Cover Image

Modeling Spatially Correlated Failure-time Data Under Two Distance Functions with an Application to Titan GPU Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Clark, Jared M., Min, Jie, Wang, Yueyao, Hong, Yili, Ostrouchov, George
Format:	Preprint
Published:	2025
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Use of Variational Inference for Lifetime Data with Spatial Correlations
by: Wang, Yueyao, et al.
Published: (2025)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)

What Quality Engineers Need to Know about Degradation Models
by: Clark, Jared M., et al.
Published: (2025)

Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
by: Zheng, Simin, et al.
Published: (2025)

A Detailed Historical and Statistical Analysis of the Influence of Hardware Artifacts on SPEC Integer Benchmark Performance
by: Wang, Yueyao, et al.
Published: (2024)

Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
by: Saduakhas, Damilya, et al.
Published: (2025)

Models with Accelerated Failure Conditionals
by: Lakhani, Jared N.
Published: (2025)

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra
by: Walsh, Stephen A., et al.
Published: (2025)

Probabilistic Record Linkage of Two Gun Violence Data Sets
by: Horng, Iris, et al.
Published: (2025)

Performance Evaluation of Large Language Models in Statistical Programming
by: Song, Xinyi, et al.
Published: (2025)

Two Point Correlation Function Estimation with Contaminated Data
by: Farahi, Arya
Published: (2026)

Extending the Accelerated Failure Conditionals Model to Location-Scale Families
by: Lakhani, Jared N.
Published: (2025)

Two-Sample Testing for Multivariate Cross-Correlation Functions with Applications to Gut-Brain Reward Learning
by: Ray, Bhaskar, et al.
Published: (2026)

Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
by: Chen, Liying, et al.
Published: (2026)

Sparse Reduced-rank Regression Methods for Spatially Misaligned Data with Application to Spatial Transcriptomics
by: Wu, Zitian, et al.
Published: (2026)

Two Sample Test for Eigendecompositions of Functional Data
by: de la Garza, Angel Garcia, et al.
Published: (2026)

An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
by: Zhou, Shijie, et al.
Published: (2023)

Penalized Linear Models for Highly Correlated High-Dimensional Immunophenotyping Data
by: Dong, Xiaoru, et al.
Published: (2025)

Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024)

Generalized Heterogeneous Functional Model with Applications to Large-scale Mobile Health Data
by: Sun, Xiaojing, et al.
Published: (2025)

Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data
by: Sikorski, Antony, et al.
Published: (2024)

Spatial Joint Species N-Mixture Models for Multi-Source Observational Data with Application to Wild Deer Population Abundance
by: Hurley, Aoife K., et al.
Published: (2023)

Applied Statistics in the Era of Artificial Intelligence: A Review and Vision
by: Min, Jie, et al.
Published: (2024)

Understanding Electric Vehicle Ownership Using Data Fusion and Spatial Modeling
by: Meiyu, et al.
Published: (2024)

Model Determination for High-Dimensional Longitudinal Data with Missing Observations: An Application to Microfinance Data
by: Rüter, Lotta, et al.
Published: (2024)

Generalized Correlation Regression for Disentangling Dependence in Clustered Data
by: Wang, Yibo, et al.
Published: (2025)

Integrative Predictor-Dependent Learning of Network Data and Spatially Correlated Nodal Attributes for Multimodal Brain Imaging in Aging
by: Rodriguez-Acosta, Jose, et al.
Published: (2026)

K-Contact Distance for Noisy Nonhomogeneous Spatial Point Data with application to Repeating Fast Radio Burst sources
by: Cook, A. M., et al.
Published: (2024)

The Influence of Spatial Distance and Environment on Small‐Scale Genetic Variability in Eelgrass and Its Application for Restoration
by: Marlene Jahnke, et al.
Published: (2025)

Threshold Exceedance Estimation in Spatially Correlated Areal Data Using Maxima-Nominated Sampling
by: Jozani, Mohammad Jafari
Published: (2026)

Bayesian Multilevel Bivariate Spatial Modelling of Italian School Data
by: Cefalo, Leonardo, et al.
Published: (2024)

Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data
by: Xu, Jiazhen, et al.
Published: (2026)

Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)

On Robust Measures of Spatial Correlation
by: Nardelli, Vincenzo, et al.
Published: (2024)

Factor Analysis with Correlated Topic Model for Multi-Modal Data
by: Łazęcka, Małgorzata, et al.
Published: (2025)

Euclidean Ideal Point Estimation From Roll-Call Data via Distance-Based Bipartite Network Models
by: Lee, Seungju, et al.
Published: (2025)

Nonparametric Estimation and Comparison of Distance Distributions from Censored Data
by: McCabe, Lucas H.
Published: (2023)

Spatial von-Mises Fisher Regression for Directional Data
by: Lan, Zhou, et al.
Published: (2022)

Investigating Spatial Error Structures in Continuous Raster Data
by: Tsutsumida, Narumasa, et al.
Published: (2018)