Course TopicsGenerally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used ...

Asymmetric interactions between different species of molecules have previously been demonstrated to result in self-organized ...

The demo creates and trains a linear regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for the first training item x = ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

This paper develops a class of models to deal with missing data from longitudinal studies. We assume that separate models for the primary response and missingness (e.g., number of missed visits) are ...

Tue Gørgens a, Chirok Han b, Sen Xue c, Moment Restrictions and Identification in Linear Dynamic Panel Data Models, Annals of Economics and Statistics, No. 134 (June 2019), pp. 149-176 ...

The Hatch Rate Prediction Model is a critical component of our Indigenous Smart Incubator, which uses machine learning ...