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08/01/2023
Informed Bayesian Finite Mixture Models via Asymmetric Dirichlet Priors
Finite mixture models are flexible methods that are commonly used for mo...
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10/29/2022
A comparison of priors for variance parameters in Bayesian basket trials
Phase II basket trials are popular tools to evaluate efficacy of a new t...
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12/22/2020
A spectral adjustment for spatial confounding
Adjusting for an unmeasured confounder is generally an intractable probl...
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02/23/2019
PC priors for residual correlation parameters in one-factor mixed models
Lack of independence in the residuals from linear regression motivates t...
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06/06/2018
Bayesian varying coefficient models using PC priors
Varying coefficient models arise naturally as a flexible extension of a ...
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11/15/2017