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UID:20250428T110828EDT-1747xjlm19@132.216.98.100
DTSTAMP:20250428T150828Z
DESCRIPTION:Workshop Overview: The goal of this workshop is to serve as an 
 introduction to Bayesian models and tools for analyzing missing or partial
 ly observed data. Specifically\, we will cover the different types of miss
 ing data that one can encounter when working on real problems and various 
 approaches for analyzing the incomplete data under different assumptions. 
  We will begin by considering problems where observations for some charact
 eristics are completely missing in the original dataset. Then we will addr
 ess Bayesian models for partially observed values\, e.g. for censored or m
 easurement-error contaminated values.\n\nParticipants will get access to s
 everal worked examples written in STAN\, NIMBLE\, and other R packages (e.
 g. mitools) that are often used in the analysis of data with missing value
 s. \n\nAt the end of this workshop\, you will be able to:\n	   - Understand
  the different kinds of assumptions one can choose from for missing data m
 odels with completely missing observations\;\n	   - Understand the importan
 ce of incorporating appropriate uncertainty in any analysis where there ar
 e missing values\;\n	   - Identify different patterns of missing values for
  multivariate datasets and how they affect analyses\;\n	   - Identify diffe
 rent ways that data can be partially observed and the choices of assumptio
 ns for how that occurs\;\n	   - Fit Bayesian models in STAN and NIMBLE to d
 ata with missing values or Bayesian inference in commonly used models.\n\n
 Pre-requisites:\n	   - An undergraduate/graduate introduction to probabilit
 y\;\n	   - Knowledge of R\;\n	   - An introduction to Bayesian statistics an
 d methods.\n	      · Install R and RStudio on your computer. You can find i
 nstallation instructions here. Please contact us (cdsi.science [at] mcgill
 .ca) if you are having trouble with installation.\n	      · You need to bri
 ng your own laptop for this workshop. Contact us if you would like to atte
 nd but it's impossible for you to bring a laptop.\n\n\n	Location: HYBRID. O
 nline via Zoom\, or in-person at Burnside Hall room 1104 (11th floor).\n	In
 structor: Prof. Russell Steele\, Dept. of Mathematics and Statistics\, McG
 ill.\n\nRegistration: Register Here\n
DTSTART:20240408T140000Z
DTEND:20240408T160000Z
SUMMARY:Workshop: Treating missing data in bayesian models
URL:/cdsi/channels/event/workshop-treating-missing-dat
 a-bayesian-models-353559
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