156 citations · 301 across the 5 of their papers we have counts for
5 papers
A general model-checking procedure for semiparametric accelerated failure time models
Dongrak Choi, Woojung Bae, Jun Yan +1
We propose a set of goodness-of-fit tests for the semiparametric accelerated failure time (AFT) model, including an omnibus test, a link function test, and a functional form test.…
Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
Jackson P. Lautier, Vladimir Pozdnyakov, Jun Yan
Proper econometric analysis should be informed by data structure. Many forms of financial data are recorded in discrete-time and relate to products of a finite term. If the data co…
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…