Mitigating the impact of outliers in traffic crash analysis: A robust Bayesian regression approach with application to tunnel crash data
Traffic crash datasets are often marred by the presence of anomalous data points, commonly
referred to as outliers. These outliers can have a profound impact on the results obtained …
referred to as outliers. These outliers can have a profound impact on the results obtained …
Eliciting preferences of Indians for air travel during COVID-19 pandemic
The COVID-19 pandemic has changed air travel like never before. Airlines are rebuilding
consumer confidence by taking several measures, such as providing luggage sanitation and …
consumer confidence by taking several measures, such as providing luggage sanitation and …
Ordered probit Bayesian additive regression trees for ordinal data
J Lee, BS Hwang - Stat, 2024 - Wiley Online Library
Bayesian additive regression trees (BART) is a nonparametric model that is known for its
flexibility and strong statistical foundation. To address a robust and flexible approach to …
flexibility and strong statistical foundation. To address a robust and flexible approach to …
[HTML][HTML] Decision field theory: An extension for real-world settings
TO Hancock, S Hess, CF Choudhury… - Journal of Choice …, 2024 - Elsevier
Decision field theory (DFT) is a model originally developed in cognitive psychology to
explain behavioural phenomena such as context effects and decision-making under time …
explain behavioural phenomena such as context effects and decision-making under time …