Author: mhl14002

– November 2: Introduction to UCONN’s High-Performance Computing (HPC) Cluster

The Department of Statistics will host an introduction to the University’s high-performance computing (HPC) cluster.

The presentation will include an overview of usage of the University’s HPC system, as well as a live demonstration.

The training will be held at 1pm on Friday, November 2, 2018, in AUST 340.

Attendees should register for an HPC account prior to the training, and should bring a laptop, if possible.

– SCS continues consulting project on University energy usage

Over the past year, a team of several SCS members has developed statistical techniques and data visualizations of energy use on the UConn campus. The project, a collaboration with the University’s Utilities Services & Energy Management within Facilities Operations & Building Services, predicts the energy consumption of campus buildings in order to identify maintenance problems at the UConn campus. SCS has applied a variety of statistical tools—statistical control charts, mixed effects time series models, cluster analysis—to a subset of the data, at a monthly frequency. The resulting data visualizations and modeling pipeline are implemented in an interactive web application, and SCS has begun to apply these models and exploratory software to a second dataset: a high-frequency dataset of all energy use on campus.

The consulting team continues to meet regularly with representatives of the Utility Operations & Energy Management group at UConn, including Stanley Nolan (Director), David McIntosh (Associate Directory) , Mark Bolduc, and Brian McKeon.

The project was supervised by Professor Ming-Hui Chen ( Active consultants in Fall 2017 were PhD students Renjie Chen ( and Henry Linder (; and undergraduate student Francisco Cifuentes Villarroel ’17 ( Previously, PhD student Aditya Mishra ’17 worked on the project, as well as MS students Shaochen Bai, Yile Huang, Yueqi Liu, and Haining Zhang.

Professor Ming-Hui Chen Renjie Chen Henry Linder

– PhD students Wenjie Wang, Yeongjin Gwon win IBM Best Paper Awards at NESS

Congratulations to our own PhD students Wenjie Wang and Yeongjin Gwon, each of whom received the IBM Best Paper Award at NESS 2017!

Wenjie presented his paper ““Extended Cox Model by ECM Algorithm for Uncertain Survival Records Due to Imperfect Data Integration,” which he coauthored with faculty members Professor Kun Chen and Professor Jun Yan.

Yeongjin’s paper ““Network Meta-Regression for Ordinal Outcomes: Applications in Comparing Crohns Disease Treatments” was coauthored with Professor Ming-Hui Chen, as well as May Mo, Juan Li, H. Xia Amy, Joseph Ibrahim.

– PhD student Yang Liu wins ACTNext Travel Award

We congratulate our own PhD student Yang Liu, who has won an ACTNext Travel Award to attend the 2017 International Meeting of the Psychometric Society in Zurich, Switzerland.

Yang will present his paper titled “Bayesian Nonparametric Monotone Regression of Dynamic Latent Traits in Item Response Models”, jointly written with Professor Xiaojing Wang.