Bayesian analysis of dichotomous quantal response models

Citations

Cited by:

1. A. M. Abd El-Raheem & M. H. Abu-Moussa & Marwa M. Mohie El-Din & E. H. Hafez, 2020. "Accelerated Life Tests under Pareto-IV Lifetime Distribution: Real Data Application and Simulation Study," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
2. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," Papers 2402.05030, arXiv.org, revised Nov 2024.
3. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
4. Ponce, Aldo F, 2013. "What Do Parties Do in Congress? Explaining the Allocation of Legislative Specialization," MPRA Paper 46573, University Library of Munich, Germany.
5. Gabriele B. Durrant & Chris Skinner, 2006. "Using data augmentation to correct for non‐ignorable non‐response when surrogate data are available: an application to the distribution of hourly pay," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 605-623, July.
6. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.
7. Mittelhammer, Ron C. & Judge, George, 2011. "A family of empirical likelihood functions and estimators for the binary response model," Journal of Econometrics, Elsevier, vol. 164(2), pages 207-217, October.
8. Marsh, L.C.Lawrence C., 2004. "The econometrics of higher education: editor's view," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 1-18.
9. Peter Haan & Daniel Kemptner & Arne Uhlendorff, 2015. "Bayesian procedures as a numerical tool for the estimation of an intertemporal discrete choice model," Empirical Economics, Springer, vol. 49(3), pages 1123-1141, November.
10. Min, Chung-ki, 1998. "A Gibbs sampling approach to estimation and prediction of time-varying-parameter models," Computational Statistics & Data Analysis, Elsevier, vol. 27(2), pages 171-194, April.
11. Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2008. "Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4608-4624, June.
12. Peter E. Rossi, 1984. "Convergence of Integrals Encountered in Dichotomous Dependent Variable Problems," Discussion Papers 588, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
13. Fruhwirth-Schnatter, Sylvia & Fruhwirth, Rudolf, 2007. "Auxiliary mixture sampling with applications to logistic models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3509-3528, April.
14. Edsel A. Peña & Wensong Wu & Walter Piegorsch & Ronald W. West & LingLing An, 2017. "Model Selection and Estimation with Quantal‐Response Data in Benchmark Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 716-732, April.
15. DeSarbo, Wayne S. & Kim, Youngchan & Fong, Duncan, 1998. "A Bayesian multidimensional scaling procedure for the spatial analysis of revealed choice data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 79-108, November.
16. Vijverberg, Wim P. M., 1997. "Monte Carlo evaluation of multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 281-307.
17. Groenewald, Pieter C. N. & Mokgatlhe, Lucky, 2005. "Bayesian computation for logistic regression," Computational Statistics & Data Analysis, Elsevier, vol. 48(4), pages 857-868, April.
18. Poirier, Dale J., 1996. "A Bayesian analysis of nested logit models," Journal of Econometrics, Elsevier, vol. 75(1), pages 163-181, November.
19. Xiaobin Yang & Keying Ye & Yanping Wang, 2011. "A Study of the Probit Model with Latent Variables in Phase I Clinical Trials," Working Papers 0030, College of Business, University of Texas at San Antonio.
20. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.
21. Johan Koskinen & Sten-Ã…ke Stenberg, 2012. "Bayesian Analysis of Multilevel Probit Models for Data With Friendship Dependencies," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 203-230, April.
22. Posch Peter N. & Loeffler Gunter & Schoene Christiane, 2005. "Bayesian Methods for Improving Credit Scoring Models," Finance 0505024, University Library of Munich, Germany.
23. Poirier, Dale J., 2012. "Perfect classifiers in partial observability bivariate probit," Economics Letters, Elsevier, vol. 116(3), pages 361-362.
24. Aristide Houndetoungan & Abdoul Haki Maoude, 2024. "Inference for Two-Stage Extremum Estimators," THEMA Working Papers 2024-01, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
25. Stuart R. Lipsitz & Garrett M. Fitzmaurice & Roger D. Weiss, 2020. "Using Multiple Imputation with GEE with Non-monotone Missing Longitudinal Binary Outcomes," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 890-904, December.
26. Hop, J. P. & van Duk, H. K., 1990. "Two Algorithms For The Computation Of Posterior Moments And Densities Using Monte Carlo Integration," Econometric Institute Archives 272483, Erasmus University Rotterdam.
27. Naranjo, L. & Martín, J. & Pérez, C.J., 2014. "Bayesian binary regression with exponential power link," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 464-476.
28. Marsh, L.C.Lawrence C. & Zellner, Arnold, 2004. "Bayesian solutions to graduate admissions and related selection problems," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 405-426.
29. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
30. Xiaoyong Li & Giuseppe T. Cirella & Yali Wen & Yi Xie, 2020. "Farmers’ Intentions to Lease Forestland: Evidence from Rural China," Land, MDPI, vol. 9(3), pages 1-18, March.