Virginie Janine Camille Lurkin

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We present a general framework to find ε-equilibrium solutions of oligopolistic markets in which demand is modeled at the disaggregate level using discrete choice models. Consumer choices are modeled according to random utility theory, and the choice proba ...

The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of data are well established, these have not yet been fully explored for the esti ...

Network planning models, which forecast the profitability of airline schedules, support many critical decisions, including equipment purchase decisions. Network planning models include an itinerary choice model that is used to allocate air total demand in ...

Oligopolistic competition occurs in various transportation markets. In this paper, we introduce a framework to find approximate equilibrium solutions of oligopolistic markets in which demand is modeled at the disaggregate level using discrete choice models ...

Virginie Janine Camille Lurkin

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A disaggregate choice-based approach to find ε-equilibria of oligopolistic markets

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Accounting for Price Endogeneity in Airline Itinerary Choice Models: An Application to Continental U.S. Markets

A Simulation-Based Heuristic to Find Approximate Equilibria with Disaggregate Demand Models

Enhancing Discrete Choice Models with Neural Networks

Computational methods for estimating multinomial, nested, and cross-nested logit models that account for semi-aggregate data

Modelling competition in demand-based optimization models

Introduction to Disaggregate Demand Models

Incorporating competition in demand-based optimization models

Modeling competition among airline itineraries