Abstract: We introduce a new class of methods and inference techniques for infinite mixtures of Inverse Gaussian, Multinomial Probit and Exponential Regression, models that belong to the widely ...

Logistic regression is the primary analysis tool for binary traits in genome-wide association studies (GWAS). Multinomial regression extends logistic regression to multiple categories. However, many ...

This project implements logistic multinomial regression with cross-validation for classification tasks. The algorithm uses batch gradient descent for optimization and includes features like parameter ...

Abstract: It is well known in the statistics literature that augmenting binary and polychotomous response models with gaussian latent variables enables exact Bayesian analysis via Gibbs sampling from ...

# 2. Work on each feature of the dataset to create a data dictionary as displayed in the below image: # Make a table as shown above and provide information about the features such as its data type and ...