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Curious if powerful Bayesian statistical methods can be applied without needing a supercomputer? This video explores the ...

QuantFish instructor Dr. Sarah Depaoli discusses sensitivity analyses of priors in Bayesian structural equation modeling. #rstats #r ...

Ever wondered how complex Bayesian models actually work in practice? This video breaks down the crucial role of Markov Chain ...

Bayesian statistical models are powerful, but understanding when and why to compare them is crucial for robust analysis.

This video investigates whether approximate Bayesian methods can offer a practical solution to these demanding computational ...

BayesERtools: R package for exposure-response analysis with Bayesian approaches (Kenta Yoshida) Abstract: ...

Today's clip is from episode 147 of the podcast, with Martin Ingram. Alex and Martin discuss the intricacies of variational inference, ...

Today's clip is from episode 147 ...

... https://arxiv.org/abs/2112.10510 Currently, it is hard to reap the benefits of deep learning for Bayesian methods, which allow the ...

Dive into the world of Bayesian modeling and uncover the critical role that Markov Chain Monte Carlo (MCMC) methods play in ...

Ever wondered how statisticians tackle the most intricate problems in Bayesian analysis? This video demystifies Markov Chain ...

Ever wondered when the powerful Metropolis-Hastings MCMC method truly shines? This video breaks down the core scenarios ...

This video breaks down the fundamental reasons behind MCMC's critical role in understanding and applying Bayesian methods.

Hierarchical Linear Modeling (HLM) is often described as “advanced statistics,” but at its core, it's about something very simple: ...

Ever wondered what MCMC really means in the world of Bayesian statistics? This video dives deep into the core definition of ...

Ever wondered why sampling is absolutely essential when diving into complex Bayesian models? This video unpacks the ...

Dive deep into the world of Bayesian statistics as we uncover the specific challenges that Markov Chain Monte Carlo (MCMC) ...

Discover the core value of MCMC in Bayesian analysis: ▻ Understand the challenges Bayesian inference faces without MCMC.

Dive into the critical concept of 'burn-in' and uncover its significant role in the precision and reliability of Bayesian Inference.

That's why we use Bayesian methods at Recast. We place priors that shape how those time-varying ROIs can move (smoothness, ...