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BITESIZE | Exploring Dynamic Regression Models, with David Kohns
Manage episode 489474490 series 2635823
Today’s clip is from episode 134 of the podcast, with David Kohns.
Alex and David discuss the future of probabilistic programming, focusing on advancements in time series modeling, model selection, and the integration of AI in prior elicitation.
The discussion highlights the importance of setting appropriate priors, the challenges of computational workflows, and the potential of normalizing flows to enhance Bayesian inference.
Get the full discussion here.
- Intro to Bayes Course (first 2 lessons free)
- Advanced Regression Course (first 2 lessons free)
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!
Visit our Patreon page to unlock exclusive Bayesian swag ;)
Transcript
This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.
158 episodes
Manage episode 489474490 series 2635823
Today’s clip is from episode 134 of the podcast, with David Kohns.
Alex and David discuss the future of probabilistic programming, focusing on advancements in time series modeling, model selection, and the integration of AI in prior elicitation.
The discussion highlights the importance of setting appropriate priors, the challenges of computational workflows, and the potential of normalizing flows to enhance Bayesian inference.
Get the full discussion here.
- Intro to Bayes Course (first 2 lessons free)
- Advanced Regression Course (first 2 lessons free)
Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!
Visit our Patreon page to unlock exclusive Bayesian swag ;)
Transcript
This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.
158 episodes
All episodes
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1 BITESIZE | Understanding Simulation-Based Calibration, with Teemu Säilynoja 21:14


1 #135 Bayesian Calibration and Model Checking, with Teemu Säilynoja 1:12:13


1 Live Show Announcement | Come Meet Me in London! 3:04


1 BITESIZE | Exploring Dynamic Regression Models, with David Kohns 14:34


1 #134 Bayesian Econometrics, State Space Models & Dynamic Regression, with David Kohns 1:40:55


1 BITESIZE | Why Your Models Might Be Wrong & How to Fix it, with Sean Pinkney & Adrian Seyboldt 17:04


1 #133 Making Models More Efficient & Flexible, with Sean Pinkney & Adrian Seyboldt 1:12:12


1 BITESIZE | How AI is Redefining Human Interactions, with Tom Griffiths 22:06


1 #132 Bayesian Cognition and the Future of Human-AI Interaction, with Tom Griffiths 1:30:15


1 BITESIZE | Hacking Bayesian Models for Better Performance, with Luke Bornn 13:35


1 #131 Decision-Making Under High Uncertainty, with Luke Bornn 1:31:46


1 BITESIZE | Real-World Applications of Models in Public Health, with Adam Kucharski 16:26


1 #130 The Real-World Impact of Epidemiological Models, with Adam Kucharski 1:09:05


1 BITESIZE | The Why & How of Bayesian Deep Learning, with Vincent Fortuin 11:45


1 #129 Bayesian Deep Learning & AI for Science with Vincent Fortuin 1:02:43
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