BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20251008T052426EDT-1472B1tCjo@132.216.98.100
DTSTAMP:20251008T092426Z
DESCRIPTION:\n	Title: VCBART: Bayesian trees for varying coefficients\n\n	Abs
 tract:\n\n\nThe linear varying coefficient models posits a linear relation
 ship between an outcome and covariates in which the covariate effects are 
 modeled as functions of additional effect modifiers. Despite a long histor
 y of study and use in statistics and econometrics\, state-of-the-art varyi
 ng coefficient modeling methods cannot accommodate multivariate effect mod
 ifiers without imposing restrictive functional form assumptions or involvi
 ng computationally intensive hyperparameter tuning. In response\, we intro
 duce VCBART which flexibly estimates the covariate effect in a varying coe
 fficient model using Bayesian Additive Regression Trees. With simple defau
 lt settings\, VCBART outperforms existing varying coefficient methods in t
 erms of covariate effect estimation\, uncertainty quantification\, and out
 come prediction. Theoretically\, we show that the VCBART posterior contrac
 ts at the near-minimax optimal rate. Finally\, we illustrate the utility o
 f VCBART through simulation studies and a real data application examining 
 how the association between later-life cognition and measures of socioecon
 omic position vary with respect to age and sociodemographics.\n\nSpeaker\n
 \nDr. Ray Bai is an Assistant Professor of Statistics at the University of
  South Carolina. He joined the department in 2020 after completing a two-y
 ear postdoc at the University of Pennsylvania. He got his PhD in Statistic
 s from the University of Florida in 2018 under the supervision of Dr. Mala
 y Ghosh. Dr. Bai’s research spans methodology\, computation\, and theory\,
  and mainly focuses on Bayesian statistics\, high-dimensional statistics\,
  and deep learning.\n\nhttps://mcgill.zoom.us/j/88350756970\n\nMeeting ID:
  883 5075 6970\n\nPasscode: None\n
DTSTART:20240927T193000Z
DTEND:20240927T203000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Ray Bai (University of South Carolina)
URL:/mathstat/channels/event/ray-bai-university-south-
 carolina-359866
END:VEVENT
END:VCALENDAR