
  Monte Carlo
Cores for Piecewise-Deterministic Markov Processes used in Markov Chain Monte Carlo
P. Holderrieth
93
10
0
20 Oct 2019
1