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. 2004.14330
  4. Cited By
On the convergence complexity of Gibbs samplers for a family of simple
  Bayesian random effects models
v1v2 (latest)

On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models

Methodology and Computing in Applied Probability (MCAP), 2020
29 April 2020
Bryant Davis
J. Hobert
ArXiv (abs)PDFHTML

Papers citing "On the convergence complexity of Gibbs samplers for a family of simple Bayesian random effects models"

1 / 1 papers shown
Complexity Results for MCMC derived from Quantitative Bounds
Complexity Results for MCMC derived from Quantitative Bounds
Jun Yang
Jeffrey S. Rosenthal
555
29
0
02 Aug 2017
1
Page 1 of 1