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06/20/2023
Accelerating Generalized Random Forests with Fixed-Point Trees
Generalized random forests arXiv:1610.01271 build upon the well-establis...
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04/25/2023
The impact of directly observed therapy on the efficacy of Tuberculosis treatment: A Bayesian multilevel approach
We propose and discuss a Bayesian procedure to estimate the average trea...
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03/27/2023
Bayesian inference for optimal dynamic treatment regimes in practice
In this work, we examine recently developed methods for Bayesian inferen...
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03/15/2023
A Bayesian Non-Stationary Heteroskedastic Time Series Model for Multivariate Critical Care Data
We propose a multivariate GARCH model for non-stationary health time ser...
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01/09/2023
A time-dependent Poisson-Gamma model for recruitment forecasting in multicenter studies
Forecasting recruitments is a key component of the monitoring phase of m...
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04/21/2022
The θ-augmented model for Bayesian semiparametric inference on functional parameters
Semiparametric Bayesian inference has so far relied on models for the ob...
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03/13/2022
On Data Augmentation in Point Process Models Based on Thinning
Many models for point process data are defined through a thinning proced...
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01/30/2022
Causal inference under mis-specification: adjustment based on the propensity score
We study Bayesian approaches to causal inference via propensity score re...
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08/02/2021
Bayesian Sample Size Calculations for SMART Studies
In the management of most chronic conditions characterized by the lack o...
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06/20/2021
Bayesian inference for continuous-time hidden Markov models with an unknown number of states
We consider the modeling of data generated by a latent continuous-time M...
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05/25/2021
Estimation of Optimal Dynamic Treatment Regimes via Gaussian Process Emulation: A Technical Report
Causal inference of treatment effects is a challenging undertaking in it...
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03/23/2021
Stochastic Reweighted Gradient Descent
Despite the strong theoretical guarantees that variance-reduced finite-s...
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03/23/2021
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
Reducing the variance of the gradient estimator is known to improve the ...
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03/06/2021
Bayesian Doubly Robust Causal Inference via Loss Functions
Frequentist inference has a well-established supporting theory for doubl...
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06/02/2020
The role of exchangeability in causal inference
The notion of exchangeability has been recognized in the causal inferenc...
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06/24/2019
Bayesian Nonparametric Clustering of Continuous-Time Hidden Markov Models for Health Trajectories
We develop clustering procedures for healthcare trajectories based on a ...
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04/20/2019