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12/19/2022
Direct covariance matrix estimation with compositional data
Compositional data arise in many areas of research in the natural and bi...
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03/09/2022
Concave likelihood-based regression with finite-support response variables
We propose likelihood-based methods for regression when the response var...
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03/18/2021
Confidence Regions Near Singular Information and Boundary Points With Applications to Mixed Models
We propose confidence regions with asymptotically correct uniform covera...
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01/21/2021
A unified method for multivariate mixed-type response regression
We propose a new method for multivariate response regressions where the ...
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04/29/2020
Joint Likelihood-based Principal Components Regression
We propose a method for estimating principal components regressions by m...
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07/06/2019
Convergence Analysis of a Collapsed Gibbs Sampler for Bayesian Vector Autoregressions
We propose a collapsed Gibbs sampler for Bayesian vector autoregressions...
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10/02/2018
Consistent Maximum Likelihood Estimation Using Subsets with Applications to Multivariate Mixed Models
We present new results for consistency of maximum likelihood estimators ...
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05/01/2018