The file household_dataset.csv contains data regarding a sample of 500 households randomly selected in a certain province. For these households, the following variables were obtained: 1) income – ...

pumBayes is an R package designed for Bayesian estimation of probit unfolding models (PUM) for binary preference data. The package is publicly available and can be cited using the following DOI: ...

Multivariate binary data arise in a variety of settings. In this article we propose a practical and efficient computational framework for maximum likelihood estimation of multivariate probit ...

The Annals of Applied Statistics, Vol. 15, No. 1 (March 2021), pp. 230-251 (22 pages) Inferring concerted changes among biological traits along an evolutionary history remains an important yet ...

and is the normal probability function. This is the likelihood function for a binary probit model. This likelihood is strictly positive so that you can take a square root of and use this as your ...

Abstract: Coffee culture is growing in popularity among Malaysians. Starbucks was up against a lot of competition in Malaysia because of the growing number of coffee brands and cafes. Hence, this ...

Abstract: The probit regression model is a model used to analyze the relationship between categorical response variables, with predictive variables that are numerical, categorical, or the combination ...