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DTSTAMP:20250719T183932Z
DESCRIPTION:Overview:Т The goal of this workshop is to serve as an introduct
 ion to Bayesian models and tools for analyzing missing or partially observ
 ed data. Specifically\, we will cover the different types of missing data 
 that one can encounter when working on real problems and various approache
 s for analyzing the incomplete data under different assumptions.Т  We will 
 begin by considering problems where observations for some characteristics 
 are completely missing in the original dataset. Then we will address Bayes
 ian models for partially observed values\, e.g. for censored or measuremen
 t-error contaminated values.\n\nParticipants will get access to several wo
 rked examples written in STAN\, NIMBLE\, and other R packages (e.g. mitool
 s) that are often used in the analysis of data with missing values.Т \n\nAt
  the end of this workshop\, you will be able to:\n	Т Т  - Understand the diff
 erent kinds of assumptions one can choose from for missing data models wit
 h completely missing observations\;\n	Т Т  - Understand the importance of inc
 orporating appropriate uncertainty in any analysis where there are missing
  values\;\n	Т Т Т - Identify different patterns of missing values for multivar
 iate datasets and how they affect analyses\;\n	Т Т Т - Identify different ways
  that data can be partially observed and the choices of assumptions for ho
 w that occurs\;\n	Т Т Т - Fit Bayesian models in STAN and NIMBLE to data with 
 missing values or Bayesian inference in commonly used models.\n\nPre-requi
 sites:\n	Т Т  - An undergraduate/graduate introduction to probability\;\n	Т Т  -
  Knowledge of R\;\n	Т Т  - An introduction to Bayesian statistics and methods
 .\n	Т Т Т Т Т  ТЗ Install R and RStudio on your computer. You can find installati
 on instructionsТ here. Please contact us (cdsi.science [at] mcgill.ca) if y
 ou are having trouble with installation.\n	Т Т Т Т Т  ТЗ You need to bring your o
 wn laptop for this workshop. Contact us if you would like to attend but it
 's impossible for you to bring a laptop.\n\n\n	Location:Т HYBRID. Online via
  Zoom\, or in-person atТ Burnside HallТ room 1104 (11th floor).\n	Instructor:
 Т Prof. Russell Steele\, Dept. of Mathematics and Statistics\, КкСЯВЛДђьШ.\n\nR
 egistration: Register Here\n
DTSTART:20250207T150000Z
DTEND:20250207T170000Z
SUMMARY:Treating missing data in Bayesian models	
URL:/cdsi/channels/event/treating-missing-data-bayesia
 n-models-364048
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