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02/03/2023
A Simple Approach for Local and Global Variable Importance in Nonlinear Regression Models
The ability to interpret machine learning models has become increasingly...
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03/04/2022
Improved Pathwise Coordinate Descent for Power Penalties
Pathwise coordinate descent algorithms have been used to compute entire ...
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11/30/2021
Log-Gaussian Cox Process Modeling of Large Spatial Lightning Data using Spectral and Laplace Approximations
Lightning is a destructive and highly visible product of severe storms, ...
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11/09/2020
Likelihood Inference for Possibly Non-Stationary Processes via Adaptive Overdifferencing
We make a simple observation that facilitates valid likelihood-based inf...
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07/18/2020
Modeling Nonlinear Growth Followed by Long-Memory Equilibrium with Unknown Change Point
Measurements of many biological processes are characterized by an initia...
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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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12/18/2017