Climate models are essential tools for understanding and predicting our planet, but accurately setting their many internal parameters is complex and has been a labor-intensive manual task in the past.

In previous work, thresholds have been introduced to describe situations where the consumer is indifferent between any two alternatives. Krishnan (1977) formalised thresholds as minimum perceivable ...

Oyama, Y., Murakami, D., Krueger, R. (2024) A hierarchical Bayesian logit model for spatial multivariate choice data. Journal of Choice Modelling 52: 100503. If you find this code useful, please cite ...

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Objective: Fatal road accidents are statistically rare, posing challenges for accurate estimation through the classic logit model (LM). This study seeks to validate the efficacy of a rare events ...

Risk prediction models can translate genetic association findings for clinical decision-making. Most models are evaluated on their ability to discriminate, and the calibration of risk-prediction ...

Personal Rapid Transit (PRT) is an efficient rapid transit system which provides the last mile connectivity to the users with a high level of reliability and comfort. This paper is focused on the ...

ABSTRACT: Mode choice is important in shipping commodities efficiently. This paper develops a binary logit model and a regression model to study the cereal grains movement by truck and rail in the ...