Statistical Inference Courses and Certifications

UofU Data Science

Probabilistic Graphical Models and Mean Field Inference - Lecture 20

Dive into advanced data science concepts including local version inference, alternating updates, and mean field version updates for practical applications in graphic models and word distribution.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

BIMSA

Nonparametric Inference Under Shape Constraints - Past, Present and Future

Explore nonparametric inference methods with shape constraints, covering historical developments, current techniques, and future research directions in statistical analysis.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

BIMSA

χ2-Statistics for High-Dimensional Inference of Multivariate Generalized Linear Models

Discover χ2-statistics applications for high-dimensional inference in multivariate generalized linear models through advanced statistical methodology.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Computational Genomics Summer Institute CGSI

Independence Tests and Dependence Measures for Unbiased and Biased Samples

Explore independence tests and dependence measures for unbiased and biased samples. Learn statistical techniques to analyze relationships between variables in genomic data.

• YouTube
• 47 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

NPTEL-NOC IITM

Unbiased Estimation

Explore the principles and techniques of unbiased estimation in statistical analysis, focusing on methods to create accurate estimators without systematic errors.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Centre International de Rencontres Mathématiques

Introduction to Conformal Prediction and Distribution-Free Inference

Explore conformal prediction methods and distribution-free inference techniques, covering theoretical foundations, practical applications, and recent extensions in uncertainty quantification and statistical analysis.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Centre International de Rencontres Mathématiques

Adaptive Robust Confidence Intervals in High-Dimensional Statistics

Explore the mathematical complexities of constructing adaptive confidence intervals under Huber's contamination model, focusing on Gaussian location models and network settings in Erdos-Renyi graphs.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Paul G. Allen School

An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions?

Explore Tamara Broderick's seminar on data robustness, examining how removing small portions of data can significantly impact research conclusions and policy decisions through an automatic finite-sample robustness check method.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Paul G. Allen School

An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions?

Explore Tamara Broderick's seminar on data robustness, examining how removing small portions of data can significantly impact research conclusions and policy decisions through an automatic finite-sample robustness check.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Fields Institute

Pseudo-Maximum Likelihood Theory for High-Dimension Rank-One Inference

Delve into advanced statistical theory exploring pseudo-maximum likelihood methods for rank-one inference, focusing on high-dimensional probability analysis and mathematical applications.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Extremal Events Dictate Population Growth Rate Inference

Explore how extremal statistical events in microbial populations reveal the complex relationship between single-cell generation times and population-level growth rates.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

INI Seminar Room 2

Nonparametric Smoothing of Directional and Axial Data

Explore nonparametric smoothing techniques for directional and axial data with Professor Lutz Duembgen from Universität Bern in this mathematical sciences seminar.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Theoretical Foundations and Algorithmic Tools for High-Dimensional Inference - Effective Models and Methods

Explore theoretical foundations and algorithmic tools for high-dimensional statistical inference and effective modeling techniques in complex systems.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Elements of Inference

Explore fundamental principles of statistical inference and probabilistic reasoning with expert insights from MIT's renowned machine learning researcher.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video