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Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Joint Model for Optimizing Clinical Decisions with Timing
Accurate models of clinical actions and their impacts on disease progres...
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BAGEL: A Bayesian Graphical Model for Inferring Drug Effect Longitudinally on Depression in People with HIV
Access and adherence to antiretroviral therapy (ART) has transformed the...
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A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV
Although combination antiretroviral therapy (ART) is highly effective in...
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Efficient Estimation for Random Dot Product Graphs via a One-step Procedure
We propose a one-step procedure to efficiently estimate the latent posit...
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Optimal Bayesian Estimation for Random Dot Product Graphs
We propose a Bayesian approach, called the posterior spectral embedding,...
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A Bayesian Nonparametric Approach for Evaluating the Effect of Treatment in Randomized Trials with Semi-Competing Risks
We develop a Bayesian nonparametric (BNP) approach to evaluate the effec...
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BAREB: A Bayesian repulsive biclustering model for periodontal data
Preventing periodontal diseases (PD) and maintaining the structure and f...
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ASIED: A Bayesian Adaptive Subgroup-Identification Enrichment Design
Developing targeted therapies based on patients' baseline characteristic...
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Bayesian Estimation of Sparse Spiked Covariance Matrices in High Dimensions
We propose a Bayesian methodology for estimating spiked covariance matri...
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Bayesian Projected Calibration of Computer Models
We develop a Bayesian approach called Bayesian projected calibration to ...
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A Theoretical Framework for Bayesian Nonparametric Regression: Orthonormal Random Series and Rates of Contraction
We develop a unifying framework for Bayesian nonparametric regression to...
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Nonseparable Gaussian Stochastic Process: A Unified View and Computational Strategy
Gaussian stochastic process (GaSP) has been widely used as a prior over ...
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Adaptive Bayesian nonparametric regression using kernel mixture of polynomials with application to partial linear model
We propose a kernel mixture of polynomials prior for Bayesian nonparamet...
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A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves
We study the problem of estimating the continuous response over time to ...
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