Statistical Modeling Courses and Certifications

Richard McElreath

Statistical Rethinking 2022 - Correlated Varying Effects

Explore advanced statistical concepts including varying effects, correlations, and non-centered coding. Learn to analyze complex data structures and improve model interpretability in this comprehensive lecture.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Learning from Data: The Two Cultures

Explore statistical and task modeling approaches in AI, their strengths, limitations, and the importance of integrating principles from both cultures for more robust and responsible machine learning.

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

Julia Silge

Handling Coefficients for Modeling Collegiate Sports Expenditures

Explore collegiate sports expenditures using linear modeling and tidymodels, focusing on handling coefficients and intervals for insightful analysis of financial patterns.

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

Julia Silge

Explore Changes in Art Over Time With Tidymodels

Analyze art trends in the Tate collection using tidymodels for regression modeling, text feature engineering, and model diagnostics to uncover insights on changing art media usage over time.

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

NPTEL-NOC IITM

Multinomial Regression Model - Part I: Introduction to MRM and Multinomial Logit Model

Explore multinomial regression models, including types and the multinomial logit model. Learn key concepts and applications in statistical analysis.

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

Information and Model Misspecification - Classical Statistics vs. Info-Metrics

Explore info-metrics framework for handling model misspecification, contrasting classical methods with innovative approaches using entropy and empirical likelihood in power law distributions.

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

The Individual Within the Crowd: How Individual Forecasters Contribute to Ideal Group Forecasts

Explores optimal group forecasting by analyzing individual biases, errors, and diversity. Presents a statistical model for estimating forecaster features and discusses when to use optimal weighting versus simple averaging.

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

Modeling Psychological Systems with Ternary Spin Models

Explore how ternary spin models enhance psychological research by extending binary network models to include neutral states, offering richer dynamics for analyzing depression, intelligence, and attitude changes.

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

International Mathematical Union

Theory of Adaptive Estimation

Introduction to modern adaptive estimation theory, focusing on universal estimation procedures and oracle inequalities. Explores commutativity properties, upper functions, and applications to various statistical models.

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

Institute for Pure & Applied Mathematics (IPAM)

The Effectiveness of Nonconvex Tensor Completion - Fast Convergence and Uncertainty Quantification

Explores nonconvex optimization for tensor completion, proposing a two-stage algorithm with guaranteed success, linear convergence, and statistical accuracy. Discusses distribution characterization and confidence interval construction.

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

BIMSA

Quasi-Dynamic System Representation of Multiple Nonlinear Regression

Explore evolutionary game theory and allometric scaling to model nonlinear relationships between variables, overcoming limitations of linear regression for complex systems analysis.

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

Institut Henri Poincaré

Marked Point Process Modeling and Estimation Problems in Neural Data Analysis

Explore marked point process modeling and estimation techniques for analyzing neural data, focusing on advanced statistical approaches in neuroscience research.

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

Centre International de Rencontres Mathématiques

Hill Random Forests with Application to Tornado Damage Insurance

Explore Hill random forests and their application to tornado damage insurance in this mathematical conference talk.

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

Chemometrics & Machine Learning in Copenhagen

Causality in Latent Space - PLS in Digitalized Industry 4.0

Explore how Partial Least Squares Regression models causality in latent space, focusing on practical applications for Industry 4.0 and multivariate statistical analysis.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

INI Seminar Room 2

Extreme Events: Model Selection and the Value of Data

Delve into advanced statistical approaches for predicting extreme events, exploring model selection methods and data-driven engineering principles with MIT Professor Sapsis.

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