Bayesian Statistics Courses and Certifications

VinAI

Parameter Estimation and Interpretability in Bayesian Mixture Models

Explore posterior contraction in Bayesian mixture modeling, examining parameter estimation and model interpretability under correct and misspecified conditions. Gain insights into tradeoffs between expressiveness and interpretability.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Finnish Center for Artificial Intelligence FCAI

Functional Priors for Bayesian Deep Learning

Explore functional priors for Bayesian deep learning, focusing on imposing Gaussian process priors on neural networks through Wasserstein distance minimization.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Finnish Center for Artificial Intelligence FCAI

Better Priors for Everyone - Choosing Prior Distributions in Bayesian Modeling

Explore techniques for choosing effective prior distributions in Bayesian modeling, including prior elicitation and automatic selection methods for improved statistical inference.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Probabilistic AI School

Better Priors for Everyone - Keynote

Explore advanced techniques for improving prior distributions in probabilistic models, enhancing Bayesian inference across various applications.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Conference GSI

Alpha Parallel Priors on One-Sided Truncated Exponential Family

Explore alpha parallel priors in one-sided truncated exponential families, delving into advanced statistical concepts and their applications.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Centre International de Rencontres Mathématiques

Bayesian Causal Inference: A Potential Outcome Perspective with Applications - Lecture

Explore Bayesian causal inference from a potential outcome perspective, with practical applications and insights from Fabrizia Mealli's conference talk.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Centre International de Rencontres Mathématiques

Monte Carlo Guided Diffusion for Bayesian Linear Inverse Problems

Explore Monte Carlo guided diffusion techniques for solving Bayesian linear inverse problems in this advanced mathematical presentation by Sylvain Le Corff.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Centre International de Rencontres Mathématiques

An Introduction to State-Space Models, Particle Filters, and Sequential Monte Carlo - Lecture 1

Explore state-space models, particle filters, and sequential methods in Bayesian statistics with Nicolas Chopin's comprehensive introduction to these advanced mathematical concepts.

• YouTube
• 1 hour 51 minutes
• On-Demand
• Free Video

Centre de recherches mathématiques - CRM

Bayesian Markov Switching Space-Time Model for Zika in Colombia

Explorez un modèle bayésien spatio-temporel à changement de régime markovien pour l'épidémie de Zika en Colombie, examinant les facteurs d'émergence, de transmission et de persistance de la maladie.

• YouTube
• 13 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Building a Measurement System for Personalization - A Bayesian Approach

Explore Bayesian approaches for measuring personalization effectiveness, optimizing customer assignments, and designing MLOps-inspired measurement platforms for complex hierarchical experiments.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Centre de recherches mathématiques - CRM

Skew-Symmetric Approximations of Posterior Distributions - Colloque des Sciences Mathématiques du Québec

Explore unified skew-normal distributions as conjugate priors for discretized Gaussian linear regressions, enhancing Bayesian inference and computation in regression models across various fields.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Centre de recherches mathématiques - CRM

Adaptive Bayesian Predictive Inference

Explore adaptive Bayesian predictive inference for high-dimensional sparse mean estimation, examining sparsity priors and their performance in predictive density estimation under Kullback-Leibler loss.

• YouTube
• 50 minutes
• On-Demand
• Free Video

BIMSA

Bayesian Quantile Joint Modeling of Multivariate Longitudinal and Time-to-Event Data

Explore Bayesian quantile joint modeling for multivariate longitudinal and time-to-event data, focusing on non-Gaussian outcomes and time-varying covariates in medical research applications.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Empirical Bayes and Its Applications: Shrinkage, Hypothesis Testing, and More

Explore Empirical Bayes methods for shrinkage, hypothesis testing, and genomic studies. Learn statistical techniques to estimate and test effects in multiple conditions.

• YouTube
• 46 minutes
• On-Demand
• Free Video

ICTP-SAIFR

Bayesian Tools for the Information Frontier at the LHC

Explore Bayesian machine learning tools and their applications in LHC particle physics research, focusing on information frontier analysis and scientific discovery methods.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video