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09/08/2023
Commentary on Guyll et al. (2023): Misuse of Statistical Method Results in Highly Biased Interpretation of Forensic Evidence
Since the National Academy of Sciences released their report outlining p...
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05/19/2023
Bayesian Safety Surveillance with Adaptive Bias Correction
Post-market safety surveillance is an integral part of mass vaccination ...
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09/23/2022
hdtg: An R package for high-dimensional truncated normal simulation
Simulating from the multivariate truncated normal distribution (MTN) is ...
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07/06/2022
Adjusting for both sequential testing and systematic error in safety surveillance using observational data: Empirical calibration and MaxSPRT
Post-approval safety surveillance of medical products using observationa...
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01/18/2022
Hamiltonian zigzag accelerates large-scale inference for conditional dependencies between complex biological traits
Inferring dependencies between complex biological traits while accountin...
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11/02/2021
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring
COVID-19 has challenged health systems to learn how to learn. This paper...
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05/15/2021
Shrinkage-based random local clocks with scalable inference
Local clock models propose that the rate of molecular evolution is const...
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04/15/2021
Hamiltonian zigzag sampler got more momentum than its Markovian counterpart: Equivalence of two zigzags under a momentum refreshment limit
Zigzag and other piecewise deterministic Markov process samplers have at...
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12/19/2019
Large-scale inference of correlation among mixed-type biological traits with Phylogenetic multivariate probit models
Inferring concerted changes among biological traits along an evolutionar...
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11/06/2019
Regularization of Bayesian shrinkage priors and inference via geometrically / uniformly ergodic Gibbs sampler
Use of continuous shrinkage priors — with a "spike" near zero and heavy-...
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05/29/2019
Gradients do grow on trees: a linear-time O( N )-dimensional gradient for statistical phylogenetics
Calculation of the log-likelihood stands as the computational bottleneck...
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10/29/2018
Prior-preconditioned conjugate gradient method for accelerated Gibbs sampling in "large n & large p" sparse Bayesian regression
In a modern observational study based on healthcare databases, the numbe...
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10/29/2018
Prior-preconditioned conjugate gradient for accelerated Gibbs sampling in "large n & large p" sparse Bayesian logistic regression models
In a modern observational study based on healthcare databases, the numbe...
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01/04/2018