ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.06384
  4. Cited By
Optimal scaling of random-walk Metropolis algorithms using Bayesian
  large-sample asymptotics
v1v2v3 (latest)

Optimal scaling of random-walk Metropolis algorithms using Bayesian large-sample asymptotics

Statistics and computing (Stat Comput), 2021
13 April 2021
Sebastian M. Schmon
Philippe Gagnon
ArXiv (abs)PDFHTML

Papers citing "Optimal scaling of random-walk Metropolis algorithms using Bayesian large-sample asymptotics"

6 / 6 papers shown
Accelerating Bayesian inference for stochastic epidemic models using
  incidence data
Accelerating Bayesian inference for stochastic epidemic models using incidence dataStatistics and computing (Stat. Comput.), 2023
Andrew Golightly
L. Wadkin
Sam A. Whitaker
A. Baggaley
N. G. Parker
T. Kypraios
221
9
0
27 Mar 2023
Improving multiple-try Metropolis with local balancing
Improving multiple-try Metropolis with local balancingJournal of machine learning research (JMLR), 2022
Philippe Gagnon
Florian Maire
T. Rigon
324
15
0
21 Nov 2022
Amortised Likelihood-free Inference for Expensive Time-series Simulators
  with Signatured Ratio Estimation
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio EstimationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Joel Dyer
Patrick W Cannon
Sebastian M. Schmon
241
11
0
23 Feb 2022
Black-box Bayesian inference for economic agent-based models
Black-box Bayesian inference for economic agent-based modelsJournal of Economic Dynamics and Control (JEDC), 2022
Joel Dyer
Patrick W Cannon
J. Farmer
Sebastian M. Schmon
324
35
0
01 Feb 2022
Approximate Bayesian Computation with Path Signatures
Approximate Bayesian Computation with Path Signatures
Joel Dyer
Patrick W Cannon
Sebastian M. Schmon
255
18
0
23 Jun 2021
Optimal Scaling of MCMC Beyond Metropolis
Optimal Scaling of MCMC Beyond MetropolisAdvances in Applied Probability (AAP), 2021
Sanket Agrawal
Dootika Vats
K. Łatuszyński
Gareth O. Roberts
313
12
0
05 Apr 2021
1
Page 1 of 1