On-Demand Webinar

The Data Scientist Learning Journey: It’s About Time – A Bayesian Approach to Time Series Modeling

This webinar series is designed for individuals who want to elevate their data science skills using SAS® and keep pace with the most innovative technology.

The Data Scientist Learning Journey

About the webinar

Bayesian methods have become popular in statistical analysis because they allow data scientists to adapt their models to uncertainty and better predict outcomes.

In this webinar, you’ll learn how to work with time series data and incorporate time series components into models using a Bayesian approach in PROC MCMC.

This month’s special guest, Danny Modlin, a Senior Analytical Training Consultant and a specialist in Bayesian modeling, will demonstrate how to develop a time series model and share tips for using a Bayesian approach.

Why attend:

  • Learn to incorporate time series components – including autoregressive, seasonal and exogenous components – into models using a Bayesian approach in PROC MCMC.
  • Discover how to easily reference lagged and next values from the series using the benefits of indexing.
  • Discuss posterior predictive distributions, often called Bayesian scoring.

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About the Experts

Catherine Truxillo
Director of Analytical Education, SAS

Catherine Truxillo has written or co-written SAS training courses for advanced statistical methods, including: multivariate statistics, linear and generalized linear mixed models, multilevel models, structural equation models, imputation methods for missing data, statistical process control, design and analysis of experiments, and cluster analysis. She also teaches SAS courses using SAS/IML®, SAS® Enterprise Guide®, SAS® Enterprise Miner, SAS Forecast Studio and JMP® software.

Danny Modlin
Senior Analytical Training Consultant, SAS

Danny Modlin has taught and developed courses in many areas of statistics and SAS platforms, with a specialization in the application of Bayesian analyses. He received his Bachelor of Science in mathematics from Elon University, a master’s in mathematics from the University of North Carolina Wilmington and a master’s in statistics from North Carolina State University.