I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, ...

The multinomial logit model with random coefficients is widely used in applied research. This paper is concerned with estimating a random coefficients logit model in which the distribution of each ...

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

Abstract: This paper proposes a method to develop the multinomial logit (MNL) model for a sequence of choices behavior that incorporates the probability of last choice in the current representative ...

This paper discusses the interpretative benefits that arise from merging the Dirichlet- multinomial (DM) model as a loyalty variable in the multinomial logit (MNL) model of brand choice. The estimated ...