
David Kohns
Researcher at Aalto University working on probabilistic programming. Focuses on time series modeling, model selection, and the integration of AI in prior elicitation.
Best podcasts with David Kohns
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Jun 18, 2025 • 15min
BITESIZE | Exploring Dynamic Regression Models, with David Kohns
In this engaging discussion, David Kohns, a researcher at Aalto University specializing in probabilistic programming, shares his insights on the future of Bayesian statistics. He explores the complexities of time series modeling and the significance of setting informative priors. The conversation highlights innovative tools like normalizing flows that streamline Bayesian inference. David also delves into the intricate relationship between AI and prior elicitation, making Bayesian methods more accessible while maintaining the need for practical understanding.

Jun 10, 2025 • 1h 41min
#134 Bayesian Econometrics, State Space Models & Dynamic Regression, with David Kohns
David Kohns, a postdoctoral researcher at Aalto University, enriches the discussion with insights on Bayesian econometrics. He dives into the significance of setting appropriate priors to mitigate overfitting and enhance model performance. Dynamic regression is explored, emphasizing how it captures evolving relationships over time. State-space models are explained as a structured approach in time series analysis, which aids in forecasting and understanding economic dynamics. Kohns also discusses AI's role in prior elicitation, bringing innovative perspectives to statistical modeling.