Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 79 for “"Discrete choice models"”.
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Neural-embedded discrete choice models
… the possible value of integrating theory-based discrete choice models (DCM) and data-driven neural networks. How to benefit from the strengths of both is the overarching question. I propose hybrid structures and strategies to flexibly represent taste heterogeneity, reduce potential biases, and …
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Ranked personalized recommendations using discrete choice models
… a large subset of the so called Random Utility Models (RUM). Building on the insight from the single ranking case, we handle the multiple ranking scenario using a mixture of Multi-Nomial Logit models. We then provide a theoretical illustration of the difficulty in learning models from this …
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Transportation networks equilibration with discrete choice models.
Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Civil Engineering.
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Choice set formulation for discrete choice models
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1980.
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Behaviorally-Informed Discrete Choice Models in Operations Management
This thesis advances choice-based Revenue Management by integrating behavioral realism into analytical models of pricing and assortment optimization. Traditional discrete choice models (DCMs) simplify customer behavior by assuming that greater variety always increases purchase likelihood, that …
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Online discrete choice models : applications in smart mobility
Discrete choice models have been widely applied in different fields to better understand behavior and forecast market shares. Because of their ability to capture taste heterogeneity, logit mixture models have gained increasing interest among researchers and practitioners. However, since the …
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Tractable multi-product pricing under discrete choice models
… three important, more general families of demand models. Generalized attraction (GA) models broaden the range of nonlinear responses to changes in price. We propose a reformulation of the pricing problem over demands (instead of prices) which is convex. We show that the constrained problem under …
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Use of discrete choice models with recommender systems
… In this dissertation, we investigate the use of discrete choice models as a radically new technique for giving personalized recommendations. Discrete choice modeling allows the integration of item and user specific data as well as contextual information that may be crucial in some applications. …
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Modelling choice set formation in discrete choice models
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1989.
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Empirical Studies of Discrete Choice Models in Health, Fertility, and Voting
Almost everything that we do involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals with the purpose of gaining a better understanding of how choices are made and also to …
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Extended discrete choice models : integrated framework, flexible error structures, and latent variables
Discrete choice methods model a decision-maker's choice among a set of mutually exclusive and collectively exhaustive alternatives. They are used in a variety of disciplines (transportation, economics, psychology, public policy, etc.) in order to inform policy and marketing decisions and to better …
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Theory-constrained Data-driven Model Selection, Specification, and Estimation: Applications in Discrete Choice Models
… to the specification and model selection of discrete choice models; while, at the same time, maintaining usability for analysis. Assumptions brought to bear under the classical theory-based paradigm enjoy varying degrees of credibility. Some are rooted in economic theory (e.g., utility …
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Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
… in the contexts of deep neural network (DNN) and discrete choice models (DCM). The author firstly operationalizes computational fairness by equality of opportunity, then differentiates between the bias inherent in data and the bias introduced by modeling. The models inheriting the inherent biases …
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Data-driven modeling of the airport runway configuration selection process using maximum likelihood discrete-choice models
… runway configuration. This paper identifies a discrete-choice model of the configuration selection process from empirical data. The model reflects the importance of various factors in terms of a utility function. Given the weather, traffic demand and the current runway configuration, the model …
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Advances in Applied Econometrics: Binary Discrete Choice Models, Artificial Neural Networks, and Asymmetries in the FAST Multistage Demand System
… statistical foundations of statistical models with binary dependent variables. (ii) using feed-forward backpropagation artificial neural networks for modeling dichotomous choice processes, and (iii) the estimation of unconditional demand elasticities using the flexible multistage demand …
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Methodology for the definition of a sytem of actions based on the use of discrete choice models, for the renewal of historic centres through the consideration of the needs of local communities. A case study concerning the city of Cagliari.
Nowadays, conservation of old town centres is one of the main goals of several planning processes. For this reason, planning and historic centres' preservation can be considered synergetic concept (Frank &Petersen, 2002) and activities. Old city centres lost the role of residence and centres of …
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Describing local community acceptance with discrete choice theory for enhanced community engagement
… determinants of local community acceptance using discrete choice theory. Specifically, the goals were to: (1) Identify, classify, and verify the important project characteristics and key demographic factors which affect local community acceptance of a mining project; (2) Account for the large …
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Addressing endogeneity in residential location models
Some empirical residential location choice models have reported dwelling-unit price estimated parameters that are small, not statistically significant, or even positive. This would imply that households are non-sensitive to changes in dwelling unit prices or location taxes, which is not only …
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Methods for Analyzing Attribute-Level Best-Worst Discrete Choice Experiments
<p>Discrete choice experiments (DCEs) have applications in many areas such as social sciences, economics, transportation research, health systems, and clinical decisions to mention a few. Usually discrete choice models (DCMs) focus on predicting the product choice; however, these models do not …
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Discrete Choice-based Equilibrium Modeling of Supply Chain Network with Conflicting Objectives and Demand Uncertainty
… in a supply chain network. In particular, discrete choice models are introduced into supply chain equilibrium models to bridge the conflicting objective decision-making in supply chains and customer preference. Furthermore, numerical examples are provided for model illustration, managerial …
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