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Distinguished Speaker Series: A Seminar taught by Kosuke Imai
“Evaluating AI and Machine Learning Algorithms for Causal Inference”

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Time Series Modeling: Why ARIMA Models Beat Linear Regression for Temporal Data

Accurate forecasting begins with understanding temporal dependence. Build on the concepts in this blog to examine key assumptions and start fitting your own models by joining Fundamentals of...
Felix Lennert September 4, 2025

Time Series Modeling: Why ARIMA Models Beat Linear Regression for Temporal Data

Accurate forecasting begins with understanding temporal dependence. Build on the concepts in this blog to examine key assumptions and start fitting...
Sep 04, 2025

Making Smarter Business Decisions with Propensity Score Analysis

Learn more on how and when to use propensity score analysis with Propensity Score Analysis: Basics taught by Professor Shenyang Guo...
Aug 13, 2025

Supercharge Your Classifier Development with Active Learning

Discover how active learning and other advanced techniques can improve model efficiency in Advanced Machine Learning, taught by Professor Desmarais. This...
Jul 07, 2025

The Statistical Foundations of Machine Learning

Why your stats background is more useful than you might think Gain hands-on experience with machine learning tools and methodologies in...
Apr 18, 2025

If I Could Turn Back Time – The Science Behind Reversing Your Biological Age

To learn more about how to use and implement a variety of methods for measuring and analyzing biological age, join Professor...
Mar 05, 2025

Good to Go? When to Stop Developing a Machine Learning Pipeline and Start Applying It.

Gain hands-on experience with machine learning tools and methodologies in Machine Learning, taught by Professor Desmarais. You’ll deepen your understanding of...
Nov 19, 2024

In Machine Learning, Can Good Predictive Models also be Interpretable?

To learn more about machine learning methodologies, core concepts, practical applications, and how to leverage these techniques in your own research,...
Apr 12, 2024

What’s My Age Again? A Population Perspective on Biological Aging

To learn more about the latest methodologies and techniques for understanding and quantifying biological age, join Professor Lauren Gaydosh for Analysis...
Feb 27, 2024

A Family Affair: Rigorous Causal Inference Comes to Statistical Sociogenomics

In this post, Professor Daniel Adkins, Director of Biostatistics and instructor for the Introduction to Statistical Genetics course at Statistical Horizons,...
Feb 13, 2024

What Are Models and Why Should We Use Them to Understand Social Behavior?

As scientists, we try to increase our understanding of the world through research. We study objects and systems to learn about...
Dec 06, 2023

The Machine Learning Foundations of Artificial Intelligence

Bruce Desmarais’s Machine Learning seminar provides a comprehensive introduction to machine learning. You will walk away an understanding of the core concepts, practical...
Nov 27, 2023

Discrete Choice Analysis: What Our Choices Reveal about Preferences, Tradeoffs, and Alternatives

In this post, Professor Trenton Mize–who teaches several courses for Statistical Horizons–explains what discrete choice analysis is all about and why...
Sep 26, 2023