Publications

Collaborative Analysis for Energy Usage Monitoring and Management on a Large University Campus
A collaboration between Facilities Operations and the Department of Statistics at UConn on energy monitoring.
Ming-Hui Chen, Daeyoung Lim, Nalini Ravishanker, M. Henry Linder, Mark Bolduc, Brian McKeon, Stanley Nolan
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metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface
A unified formula interface for meta-analysis in R.
Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin
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A Hybrid Monitoring Procedure for Detecting Abnormality with Application to Energy Consumption Data
A hybrid (frequentist and Bayesian) and computationally intensive approach to anomaly detection, applied to natural gas usage data from UConn.
Daeyoung Lim, Ming-Hui Chen, Nalini Ravishanker, Mark Bolduc, Brian McKeon, Stanley Nolan
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Bayesian network meta‐regression hierarchical models using heavy‐tailed multivariate random effects with covariate‐dependent variances
Bayesian network meta-regression hierarchical model with multivariate t-random effects, where the variances of the random effects are modeled as a log-linear function of related covariates.
Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin
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Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes
Robustified Bayesian quantile regression models with sparse signal shrinkage prior to address model misspecification. Estimation is carried out with variational Bayes.
Daeyoung Lim, Beomjo Park, David Nott, Xueou Wang, Taeryon Choi
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