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10/19/2022
Sampling via Rejection-Free Partial Neighbor Search
The Metropolis algorithm involves producing a Markov chain to converge t...
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05/12/2022
Football Group Draw Probabilities and Corrections
This paper considers the challenge of designing football group draw mech...
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04/15/2022
Optimization via Rejection-Free Partial Neighbor Search
Simulated Annealing using Metropolis steps at decreasing temperatures is...
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12/07/2021
Convergence rate bounds for iterative random functions using one-shot coupling
One-shot coupling is a method of bounding the convergence rate between t...
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08/30/2021
Bayesian Inference of Globular Cluster Properties Using Distribution Functions
We present a Bayesian inference approach to estimating the cumulative ma...
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05/12/2021
Dimension-free Mixing for High-dimensional Bayesian Variable Selection
Yang et al. (2016) proved that the symmetric random walk Metropolis–Hast...
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05/02/2021
Sampling by Divergence Minimization
We introduce a family of Markov Chain Monte Carlo (MCMC) methods designe...
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12/04/2020
MCMC Confidence Intervals and Biases
The recent paper "Simple confidence intervals for MCMC without CLTs" by ...
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09/25/2020
Skew Brownian Motion and Complexity of the ALPS Algorithm
Simulated tempering is a popular method of allowing MCMC algorithms to m...
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08/24/2020
The Coupling/Minorization/Drift Approach to Markov Chain Convergence Rates
This review paper provides an introduction of Markov chains and their co...
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01/15/2020
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group
In this manuscript we analyze a data set containing information on child...
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04/27/2019
Optimal Scaling of Metropolis Algorithms on General Target Distributions
The main limitation of the existing optimal scaling results for Metropol...
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12/01/2018
Simple Confidence Intervals for MCMC Without CLTs
This short note argues that 95 be obtained even without establishing a C...
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11/29/2018
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
In the following short article we adapt a new and popular machine learni...
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08/14/2018
Weight-Preserving Simulated Tempering
Simulated tempering is popular method of allowing MCMC algorithms to mov...
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07/03/2018
Bayesian Spatial Analysis of Hardwood Tree Counts in Forests via MCMC
In this paper, we perform Bayesian Inference to analyze spatial tree cou...
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04/26/2018
Handling Missing Values using Decision Trees with Branch-Exclusive Splits
In this article we propose a new decision tree construction algorithm. T...
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02/09/2018
Predicting University Students' Academic Success and Choice of Major using Random Forests
In this paper, a large data set containing every course taken by every u...
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08/02/2017
Complexity Results for MCMC derived from Quantitative Bounds
This paper considers whether MCMC quantitative convergence bounds can be...
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05/06/2016
