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.
Results
Showing 1 to 20 of 219 for “"discrete choice"”.
-
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 …
-
Ranked personalized recommendations using discrete choice models
Personalized recommendation modules have become an integral part of most consumer information systems. Whether you are looking for a movie to watch, a restaurant to dine, or a news article to read, the number of available option has exploded significantly. Furthermore, the commensurate growth in …
-
Transportation networks equilibration with discrete choice models.
Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Civil Engineering.
-
Choice set formulation for discrete choice models
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1980.
-
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 …
-
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 …
-
Tractable multi-product pricing under discrete choice models
We consider a retailer offering an assortment of differentiated substitutable products to price-sensitive customers. Prices are chosen to maximize profit, subject to inventory/ capacity constraints, as well as more general constraints. The profit is not even a quasi-concave function of the prices …
-
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. …
-
Modelling choice set formation in discrete choice models
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1989.
-
Analysis of Discrete Choice Probit Models with Structured Correlation Matrices
<p>Discrete choice models are very popular in Economics and the conditional logit model is the most widely used model to analyze consumer choice behavior, which was introduced in a seminal paper by McFadden (1974). This model is based on the assumption that the unobserved factors, which determine …
-
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 …
-
Modeling heterogeneity in discrete choice proceses : application to travel demand
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995.
-
Dynamic, personalized discrete choice incentive allocation to optimize system performance
… a powerful way to get independent agents to make choices that drive a system to a desired optimum. Simply offering compensation for making a certain choice is enough to change the behavior of some people. If you incentivize the right choices, you can get closer to your desired choice-dependent …
-
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 …
-
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 …
-
DISCRETE CHOICE UNDER SPATIAL DEPENDENCE AND A MODEL OF INTERDEPENDENT PATENT RENEWALS
… I develop a theoretical model of interdependent choices and an estimation strategy which I apply to model patent renewal. The model and the estimation are not confined to my application, but rather can have other applications in which firms or people are making strategic and simultaneous …
-
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 …
-
A discrete choice model of housing selection by low-income urban renters
… quality and crowding as elements in a choice set facing low-income urban renters, (2) identify the demographic, socioeconomic and regional factors which influence housing outcomes, (3) use the resulting model to estimate the probability that an individual household faces a particular …
-
Dynamic Discrete Choice Estimation using Reinforcement Learning with Applications in Online Food Markets
Dynamic Discrete Choice (DDC) models are widely used to analyze sequential decision-making in economics and marketing. However, their estimation remains computationally challenging, especially as state spaces expand, limiting their application to large-scale consumer datasets. This thesis develops …
-
Incorporating unobservable heterogeneity in discrete choice model : mode choice model for shopping trips
… for incorporating attitudinal data in a choice model to capture unobservable heterogeneity across the population. The key features of this approach are, 1) the concept of latent attitudes, and the assumption that 2) the respondent's answers to psychometric attitudinal questions relating …
Page 1 of 11