Name
Title | ||
|---|---|---|
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models |
Abstract | ||
|---|---|---|
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 choices can be a very challenging and time-consuming task. This paper seeks to help modellers by leveraging the Bayesian framework and the conce... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TITS.2020.3031965 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Bayes methods,Stochastic processes,Biological system modeling,Approximation algorithms,Inference algorithms,Feature extraction,Computational modeling | Journal | 23 |
Issue | ISSN | Citations |
4 | 1524-9050 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Filipe Rodrigues | 1 | 50 | 5.28 |
| Nicola Ortelli | 2 | 0 | 0.34 |
| Michel Bierlaire | 3 | 0 | 0.34 |
| Francisco C. Pereira | 4 | 331 | 33.07 |