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06/08/2022
A Regression Tree Method for Longitudinal and Clustered Data with Multivariate Responses
RE-EM tree is a tree-based method that combines the regression tree and ...
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03/01/2021
Dynamic estimation with random forests for discrete-time survival data
Time-varying covariates are often available in survival studies and esti...
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09/21/2020
Selection of Regression Models under Linear Restrictions for Fixed and Random Designs
Many important modeling tasks in linear regression, including variable s...
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09/12/2020
Hot Racquet or Not? An Exploration of Momentum in Grand Slam Tennis Matches
The presence of momentum in sports, where the outcome of a previous even...
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05/31/2020
Ensemble Methods for Survival Data with Time-Varying Covariates
We propose two new survival forests for survival data with time-varying ...
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11/22/2019
On the use of information criteria for subset selection in least squares regression
Least squares (LS) based subset selection methods are popular in linear ...
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01/14/2019
An Ensemble Method for Interval-Censored Time-to-Event Data
Interval-censored data analysis is important in biomedical statistics fo...
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12/05/2018
Joint latent class trees: A Tree-Based Approach to Joint Modeling of Time-to-event and Longitudinal Data
Joint modeling of longitudinal and time-to-event data provides insights ...
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03/18/2014
On the Sensitivity of the Lasso to the Number of Predictor Variables
The Lasso is a computationally efficient regression regularization proce...
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02/08/2013
