Results 1 to 10 of about 116,197 (306)
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.
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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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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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Duality in Dynamic Discrete Choice Models [PDF]
SSRN Electronic Journal, 2015 Using results from convex analysis, we investigate a novel approach to identification and estimation of discrete choice models which we call the "Mass Transport Approach" (MTA). We show that the conditional choice probabilities and the choice-specific payoffs in these models are related in the sense of conjugate duality, and that the identification ...
Chiong, Khai X. +2 more
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Developing wine tourism experiences. A discrete choice analysis using best-worst scaling data
Wine Economics and Policy, 2022 The aim of this research is to aid winery managers in bundling a plethora of different service features to meet the wine tourists’ expectations. A discrete choice model using best-worst scaling (BWS) data is estimated to obtain the relative importance of
Giacomo Del Chiappa +2 more
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