This is an R / Python package for fitting multinomial probit (MNP) models, a form of generalized linear regression model for multi-class classification. It uses a fast approximation for the CDF of ...
In this paper, we introduce a new flexible mixed model for multinomial discrete choice where the key individual- and alternative-specific parameters of interest are allowed to follow an ...
This work studies the Bayesian formulation of G computation algorithm, and incorporates Bayesian additive regression trees (BART) into the generative components of the causal framework for posterior ...
ABSTRACT: The logistic normal distribution has recently been adapted via the transformation of multivariate Gaussian variables to model the topical distribution of documents in the presence of ...
The Clark approximation, in which the maximum of two normally distributed random variables is approximated by a third normally distributed random variable, forms the basis of a relatively inexpensive ...
ABSTRACT: The lack of efficient application of transportation planning process in developing cities, such as Gaza, leads to deficiency in adopting the suitable transport policies to mitigate the ...
Abstract: In this paper, we estimate a multinomial probit model of commuter mode choice using the Bayesian approach with Gibbs sampling. This method constructs a Markov chain Gibbs sampler that can be ...
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