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UID:20250710T165931EDT-8085aD9tTg@132.216.98.100
DTSTAMP:20250710T205931Z
DESCRIPTION:Workshop series\n	Computational and Data Systems Initiative\n\n 
 \n\n \n\n \n\nThe goal of this workshop is to serve as an introduction to 
 the theory and implementation of hierarchical bayesian models. Specificall
 y\, we will cover theoretical and practical considerations for fitting ran
 dom effect/nested random effect models and generating meaningful predictio
 ns and inferences. Further\, we will discuss hierarchical models for longi
 tudinal and time series data. Participants will get access to several work
 ed examples written in STAN and an example in INLA.\n\nAt the end of this 
 workshop\, you will:\n	   > Understand the difference between Bayesian rand
 om effect and fixed effect models\;\n	   > Fitting random effect and nested
  random effect models in Stan\;\n	   > Priors for hierarchical models and m
 odel complexity\;\n	   > Introduction to hierarchical Bayesian models for l
 ongitudinal and time series models\;\n	   > Understanding a hierarchical lo
 ngitudinal model fit in INLA (if time permits).\n\n*Note the time of this 
 workshop differs from our usual statistics workshops.\n\nDate: Monday Apri
 l 11th\, 2022.\n	Time: 11am to 1pm.\n	Location: online via Zoom.\n	Instructor
 : Tyrel Stokes\, PhD student\, Dept. of Mathematics and Statistics.\n\nThi
 s workshop is offered for free by the Faculty of Science to the ºÚÁϲ»´òìÈ com
 munity. Due to the limited amount of spots available\, if you sign up for 
 a workshop and don't show up\, you will not be allowed to attend another w
 orkshop this semester.\n\nRegister here\n\n \n
DTSTART:20220411T150000Z
DTEND:20220411T170000Z
SUMMARY:Bayesian statistics | Hierarchical models 
URL:/cdsi/channels/event/bayesian-statistics-hierarchi
 cal-models-338795
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