The purpose of this article is to investigate the role of norms and convenience for households' packaging waste sorting activities. The theoretical point of departure is a simple economic model that ...

This repository is associated with the article Fasano and Rebaudo (2021). Variational inference for the smoothing distribution in dynamic probit models. The key contribution of the paper is outlined ...

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 correlations ...

Data Generation Function: Simulates datasets suitable for Ordinal Probit Regression Model. Model Fitting + AIC-Based Variable Selection Model Fitting + BIC-Based Variable Selection Model Fitting + ...

Probit ("probability unit") regression is a classical machine learning technique that can be used for binary classification -- predicting an outcome that can only be one of two discrete values. For ...

This study employs a spatial autoregressive probit-log linear (SAP-Log) hurdle model to investigate the influencing factors on the probability of death and case fatality rate (CFR) of coronavirus ...

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 ...

This study discusses on the identification of the tourists’ destination satisfaction attributes and the influence of these factors on their revisit intention to Nepal. This study used the survey ...