Open AccessA Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression
Author(s) -
José Ángel Martín-Baos,
Ricardo Garćıa-Ródenas,
Luis Rodríguez-Benitez
Publication year - 2021
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2021.11.009
Subject(s) - python (programming language) , computer science , kernel density estimation , discrete choice , logit , logistic regression , software , transportation planning , data mining , econometrics , operations research , machine learning , statistics , mathematics , engineering , transport engineering , estimator , programming language , operating system
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom