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Jeffrey S. Rosenthal

  1. Examples of Adaptive MCMC
    2009/01/01 by Gareth O. Roberts, Jeffrey S. Rosenthal · 26 citations
    Biochemistry, Genetics and Molecular Biology · Chemistry · Mathematics · #Markov Chains and Monte Carlo Methods #Mass Spectrometry Techniques and Applications #Protein Structure and Dynamics
  2. Optimal scaling for various Metropolis-Hastings algorithms
    2001/11/01 by Gareth O. Roberts, Jeffrey S. Rosenthal · 10 citations
  3. Adaptive Gibbs samplers and related MCMC methods
    2013/01/25 by Krzysztof Łatuszyński, Gareth O. Roberts, Jeffrey S. Rosenthal · 1 voice · 2 citations
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Machine Learning and Algorithms #Bayesian Methods and Mixture Models
  4. Predicting University Students’ Academic Success and Major Using Random Forests
    2019/01/25 by Cédric Beaulac, Jeffrey S. Rosenthal · 2 citations
    Computer Science · Decision Sciences · #Educational Technology and Assessment #Online Learning and Analytics #Psychometric Methodologies and Testing
  5. Complexity Results for MCMC derived from Quantitative Bounds
    2017/08/02 by Jun Yang, Yang, Jun, Jeffrey S. Rosenthal +1 · 2 citations
    Mathematics · #Markov Chains and Monte Carlo Methods #Stochastic processes and statistical mechanics #Statistical Methods and Inference
  6. Simple Confidence Intervals for MCMC Without CLTs
    2018/12/01 by Jeffrey S. Rosenthal, Rosenthal, Jeffrey S. · 1 citation
    Mathematics · Physics and Astronomy · Computer Science · #Markov Chains and Monte Carlo Methods #Theoretical and Computational Physics #Machine Learning and Algorithms
  7. Optimization via Rejection-Free Partial Neighbor Search
    2022/04/15 by Sigeng Chen, Chen, Sigeng, Jeffrey S. Rosenthal +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #DNA and Biological Computing #Data Management and Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Genome Rearrangement Algorithms #Methodology (stat.ME) #Optimization and Control (math.OC)
  8. Quantifying the Speed-Up from Non-Reversibility in MCMC Tempering Algorithms
    2025/01/27 by Gareth O. Roberts, Jeffrey S. Rosenthal, Roberts, Gareth O. +1 · 2 citations
    Computer Science · Engineering · #Parallel Computing and Optimization Techniques #Advanced Memory and Neural Computing #Cellular Automata and Applications
  9. Sampling via Rejection-Free Partial Neighbor Search
    2022/10/19 by Sigeng Chen, Jeffrey S. Rosenthal, Chen, Sigeng +7 · 1 citation
    Mathematics · Computer Science · Chemistry · #Markov Chains and Monte Carlo Methods #Machine Learning and Algorithms #Mass Spectrometry Techniques and Applications
  10. Exploring the generalizability of the optimal 0.234 acceptance rate in random-walk Metropolis and parallel tempering algorithms
    2024/08/13 by Aidan Li, Li, Aidan, Liyan Wang +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Computation (stat.CO) #DNA and Biological Computing #FOS: Computer and information sciences #Graph Theory and Algorithms #Theoretical and Computational Physics