Bayesian Regression Modeling with rstanarm

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Bayesian estimation can be used to model techniques that are dependent on p values. This course will show you how to calculate linear regression models using Bayesian methods and the rstanarm. You will also learn about posterior predictive model checking, prior distributions, and how to use the Bayesian framework. The model you have constructed will be used for predicting new data.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Bayesian Modeling with RJAGS

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Introduction to Data Visualization with ggplot2

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Intermediate Regression in R

What You Will Learn

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Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models

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In this course, you’ll learn how to estimate linear regression models using Bayesian methods and the rstanarm package

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You’ll be introduced to prior distributions, posterior predictive model checking, and model comparisons within the Bayesian framework

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You’ll also learn how to use your estimated model to make predictions for new data

Course Instructors

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Jake Thompson

Psychometrician, ATLAS, University of Kansas

Jake is a Psychometrician at the Center for Accessible Teaching, Learning, and Assessment Systems (ATLAS) and received his PhD in Educational Psychology and Research. His interests are include educat...

Course Reviews

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Course Cover

$12

$6

49% OFF

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