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 their properties and behaviors. Or do we? The post What Are Models and Why...
View ArticleA 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, delves into recent debates surrounding...
View ArticleWhat’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 of Biological Aging, March 14-16. Have you ever...
View ArticleIn 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, join Professor Bruce Desmarais for Machine Learning...
View ArticleGood to Go? When to Stop Developing a Machine Learning Pipeline and Start...
Gain hands-on experience with machine learning tools and methodologies in Machine Learning, taught by Professor Desmarais. You’ll deepen your understanding of how machine learning can be applied to...
View ArticleIf 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 Lauren Gaydosh for Analysis of Biological Aging on June 10-13. Everybody...
View ArticleThe 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 Machine Learning and Advanced Machine Learning, both taught by...
View ArticleSupercharge 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 seminar equips researchers to tackle complex...
View ArticleMaking 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 on September 18-20. Or, expand your foundational knowledge with...
View ArticleTime 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 Time...
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