Statistical Inference Courses and Certifications

Foundations of Inference in Python

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

This interactive DataCamp course complements the Coursera course Data Analysis and Statistical Inference by Mine Çetinkaya-Rundel.

• DataCamp
• On-Demand
• Free Trial Available

Simons Institute

Statistical Inference I

Explore statistical inference fundamentals, including models, estimation, minimax risk, and Bayesian approaches, with UC Berkeley's Will Fithian.

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

Simons Institute

Recent Development in Selective Inference II

Explore advanced selective inference techniques, including randomized approaches, computational challenges, and approximate methods for statistical analysis in adaptive data settings.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Simons Institute

Approximate Message Passing Algorithms

Explore Approximate Message Passing algorithms, their applications in statistical inference, and theoretical foundations including state evolution, convergence, and joint distribution analysis.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Approximate Message Passing for Statistical Inference and Estimation by Cynthia Rush

Explore approximate message passing techniques for statistical inference and estimation, focusing on applications in machine learning and data analysis.

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

Simons Institute

On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations

Explore α-posteriors and variational approximations, examining their robustness to misspecification in machine learning contexts.

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

IEEE

Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 3

Explore advanced statistical inference techniques for distributed and constrained environments, focusing on lower bound analysis and practical applications in complex data scenarios.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

IEEE

Cookbook Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 2

Explore advanced statistical inference techniques for distributed and constrained environments, focusing on lower bounds and their applications in complex data analysis scenarios.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Alan Turing Institute

Stability and Inference for Position-Dependent Langevin Diffusions

Explore stability and inference in position-dependent Langevin diffusions, combining statistical inference, computation, and physical laws for complex systems modeling across various scientific domains.

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

Simons Institute

Tensor Graphical Models for Complex and High Dimensional Data

Explore advanced statistical methods for analyzing complex, high-dimensional data using tensor graphical models, with applications in algorithmic inference and combinatorial structures.

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

Applied Algebraic Topology Network

Larry Wasserman - Robust Topological Inference

Explore robust topological inference with Larry Wasserman, covering persistence, confidence bands, bootstrap methods, and optimal tuning for data analysis and statistical modeling.

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

Georgia Tech Research

The Debiased Lasso - Lecture 3

Explore sparsity in high-dimensional statistics, focusing on confidence intervals and the Debiased Lasso method for parameter estimation and asymptotic normality.

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

Centre International de Rencontres Mathématiques

Minimax Estimation in Efron's Two-groups Model

Explore minimax estimation in Efron's two-groups model, delving into mathematical statistics and advanced probability theory concepts.

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

NPTEL-NOC IITM

Statistical Inference of Logistic Regression: Confusion Matrix, Errors, and Model Selection

Explore statistical inference in logistic regression, covering confusion matrices, error types, and model selection techniques for improved predictive accuracy.

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