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Testing different stochastic specifications of risky choice
Loomes, Graham; Sugden, Robert - In: Economica 65 (1998), pp. 581-598
Persistent link: https://www.econbiz.de/10001443386
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The predictive utility of generalized expected utility theories
Harless, David W. - In: Econometrica : journal of the Econometric Society, an … 62 (1994) 6, pp. 1251-1289
Persistent link: https://www.econbiz.de/10001173444
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Bootstrapped insights into empirical applications of stochastic dominance
Nelson, Ray D. - In: Management science : journal of the Institute for … 37 (1991) 9, pp. 1182-1194
Persistent link: https://www.econbiz.de/10001112398
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A smoothed maximum score estimator for the binary response model
Horowitz, Joel - In: Econometrica : journal of the Econometric Society, an … 60 (1992) 3, pp. 505-531
Persistent link: https://www.econbiz.de/10001125724
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A method for smoothing simulated moments of discrete probabilities in multinomial probit models
Stern, Steven N. - In: Econometrica : journal of the Econometric Society, an … 60 (1992) 4, pp. 943-952
Persistent link: https://www.econbiz.de/10001129057
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Nonparametric applications of Bayesian inference
Chamberlain, Gary; Imbens, Guido - 1996
Persistent link: https://www.econbiz.de/10000945157
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Partition dependence and carryover biases in subjective probability assessment surveys for continuous variables : model-based estimation and correction
Prava, Venkata R.; Clemen, Robert Taylor; Hobbs, … - In: Decision analysis : a journal of the Institute for … 13 (2016) 1, pp. 51-67
Persistent link: https://www.econbiz.de/10011482265
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Nonparametric applications of Bayesian inference
Chamberlain, Gary; Imbens, Guido - 1996
Persistent link: https://www.econbiz.de/10000944072
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Nonparametric Applications of Bayesian Inference
Chamberlain, Gary; Imbens, Guido W. - 2021
predictive distribution incorporates the parameter uncertainty, so that it is relevant for decision making under uncertainty in …
Persistent link: https://www.econbiz.de/10013218983
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Optimizing the multistage university admission decision process
Kim, Donghyun; Kim, Namyong; Cho, Junoh; Shin, Hayong - In: INFORMS journal on applied analytics 49 (2019) 6, pp. 422-429
Persistent link: https://www.econbiz.de/10012147336