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03/29/2023
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data
Graphics processing units (GPUs) are widely used in many high-performanc...
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12/11/2022
Reliability Study of Battery Lives: A Functional Degradation Analysis Approach
Renewable energy is critical for combating climate change, whose first s...
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12/08/2022
Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data
Engineers and scientists have been collecting and analyzing fatigue data...
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05/19/2022
Prediction for Distributional Outcomes in High-Performance Computing I/O Variability
Although high-performance computing (HPC) systems have been scaled to me...
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04/09/2022
A Little Too Personal: Effects of Standardization versus Personalization on Job Acquisition, Work Completion, and Revenue for Online Freelancers
As more individuals consider permanently working from home, the online l...
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01/24/2022
Design Strategies and Approximation Methods for High-Performance Computing Variability Management
Performance variability management is an active research area in high-pe...
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01/11/2022
The Poisson Multinomial Distribution and Its Applications in Voting Theory, Ecological Inference, and Machine Learning
The Poisson multinomial distribution (PMD) describes the distribution of...
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11/09/2021
Statistical Perspectives on Reliability of Artificial Intelligence Systems
Artificial intelligence (AI) systems have become increasingly popular in...
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10/17/2021
Building Degradation Index with Variable Selection for Multivariate Sensory Data
The modeling and analysis of degradation data have been an active resear...
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06/09/2021
Copula-Frailty Models for Recurrent Event Data Based on Monte Carlo EM Algorithm
Multi-type recurrent events are often encountered in medical application...
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03/29/2021
Modeling Bivariate Geyser Eruption System with Covariate-Adjusted Recurrent Event Process
Geyser eruption is one of the most popular signature attractions at the ...
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02/02/2021
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
Artificial intelligence (AI) systems have become increasingly common and...
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01/06/2021
Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization
Computer experiments with both qualitative and quantitative factors are ...
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12/14/2020
Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations
Performance variability is an important measure for a reliable high perf...
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08/26/2019
Statistical Analysis of Modern Reliability Data
Traditional reliability analysis has been using time to event data, degr...
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11/30/2018
Bayesian Sequential Design Based on Dual Objectives for Accelerated Life Tests
Traditional accelerated life test plans are typically based on optimizin...
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09/17/2018
Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence
Lyme disease is an infectious disease that is caused by a bacterium call...
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08/24/2018
Applications of the Fractional-Random-Weight Bootstrap
The bootstrap, based on resampling, has, for several decades, been a wid...
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04/25/2018
Disentangling and Assessing Uncertainties in Multiperiod Corporate Default Risk Predictions
Measuring the corporate default risk is broadly important in economics a...
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03/16/2018
Big Data and Reliability Applications: The Complexity Dimension
Big data features not only large volumes of data but also data with comp...
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03/16/2018