17 citations · 38 across the 7 of their papers we have counts for
7 papers
Using Conformal Win Probability to Predict the Winners of the Cancelled 2020 NCAA Basketball Tournaments
Chancellor Johnstone, Dan Nettleton
The COVID-19 pandemic was responsible for the cancellation of both the men's and women's 2020 National Collegiate Athletic Association (NCAA) Division 1 basketball tournaments. Sta…
Conformal Prediction Intervals for Neural Networks Using Cross Validation
Saeed Khaki, Dan Nettleton
Neural networks are among the most powerful nonlinear models used to address supervised learning problems. Similar to most machine learning algorithms, neural networks produce poin…
Adjusting for Spatial Effects in Genomic Prediction
Xiaojun Mao, Somak Dutta, Raymond K. W. Wong +1
This paper investigates the problem of adjusting for spatial effects in genomic prediction. Despite being seldomly considered in genomic prediction, spatial effects often affect ph…
Regression-Enhanced Random Forests
Haozhe Zhang, Dan Nettleton, Zhengyuan Zhu
Random forest (RF) methodology is one of the most popular machine learning techniques for prediction problems. In this article, we discuss some cases where random forests may suffe…
Sparse Model Identification and Learning for Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Li Wang, Dan Nettleton
The additive partially linear model (APLM) combines the flexibility of nonparametric regression with the parsimony of regression models, and has been widely used as a popular tool…
Variable Importance Assessments and Backward Variable Selection for High-Dimensional Data
Liuhua Peng, Long Qu, Dan Nettleton
Variable selection in high-dimensional scenarios is of great interested in statistics. One application involves identifying differentially expressed genes in genomic analysis. Exis…