Bayesian for Beginners
Learn the basics of Bayes in Sarah Depaoli's on-demand course
In this on-demand workshop, Sarah Depaoli teaches you how to test a variety of Bayesian modeling techniques using R and Mplus. With clear hands-on lessons, she’ll take you through each step of the model building procedure, from writing syntax to interpreting output. Use the dropdown menu below to see what’s included in this on-demand course:
Introduction to the Course
FREE PREVIEWHandouts & References
Prevalence, Philosophy, and Process
Key Ingredients: Constructing Bayes' Rule
Prior Distributions
Bayesian Estimation Process
Chain Convergence
Autocorrelation, Effective Sample Size, and Thinning
Posterior Inference
Model Fit & Comparison
Basics of R
Bayesian Multiple Regression Example in R using Rstan
Bayesian Mediation Analysis Example in R using blavaan
Basics of Mplus & Bayesian Features
Specifying Priors in Mplus
Bayesian Multiple Regression Example in Mplus with MCMC Plotting in R
Bayesian Mediation Analysis Example in Mplus
Impact of Priors
Prior Predictive Checking
When to Use R vs. Mplus for Bayesian Modeling
When is Bayes Useful?
Additional Resources
Closing Thoughts
Sarah Depaoli, Ph.D.
Dr. Sarah Depaoli is Professor and Area Head of Quantitative Methods, Measurement, and Statistics at the University of California, Merced. Her research focuses on issues surrounding Bayesian estimation of latent variable models. This course is a companion workshop to her book, Bayesian Structural Equation Modeling.
Bayesian for Beginners is available for immediate access.
Please contact us if you need an invoice prior to purchase or have a larger group.
Payment is accepted by credit card, Paypal, or bank transfer (euros & GPB). Bank transfer instructions are here.
Group licenses provide the lowest per-person cost.
Further discounts are available for researchers working in LMICs; apply here to get started.
Individual: Student/Post Doc
Professional
Group | Up to 6 Users
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Student/Postdoc: €400 Professional: €521 Group: €1249 Account holder: QuantFish LLC BIC/SWIFT: TRWIBEB1XXX IBAN: BE20 9672 6025 0356 Address: Avenue Louise 54, Room S52 Brussels 1050 Belgium The following information is required to ensure proper enrollment:
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Student/Postdoc: £362 Professional: £472 Group: £1131 Account holder: QuantFish LLC Sort code: 23-14-70 Account number: 87960744 IBAN: Address:
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This course is for learners with a foundational knowledge of regression. Prior experience with Mplus and R is not required.
We understand completely! The timing is entirely up to you. Once you enroll and the course has launched, you will have unlimited access to the content. You are free to pause and return to your lessons as needed.
Unfortunately, personal feedback is not possible given the volume of researchers we serve. We are certain that Dr. Depaoli's thorough approach to guiding you through every step of using the software, along with the helpful handouts and guides included in the course, will enable you to successfully perform Bayesian techniques with your own data. Note that we here at QuantFish are always happy to help you navigate any technical issues related to the course itself.
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QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists. Bayesian for Beginners is backed by a complete money-back guarantee for 7 days following the start of the course.