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04/14/2022
On Measuring Model Complexity in Heteroscedastic Linear Regression
Heteroscedasticity is common in real world applications and is often han...
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06/29/2021
Predictive Model Degrees of Freedom in Linear Regression
Overparametrized interpolating models have drawn increasing attention fr...
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06/27/2021
Sparse Logistic Tensor Decomposition for Binary Data
Tensor data are increasingly available in many application domains. We d...
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05/12/2020
The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis
Fisher's linear discriminant analysis is a classical method for classifi...
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02/20/2019
Cross Validation for Penalized Quantile Regression with a Case-Weight Adjusted Solution Path
Cross validation is widely used for selecting tuning parameters in regul...
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12/19/2018
Bayesian Restricted Likelihood Methods: Conditioning on Insufficient Statistics in Bayesian Regression
Bayesian methods have proven themselves to be successful across a wide r...
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10/21/2015