Interesting Statistical Lessons in Providing Real World Evidence that the ensoETM Device Protects the Esophagus from Thermal Injury During Radiofrequency Ablation Presented by Babette Brumback, PhD Professor Emerita, Department of Biostatistics University of Florida Wednesday, September 25, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge […]
Events
UCONN STAT Colloquium Series : Haim Bar and Vladimir Pozdnyakov, University of Connecticut
High Dimensional Space Oddity Presented by Assocaite Professor Haim Bar and Professor Vladimir Pozdnyakov, Department of Statistics, University of Connecticut Wednesday, September 18, 2024 4:00 PM-5:00 PM ET Online Meeting Webex Meeting Link In his 1996 paper, Talagrand highlighted that the Law of Large Numbers (LLN) for independent random variables can be viewed as a […]
Statistics Colloquium: Mengyang Gu, University of California, Santa Barbara
Fast ab initio uncertainty quantification and data inversion for dynamical systems Presented by Mengyang Gu, Department of Statistics and Applied Probability University of California, Santa Barbara Wednesday, September 11, 2024 4:00 PM AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Estimating parameters from data is […]
Statistics Colloquium: Debajyoti Sinha, Florida State University
Analysis of spatially clustered survival data with unobserved covariates using SBART Presented by Debajyoti Sinha, Florida State University DATE: Wednesday, September 4, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:00 pm in the Noether Lounge (AUST 326) Usual parametric and semi-parametric regression methods are inappropriate and inadequate for large, […]
Statistics Colloquium: Gyuhyeong Goh, Kyungpook National University (South Korea)
Model-based synthetic control methods Presented by Gyuhyeong Goh, Kyungpook National University (South Korea) Friday, August 23 2024 10:00 AM-11:00 AM ET AUST 340 Webex Meeting Link Coffee will be served at 3:00 pm in the Noether Lounge (AUST 326) Synthetic Control Method (SCM) has increasingly been regarded as an innovative way to perform causal inference […]
Samiran Ghosh ’06 PhD selected as a 2024 ASA Fellow.
Samiran Ghosh (Ph.D. 2006) became a fellow of ASA, this year and the following citation is provided for being recognized as an ASA Fellow: “For outstanding contributions to statistical methodology; especially in Non-inferiority, Adaptive, and Bayesian Clinical Trials; for being an exemplary ambassador for statistics in the scientific community; for continued excellence in biostatistical teaching […]
Prof. Ming-Hui Chen named AAAS Fellow
Prof. Ming-Hui Chen named AAAS Fellow. For more information, please visit this link: https://today.uconn.edu/2024/04/six-uconn-faculty-members-named-aaas-fellows/. Congratulations!
Interdisciplinary Seminar: Dr. Dale Zimmerman, University Of Iowa
In Defense Of Unrestricted Spatial Regression Presented by Dr. Dale Zimmerman, University Of Iowa Friday, 04/12/2024, 11am ET In-Person: AUST 202 Virtual: http://tinyurl.com/rmme-Zimmerman Meeting # 2632 213 9929 Password: RMMESTAT Join by video system: Dial 26322139929@uconn cmr.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone: +1-415-655-0002 US Toll Access code: […]
Statistics Colloquium: Abolfazl Safikhani, George Mason University
Change Point Detection for High-dimensional Time Series Models With Local Dynamics Presented by Abolfazl Safikhani, Department of Statistics, George Mason University Friday, April 5 2024 10:00 AM-11:00 AM ET AUST 202 Webex Meeting Link Coffee will be served at 9:30 am in the Noether Lounge (AUST 326) Sequential monitoring of multivariate time series to find […]
UConn/UMass Joint Colloquium: Qian Zhao, University of Massachusetts
Variable selection with a biased sample using tilted knockoffs Presented by Qian Zhao, University of Massachusetts, Amherst Wednesday, April 3, 2024 4:00 PM-5:00 PM ET AUST 163 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Researchers in biomedical studies often work with biased samples that are not […]