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Semiparametric Estimation of Dynamic Discrete-Choice Models [PDF]
SSRN Electronic Journal, 2016 We consider the estimation of dynamic discrete choice models in a semiparametric setting, in which the per-period utility functions are known up to a finite number of parameters, but the distribution of utility shocks is left unspecified.
Buchholz, Nicholas +2 more
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Surrogate Residuals for Discrete Choice Models. [PDF]
J Comput Graph Stat, 2021 Discrete choice models (DCMs) are a class of models for modeling response variables that take values from a set of alternatives. Examples include logistic regression, probit regression, and multinomial logistic regression. These models are also referred together as generalized linear models. Although there exist methods for the goodness of fit of DCMs,
Cheng C, Wang R, Zhang H.
europepmc +4 more sources
Accommodating exogenous variable and decision rule heterogeneity in discrete choice models: Application to bicyclist route choice. [PDF]
PLoS ONE, 2018 The proposed research contributes to our understanding of incorporating heterogeneity in discrete choice models with respect to exogenous variables and decision rules.
Bibhas Kumar Dey +3 more
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Urbani Izziv, 2006 The paper systematically describes special regression methods – discrete choice models – known as probability models. The meaning of models and their methodological characteristics are described, as well as different types of models, especially binary ...
Boštjan Kerbler
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ORCH: many analyses, one merge—a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing [PDF]
Frontiers in Artificial IntelligenceIntroductionMulti-agent/ensemble approaches can improve discrete-choice reasoning with large language models, but common orchestration methods are often non-deterministic, expensive, and difficult to reproduce.
Hanlin Zhou, Hanlin Zhou, Huah Yong Chan
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Applied Welfare Economics with Discrete Choice Models [PDF]
Econometrica, 1981 Economists have been paying increasing attention to the study of situations in which consumers face a discrete rather than a continuous set of choices.
Harvey S. Rosen, Kenneth A. Small
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Path Choice Models in Stochastic Assignment: Implementation and Comparative Analysis
Frontiers in Future Transportation, 2022 In assignment models, a key role is played by the path choice simulation that evaluates the path chosen by users in relation to the perceived paths and relative costs.
Massimo Di Gangi, Antonio Polimeni
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Analysis of secularization in Brazil [PDF]
Revista Brasileira de Estudos de População, 2019 This paper analyzes whether Brazil is experiencing a religious secularization process using data from Brazil Religion Survey conducted in 2007. Models of discrete choice are estimated to understand which individual attributes affect disaffiliation ...
Caroline Carvalho, Guilherme Irffi
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Recurrence and Eigenfunction Methods for Non-Trivial Models of Discrete Binary Choice
Entropy, 2023 Understanding how systems relax to equilibrium is a core theme of statistical physics, especially in economics, where systems are known to be subject to extrinsic noise not included in simple agent-based models.
James Holehouse
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Decisional processing on parking behavior in entropic settings [PDF]
Archives of Transport, 2017 This paper surveys the most recent advances in the context of decisional processing with focusing on the parking behavior in entropic settings, including the measures and the necessary mechanisms for the interaction of the actors-players, and their ...
Moreno Ferrarese
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