Results 161 to 170 of about 43,396 (279)

Bayesian Decision Thresholds for Bushfire Warnings: Calibration and Robustness for Rare‐Event Risk

open access: yesAustralian &New Zealand Journal of Statistics, Volume 68, Issue 2, June 2026.
ABSTRACT Current bushfire warning systems communicate the probability of a warning given danger, but residents require the probability of danger given a warning. This misalignment, combined with the extreme rarity of catastrophic fires, often leads to the dangerous ‘wait and see’ behaviour.
Miodrag Lovric, Ojas Davé
wiley   +1 more source

An approximate-copula distribution for statistical modeling. [PDF]

open access: yesPLoS Comput Biol
Ji SS, Chu BB, Zhou H, Lange K.
europepmc   +1 more source

An Assessment of the Use of Partial Least Squares Structural Equation Modelling (PLS‐SEM) in Educational Leadership and Management Research

open access: yesEuropean Journal of Education, Volume 61, Issue 2, June 2026.
ABSTRACT Structural equation modelling (SEM) has become a widely used method across various disciplines including educational leadership and management (EDLM). Although researchers in many disciplines have conducted reviews regarding the use of PLS‐SEM, its application in EDLM has not yet been reviewed comprehensively.
Yuting Zhang   +4 more
wiley   +1 more source

Hybrid Hydrodynamic‐Machine Learning Modelling for Rapid Flood Scenario Assessment: A Case Study in Aotearoa New Zealand

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding is one of the most devastating natural disasters worldwide. It is also expected to become more severe as climate change impacts are realised. Two‐dimensional (2D) hydrodynamic models are used to obtain reliable inundation estimations.
Andrea Pozo   +5 more
wiley   +1 more source

Spatiotemporal imbalance of regional water shortage risk based on copulas and concentration index. [PDF]

open access: yesSci Rep
Qian T   +9 more
europepmc   +1 more source

Analyzing Non‐Random Selectivity in Online Job Advertisements Using Eurostat Benchmark Data and Generalized Sample Selection Models: An Application to EU Regional Labor Markets

open access: yesLABOUR, Volume 40, Issue 2, Page 131-161, June 2026.
ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

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