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Cooking fuel choices of households in urban areas in Uganda: a multinomial probit regression analysis

International Journal of Building Pathology and Adaptation, 2021
PurposeThis study explores the economic and sociodemographic factors that influence households' decisions on the type of fuel used for cooking in urban areas in Uganda.Design/methodology/approachIn total, two cross-section data surveyed by the Uganda ...
Joseph Elasu   +2 more
semanticscholar   +1 more source

Investigation of Alcohol Consumption Determinants in Turkey With Multinomial Probit Model

, 2020
The main objective of this study is to determine key factors that may have a significant effect on alcohol consumption in Turkey. For this purpose, the cross-sectional data obtained from the Turkish Health Survey conducted in 2010 and 2012 by the Turkish
Ö. Alkan, İkram Yusuf Yarbaşı
semanticscholar   +1 more source

Multinomial Probit: Probability Simulators and Identification

Social Science Research Network, 2019
The paper introduces four unbiased probability-simulators which produce continuous (simulated) log-likelihood functions with almost everywhere continuous derivatives.
Alessandro Palandri
semanticscholar   +1 more source

Can migraine be triggered by unemployment in France? A Bi-Probit/Multinomial probit approach

Applied Economics
Migraine is a major public health issue with massive human, économic and social costs, particularly for women. However, the effects of the labour market on this disease are to date little studied.
Thibault Brodaty
semanticscholar   +1 more source

Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification

Communications in Statistics - Theory and Methods, 2018
In this paper we introduce a sparse Bayesian kernel multinomial probit regression model for multi-class cancer classification. The relationship between the cancer types and gene expression measurements is explained by an unknown function which belongs to
Aijun Yang   +3 more
semanticscholar   +1 more source

Globally and symmetrically identified Bayesian multinomial probit model

Statistics and computing, 2023
Maolin Pan   +3 more
semanticscholar   +1 more source

A Bayesian method for multinomial probit model

Journal of the Korean Statistical Society, 2022
Donghyun Koo, C. Kim, Keunbaik Lee
semanticscholar   +1 more source

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