Daeyoung Lim

Daeyoung Lim

Statistics PhD Candidate

University of Connecticut

Biography

Daeyoung Lim is a statistics PhD candidate at the University of Connecticut. His research interests include Bayesian statistics, biostatistics, and computational statistics.

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Interests
  • Bayesian Statistics
  • Computational Statistics
  • Biostatistics
Education

  • MS in Statistics, 2018

    Korea University

  • BEc in Statistics, 2016

    Korea University

Skills

R

90%

Statistics

100%

Linux

40%

Experience

 
 
 
 
 
University of Connecticut
PhD Candidate
University of Connecticut
Aug 2018 – Present Connecticut
Graduate assistant

Recent Posts

Conformal Inference
Introducing conformal inference
Daeyoung Lim
Last updated on Nov 19, 2022 4 min read statistics
Thoughts on Teaching Statistical Computing
We need courses on development
Daeyoung Lim
Last updated on Oct 24, 2022 3 min read software development
Configuring nginx for Node.js
Nginx virtual host configuration for Node.js
Daeyoung Lim
Last updated on Oct 24, 2022 3 min read
Estimability of Contrasts in Two-Way ANOVA
Two ways of showing estimability in two-way ANOVA
Daeyoung Lim
Last updated on Apr 20, 2022 2 min read
Almost Sure Uniqueness of Limits
Limits of random variables are almost surely unique.
Daeyoung Lim
Last updated on Apr 20, 2022 3 min read

Recent Publications

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Ming-Hui Chen, Daeyoung Lim, Nalini Ravishanker, M. Henry Linder, Mark Bolduc, Brian McKeon, Stanley Nolan (2022). Collaborative Analysis for Energy Usage Monitoring and Management on a Large University Campus. In Stat.

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Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2022). metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface. In R Journal.

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Daeyoung Lim, Ming-Hui Chen, Nalini Ravishanker, Mark Bolduc, Brian McKeon, Stanley Nolan (2022). A Hybrid Monitoring Procedure for Detecting Abnormality with Application to Energy Consumption Data. In JDS.

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Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021). Bayesian network meta‐regression hierarchical models using heavy‐tailed multivariate random effects with covariate‐dependent variances. In SIM.

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Daeyoung Lim, Beomjo Park, David Nott, Xueou Wang, Taeryon Choi (2019). Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes. In SII.

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Contact

  • daeyoung.lim@uconn.edu
  • 860 771 8362
  • Department of Statistics, University of Connecticut, Philip E. Austin, 215 Glenbrook Road, Storrs, CT 06269
  • Enter the building and take the stairs to Floor 3