156 citations · 362 across the 7 of their papers we have counts for
7 papers
Distribution-free inference for LightGBM and GLM with Tweedie loss
Alokesh Manna, Aditya Vikram Sett, Dipak K. Dey +3
Prediction uncertainty quantification is a key research topic in recent years scientific and business problems. In insurance industries (\cite{parodi2023pricing}), assessing the ra…
Geographically Weighted Cox Regression for Prostate Cancer Survival Data in Louisiana
Yishu Xue, Elizabeth D. Schifano, Guanyu Hu
The Cox proportional hazard model is one of the most popular tools in analyzing time-to-event data in public health studies. When outcomes observed in clinical data from different…
An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Survival Data
Yishu Xue, HaiYing Wang, Jun Yan +1
The Cox model, which remains as the first choice in analyzing time-to-event data even for large datasets, relies on the proportional hazards (PH) assumption. When survival data arr…
Online Updating of Statistical Inference in the Big Data Setting
Elizabeth D. Schifano, Jing Wu, Chun Wang +2
We present statistical methods for big data arising from online analytical processing, where large amounts of data arrive in streams and require fast analysis without storage/acces…
Statistical Methods and Computing for Big Data
Chun Wang, Ming-Hui Chen, Elizabeth Schifano +2
Big data are data on a massive scale in terms of volume, intensity, and complexity that exceed the capacity of standard software tools. They present opportunities as well as challe…
Laplace Approximated EM Microarray Analysis: An Empirical Bayes Approach for Comparative Microarray Experiments
Haim Bar, James Booth, Elizabeth Schifano +1
A two-groups mixed-effects model for the comparison of (normalized) microarray data from two treatment groups is considered. Most competing parametric methods that have appeared in…