Generalized multinomial probit Model: Accommodating constrained random parameters

Transportation Research Part B Methodological ◽

10.1016/j.trb.2018.10.019 ◽

2018 ◽

Vol 118 ◽

pp. 248-262 ◽

Author(s):

Rajesh Paleti

Keyword(s):

Probit Model ◽

Multinomial Probit ◽

Random Parameters ◽

Multinomial Probit Model

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Valuing drinking water quality improvement using a Bayesian analysis of the multinomial probit model

Applied Economics Letters ◽

10.1080/13504850500447299 ◽

2007 ◽

Vol 14 (4) ◽

pp. 255-259 ◽

Author(s):

Chung-Ki Lee ◽

Seung-Jun Kwak

Keyword(s):

Water Quality ◽

Drinking Water ◽

Quality Improvement ◽

Bayesian Analysis ◽

Probit Model ◽

Drinking Water Quality ◽

Multinomial Probit ◽

Water Quality Improvement ◽

Multinomial Probit Model

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Statistical Aspects of Multinomial Probit Model Calibration

Multinomial Probit ◽

10.1016/b978-0-12-201150-4.50008-6 ◽

1979 ◽

pp. 84-123 ◽

Author(s):

Carlos Daganzo

Keyword(s):

Model Calibration ◽

Probit Model ◽

Multinomial Probit ◽

Multinomial Probit Model

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Scalable Bayesian Estimation in the Multinomial Probit Model

Journal of Business and Economic Statistics ◽

10.1080/07350015.2021.1961788 ◽

2021 ◽

pp. 1-13

Author(s):

Rubén Loaiza-Maya ◽

Didier Nibbering

Keyword(s):

Bayesian Estimation ◽

Probit Model ◽

Multinomial Probit ◽

Multinomial Probit Model

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Stata Tip 115: How to properly Estimate the Multinomial Probit Model with Heteroskedastic Errors

The Stata Journal Promoting communications on statistics and Stata ◽

10.1177/1536867x1301300215 ◽

2013 ◽

Vol 13 (2) ◽

pp. 401-405

Author(s):

Michael Herrmann

Keyword(s):

Probit Model ◽

Multinomial Probit ◽

Multinomial Probit Model

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A multinomial probit model of stochastic evolution

Journal of Economic Theory ◽

10.1016/s0022-0531(03)00069-3 ◽

2003 ◽

Vol 113 (2) ◽

pp. 286-301 ◽

Author(s):

David P. Myatt ◽

Chris Wallace

Keyword(s):

Probit Model ◽

Multinomial Probit ◽

Stochastic Evolution ◽

Multinomial Probit Model

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Bayesian variable selection in multinomial probit model for classifying high-dimensional data

Computational Statistics ◽

10.1007/s00180-014-0540-z ◽

2014 ◽

Vol 30 (2) ◽

pp. 399-418 ◽

Author(s):

Aijun Yang ◽

Yunxian Li ◽

Niansheng Tang ◽

Jinguan Lin

Keyword(s):

Variable Selection ◽

High Dimensional Data ◽

Probit Model ◽

Bayesian Variable Selection ◽

High Dimensional ◽

Multinomial Probit ◽

Multinomial Probit Model

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A Bayes multinomial probit model for random consumer-surplus maximization

Journal of Choice Modelling ◽

10.1016/j.jocm.2015.09.007 ◽

2016 ◽

Vol 21 ◽

pp. 56-59

Author(s):

Esther Chiew ◽

Ricardo A. Daziano

Keyword(s):

Consumer Surplus ◽

Probit Model ◽

Multinomial Probit ◽

Multinomial Probit Model

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Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model

European Journal of Operational Research ◽

10.1016/j.ejor.2010.10.038 ◽

2011 ◽

Vol 211 (1) ◽

pp. 130-138 ◽

Author(s):

Yu-Hsin Liu

Keyword(s):

Maximum Likelihood ◽

Scatter Search ◽

Probit Model ◽

Maximum Likelihood Estimates ◽

Multinomial Probit ◽

Threshold Accepting ◽

Multinomial Probit Model

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Alternative Computational Approaches to Inference in the Multinomial Probit Model

10.21034/sr.170 ◽

1994 ◽

Author(s):

John Geweke ◽

Michael P. Keane ◽

David Edward Runkle

Keyword(s):

Probit Model ◽

Multinomial Probit ◽

Computational Approaches ◽

Multinomial Probit Model

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Health, Children, and Elderly Living Arrangements: A Multiperiod-Multinomial Probit Model with Unobserved Heterogeneity and Autocorrelated Errors

10.3386/w3343 ◽

1990 ◽

Author(s):

Axel Borsch-Supan ◽

Vassilis Hajivassiliou ◽

Laurence Kotlikoff ◽

John Morris

Keyword(s):

Living Arrangements ◽

Unobserved Heterogeneity ◽

Probit Model ◽

Multinomial Probit ◽

Multinomial Probit Model ◽

Autocorrelated Errors ◽

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