Abstract: For a relatively small labeled dataset from high-dimensional generalized linear models with block-wise missing covariates and a large unlabeled dataset, we utilize a model-assisted approach ...

Abstract: We consider the problem of signal estimation in a generalized linear model (GLM). GLMs include many canonical problems in statistical estimation, such as ...

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...

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To create a behaviorally relevant representation of the visual world, neurons in higher visual areas exhibit dynamic response changes to account for the time-varying interactions between external (e.g ...

Large Language Models: Theory and Application debuted this fall at Yale SOM. The course teaches business students the fundamentals of LLMs and gives them the chance to build their own models. By Karen ...

This article illustrates how to build, in less than 5 minutes, a simple linear regression model with gradient descent. The goal is to predict a dependent variable (y) from an independent variable (X).

An interactive Shiny app to demonstrate the continuity in General Linear Models (GLM), created for Advanced Design and Data Analysis at the University of Melbourne.