Surface temperature monitoring in liver procurement via functional variance change-point analysis
From MaRDI portal
Publication:2179949
DOI10.1214/19-AOAS1297zbMath1439.62219OpenAlexW3016662262MaRDI QIDQ2179949
John Robertson, Zhenguo Gao, Pang Du, Ran Jin
Publication date: 13 May 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.aoas/1587002668
Nonparametric hypothesis testing (62G10) Functional data analysis (62R10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to physics (62P35)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Local case-control sampling: efficient subsampling in imbalanced data sets
- Faster least squares approximation
- Generalized likelihood ratio statistics and Wilks phenomenon
- Surface temperature monitoring in liver procurement via functional variance change-point analysis
- Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
- A fast randomized algorithm for overdetermined linear least-squares regression
- Divide and Recombine Approaches for Fitting Smoothing Spline Models with Large Datasets
- Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
- Detecting Changes in the Mean of Functional Observations
- Computational Limits of A Distributed Algorithm For Smoothing Spline
- Smoothing Spline Gaussian Regression: More Scalable Computation via Efficient Approximation
- Optimal Subsampling for Large Sample Logistic Regression
- Information-Based Optimal Subdata Selection for Big Data Linear Regression
- Variance Change Point Detection Under a Smoothly-Changing Mean Trend with Application to Liver Procurement
This page was built for publication: Surface temperature monitoring in liver procurement via functional variance change-point analysis
