
Statistical Perspectives on Reliability of Artificial Intelligence Systems
Artificial intelligence (AI) systems have become increasingly popular in...
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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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A Parallel Tempering Approach for Efficient Exploration of the Verification Tradespace in Engineered Systems
Verification is a critical process in the development of engineered syst...
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Robust Estimation of Sparse Precision Matrix using Adaptive Weighted Graphical Lasso Approach
Estimation of a precision matrix (i.e., inverse covariance matrix) is wi...
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Efficient Experimental Design for Regularized Linear Models
Regularized linear models, such as Lasso, have attracted great attention...
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On Efficient Design of Pilot Experiment for Generalized Linear Models
The experimental design for a generalized linear model (GLM) is importan...
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A Generative Approach to Joint Modeling of Quantitative and Qualitative Responses
In many scientific areas, data with quantitative and qualitative (QQ) re...
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JSTRR Model: Joint Modeling of Ratings and Reviews in SentimentTopic Prediction
Analysis of online reviews has attracted great attention with broad appl...
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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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Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses
Many applications involve data with qualitative and quantitative respons...
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A Maximin Φ_pEfficient Design for Multivariate GLM
Experimental designs for a generalized linear model (GLM) often depend o...
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Multivariate Regression of Mixed Responses for Evaluation of Visualization Designs
Information visualization significantly enhances human perception by gra...
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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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The CCP Selector: Scalable Algorithms for Sparse Ridge Regression from ChanceConstrained Programming
Sparse regression and variable selection for largescale data have been ...
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On IOptimal Designs for Generalized Linear Models: An Efficient Algorithm via General Equivalence Theory
The generalized linear model plays an important role in statistical anal...
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Ensemble Estimation of Large Sparse Covariance Matrix Based on Modified Cholesky Decomposition
Estimation of large sparse covariance matrices is of great importance fo...
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An Improved Modified Cholesky Decomposition Method for Inverse Covariance Matrix Estimation
The modified Cholesky decomposition is commonly used for inverse covaria...
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Xinwei Deng
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