Posts by Collection

publications

Estimation of choice-based models using sales data from a single firm

Published in Manufacturing & Service Operations Management, 2014

We develop a parameter estimation routine for multinomial logit discrete choice models in which one alternative is completely censored.

Recommended citation: Newman, J. P., Ferguson, M. E., Garrow, L. A., & Jacobs, T. L. (2014). "Estimation of choice-based models using sales data from a single firm." Manufacturing & Service Operations Management, 16(2), 184-197. https://pdfs.semanticscholar.org/bae1/9d9e9b31adda9400058886502073488b2ebb.pdf

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

Published in Journal of Choice Modelling, 2018

We present a summary of important computational issues and opportunities that arise from the use of semi-aggregate data (where the explanatory data for choice scenarios are not necessarily unique for each decision-maker) in discrete choice models.

Recommended citation: Newman, J. P., Lurkin, V., & Garrow, L. A. (2018). "Computational methods for estimating multinomial, nested, and cross-nested logit models that account for semi-aggregate data." Journal of choice modelling, 26, 28-40. https://www.sciencedirect.com/science/article/abs/pii/S1755534517300179

software

TMIP-EMAT

A framework for exploratory modeling using transportation models.

Larch

A python package for discrete choice models.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.