We’re excited to share that Dmitry Bagaev , co-founder of Lazy Dynamics, recently took center stage on the Learning Bayesian Statistics podcast. Learning Bayesian Statistics , known for its in-depth discussions on Bayesian statistics.
In the conversation, Dmitry covered various aspects, including what reactive message passing is and its applications, the challenges and benefits of using RxInfer.jl for probabilistic inference, the trade-offs involved in Bayesian inference architecture, and Lazy Dynamics its goals to commercialize research in Bayesian inference.
For a firsthand look at the discussion and to gain insights into reactive message passing and its role in Bayesian statistics, check out the episode:
Congratulations to Dmitry on this recognition, and a big thank you to Alexandre Andorra for providing a platform to share insights with the wider statistical community.