This paper describes the use of backpropagation artificial neural networks to forecast travel demand from disaggregate discrete choice data and compares them with logit models. Three data sets are ...

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There’s a unique strength that derives from combining the warp and the weft. It’s that strength that Indigenous software company LOGiT Australia is seeking with its newly released weavr solution, ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...