JP Lalor, P Rodriguez - INFORMS Journal on Computing, 2023 - pubsonline.informs.org
py-irt is a Python library for fitting Bayesian item response theory (IRT) models. At present, there is no Python package for fitting large-scale IRT models. py-irt estimates latent traits of …
A persistently pressing issue identified in the decision‐making literature is that people not only fail to recognize the risks entailed in a near‐loss event but also subsequently engage in …
A Rose - Handbook on the Economics of Disasters, 2022 - elgaronline.com
Many disasters generate dread and fear among the directly affected population and often also among those who believe they may be subsequently affected by the current or a similar …
JL Guyse, CH Huynh, LR Keller, J Simon - Behavioral Decision Analysis, 2024 - Springer
The classic normative model for intertemporal preferences uses a constant discount rate, but behavioral experiments have shown that people do not tend to make choices consistent with …
Near-miss events are a topic of increasing interest, motivated by a growing body of literature showing that these events are often not perceived as a sign of warning, but may lead to …
J Cui, H Rosoff, RS John - Applied Risk Analysis for Guiding …, 2021 - Wiley Online Library
This chapter focuses on responses to near‐miss experiences in a cyber environment involving negative consequences (eg loss of data, credit card fraud) that could have …
Near-miss experiences have been identified as a contributing factor in responses to risk of disaster events. Previous research suggested that different near-miss events could lead …