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Analysis of the Determinants of Mobile Money Adoption and Use: Evidence from Togo with Simple and Multivariate Probit Approaches
This study analyzes both the adoption and the use of mobile money (MM) services in Togo. More precisely, based on the Global Findex survey conducted...
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Determinants of market outlet choices by smallholder mango farmers in Aleta Chuko District, Sidama Region, Ethiopia: a multivariate probit approach
Selecting appropriate market outlets offer the opportunity for farmers to capture a bigger share of the price paid by final consumers. However,...
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Fast Multivariate Probit Estimation via a Two-Stage Composite Likelihood
The multivariate probit is popular for modeling correlated binary data, with an attractive balance of flexibility and simplicity. However,...
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Adoption of improved rice technologies in major rice producing areas of Ethiopia: a multivariate probit approach
BackgroundThe need for adopting improved rice technologies and practices has become more important in Ethiopia as the national self-sufficiency gap...
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Refining analytic approximation based estimation of mixed multinomial probit models by parameter selection
Applying analytic approximations for computing multivariate normal cumulative distribution functions has led to a substantial improvement in the...
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Scalable Bayesian p-generalized probit and logistic regression
The logit and probit link functions are arguably the two most common choices for binary regression models. Many studies have extended the choice of...
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Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data
Longitudinal studies have been conducted in various fields, including medicine, economics and the social sciences. In this paper, we focus on...
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Expectation Propagation for the Smoothing Distribution in Dynamic Probit
The smoothing distribution of dynamic probit models with Gaussian state dynamics was recently proved to belong to the unified skew-normal family....
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Globally and symmetrically identified Bayesian multinomial probit model
Bayesian multinomial probit models have been widely used to analyze discrete choice data. Existing methods have some shortcomings in parameter...
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Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning
Understanding how the adult human brain learns novel categories is an important problem in neuroscience. Drift-diffusion models are popular in such...
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Bayesian Analysis of Multivariate Matched Proportions with Sparse Response
Multivariate matched proportions (MMP) data appear in a variety of contexts including post-market surveillance of adverse events in pharmaceuticals,...
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A Bayesian method for multinomial probit model
The independence of irrelevant alternatives (IIA) property states that the ratio of any two choice probabilities in a set of alternatives is...
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Consistent EM algorithm for a spatial autoregressive probit model
This paper is concerned with the estimation of spatial autoregressive probit models, which are increasingly used in many empirical settings. Among...
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A multinomial probit analysis of shanghai commute mode choice
Commute trips account for a large portion of travel demand in peak hours and significantly influence the operation of urban transportation systems....
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Exploring Driver Injury Severity Using Latent Class Ordered Probit Model: A Case Study of Turkey
There have been limited efforts to study the severity of traffic crashes in Turkey. This study is probably the first attempt to investigate the...
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A New Nash-Probit Model for Binary Classification
The Nash equilibrium is used to estimate the parameters of a Probit binary classification model transformed into a multiplayer game. Each training...
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A flexible multiple discrete–continuous probit (MDCP) model: application to analysis of expenditure patterns of domestic tourists in India
Traditional multiple discrete–continuous (MDC) choice models impose tight linkages between consumers’ discrete choice and the continuous consumption...
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Bayesian analysis of multivariate ordered probit model with individual heterogeneity
In recent years, models incorporating heterogeneity among individuals have become increasingly popular in the analyses on subjective ordered choice...
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Binary and Ordinal Probit Regression: Applications to Public Opinion on Marijuana Legalization in the United States
This chapter presents an overview of a specific form of limited dependent variable models, namely, discrete choice models, where the dependent...