y ik) can be modeled by the multinomial distribution, defined in the "Response Probability Distributions" section, with . The multinomial model is an ordinal model if the categories have a natural ...

We show how a multinomial logit model framework may be used to model such decisions in a way that permits a tight integration of theory and econometrics. Conditions are given under which aggregate ...

The package provides the function multinomINLA() for fitting multinomial models in a simple and straightforward way, using the same syntax as e.g. nnet::multinom(). Since INLA cannot handle ...

This project focuses on the classification of seven distinct types of dry beans using a multinomial logistic regression model. The dataset encompasses features related to the beans' form, size, shape, ...

If you want to analyze how a categorical predictor variable affects a categorical outcome variable, you might use multinomial regression. This is a type of regression that allows you to model the ...

Findings on neonatal gut microbiota reveal key Bifidobacteria species driving microbiome assembly and their potential in ...

Abstract: Multinomial logistic regression provides the standard penalised maximumlikelihood solution to multi-class pattern recognition problems. More recently, the development of sparse multinomial ...

在浩瀚的古诗词海洋中，琳琅满目的佳句常常让人陶醉，但很多人却难以记住每一句的作者。当人们欣赏这些优美的诗句时，常常会想起那位才华横溢的作者，却苦于无法准确识别他的作品。为了解决这一难题，行空板引入了MultinomialNB模型——一种用于文本分类的 ...

The study suggested that excessive abdominal adipose tissue may be involved in the pathogenesis of multisite and widespread ...

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 ...

Background Following California’s statewide law prohibiting the sale of flavoured tobacco products, some cigarette brands ...