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02/18/2023
Bayesian Covariance Estimation for Multi-group Matrix-variate Data
Multi-group covariance estimation for matrix-variate data with small wit...
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07/21/2022
A nonstationary spatial covariance model for data on graphs
Spatial data can exhibit dependence structures more complicated than can...
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04/18/2022
Optimal Conformal Prediction for Small Areas
Existing inferential methods for small area data involve a trade-off bet...
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12/14/2021
The multirank likelihood and cyclically monotone Monte Carlo: a semiparametric approach to CCA
Many analyses of multivariate data are focused on evaluating the depende...
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01/13/2021
A Latent Variable Model for Relational Events with Multiple Receivers
Directional relational event data, such as email data, often include mul...
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04/28/2020
Hierarchical Multidimensional Scaling for the Comparison of Musical Performance Styles
Quantification of stylistic differences between musical artists is of ac...
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04/16/2020
Smaller p-values in genomics studies using distilled historical information
Medical research institutions have generated massive amounts of biologic...
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07/29/2019
Smaller p-values via indirect information
This article develops p-values for evaluating means of normal population...
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06/18/2019
Monte Carlo simulation on the Stiefel manifold via polar expansion
Motivated by applications to Bayesian inference for statistical models w...
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02/13/2019
Structured Shrinkage Priors
In many regression settings the unknown coefficients may have some known...
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10/05/2018
Random orthogonal matrices and the Cayley transform
Random orthogonal matrices play an important role in probability and sta...
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07/20/2018
Additive and multiplicative effects network models
Network datasets typically exhibit certain types of statistical dependen...
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12/30/2017
Adaptive Sign Error Control
In multiple testing scenarios, typically the sign of a parameter is infe...
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12/18/2017
Testing Sparsity-Inducing Penalties
It is well understood that many penalized maximum likelihood estimators ...
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12/07/2017