Nicola Marco Ortelli

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Specifying utility functions is a key step towards applying the discrete choice framework for understanding the behaviour processes that govern user choices. However, identifying the utility function specifications that best model and explain the observed ...

In the context of discrete choice modeling, the extraction of potential behavioral insights from large datasets is often limited by the poor scalability of maximum likelihood estimation. This paper proposes a simple and fast dataset-reduction method that i ...

Determining appropriate utility specifications for discrete choice models is time-consuming and prone to errors. With the availability of larger and larger datasets, as the number of possible specifications exponentially grows with the number of variables ...

The technological advancements of the past decades have allowed transforming an increasing part of our daily actions and decisions into storable data, leading to a radical change in the scale and scope of available data in relation to virtually any object ...

In recent years, the emergence of shared mobility services has created new opportunities for more flexible intermodal travel, but the behavioral barriers to their adoption remain poorly understood. Using stated-preference data collected in 2024 in Geneva, ...

In the field of choice modeling, the availability of ever-larger datasets has the potential to significantly expand our understanding of human behavior, but this prospect is limited by the poor scalability of discrete choice models (DCMs): as sample sizes ...

Nicola Marco Ortelli

Chat with Graph Search

Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models

Resampling estimation of discrete choice models

Assisted specification of discrete choice models

Discrete choice modeling in the era of big data

Public transport and (shared) bikes: intermodal transfer penalties from a stated-preference survey in Geneva

Faster estimation of discrete choice models via weighted dataset reduction

An integrated accident injury severity and risk-taking behavior model for the evaluation of Via Sicura

A conditional trust-region algorithm for the estimation of discrete choice models

Stochastic adaptive resampling for the estimation of discrete choice models

Variable Neighborhood Search for Assisted Utility Specification in Discrete Choice Models