#140 NFL Analytics & Teaching Bayesian Stats, With Ron Yurko Learning Bayesian Statistics podcast

#140 NFL Analytics & Teaching Bayesian Stats, with Ron Yurko

4M ago 1:33:01

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Takeaways:

Teaching students to write out their own models is crucial.
Developing a sports analytics portfolio is essential for aspiring analysts.
Modeling expectations in sports analytics can be misleading.
Tracking data can significantly improve player performance models.
Ron encourages students to engage in active learning through projects.
The importance of understanding the dependency structure in data is vital.
Ron aims to integrate more diverse sports analytics topics into his teaching.

Chapters:

03:51 The Journey into Sports Analytics

15:20 The Evolution of Bayesian Statistics in Sports

26:01 Innovations in NFL WAR Modeling

39:23 Causal Modeling in Sports Analytics

46:29 Defining Replacement Levels in Sports

48:26 The Going Deep Framework and Big Data in Football

52:47 Modeling Expectations in Football Data

55:40 Teaching Statistical Concepts in Sports Analytics

01:01:54 The Importance of Model Building in Education

01:04:46 Statistical Thinking in Sports Analytics

01:10:55 Innovative Research in Player Movement

01:15:47 Exploring Data Needs in American Football

01:18:43 Building a Sports Analytics Portfolio

Thank you to my Patrons for making this episode possible!

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