GitHub

Multinomial regression working on University data to classify whether a candidate would be opting or being selected for Academic, General or Vocational

A University would like to effectively classify their students based on the program they are enrolled in. Perform multinomial regression on the given dataset and provide insights (in the documentation ...
GitHub

Multinomial Regression for Loan data set.py

df = df.drop(['id','member_id','term','grade','sub_grade','emp_title','emp_length','home_ownership','verification_status','issue_d','pymnt_plan','url','desc','purpose ...
Frontiers

Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm

Single-cell RNA sequencing technologies have enabled us to study tissue heterogeneity at cellular resolution. Fast-developing sequencing platforms like droplet-based sequencing make it feasible to ...
ifs.org.uk

Nonseparable multinomial choice models in cross-section and panel data

Multinomial choice models are fundamental for empirical modeling of economic choices among discrete alternatives. We analyze identification of binary and multinomial choice models when the choice ...
JSTOR Daily

Testing Goodness of Fit with Multinomial Data

Several new test procedures are proposed for assessing the goodness of fit of a postulated multinomial distribution. The new tests are Neyman smooth-type tests with orders selected adaptively from the ...
ifs.org.uk

Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties

It is common to rank different categories by means of preferences that are revealed through data on choices. A prominent example is the ranking of political candidates or parties using the estimated ...