Results 231 to 240 of about 24,138 (305)

Validation of machine learning based scenario generators

Journal of Risk and Insurance, Volume 93, Issue 2, Page 508-533, June 2026.
Abstract Machine learning (ML) methods are becoming increasingly important for designing economic scenario generators for internal models. Validating data‐driven models requires different methods than validating classical, theory‐based models. We discuss two novel aspects of such validation: first, checking the multivariate distribution of risk factors,
Gero Junike, Solveig Flaig, Ralf Werner
wiley   +1 more source

Bivariate Copula-Based Regression for Joint Modeling of Healthcare Visits. [PDF]

Health Econ
Marra G, Radice R.
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

LABOUR, 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, Mario Mezzanzanica   +1 more
wiley   +1 more source

Modelling dependent censoring in time-to-event data using boosting copula regression. [PDF]

Lifetime Data Anal
Strömer A, Klein N, Van Keilegom I, Mayr A.   +3 more
europepmc   +1 more source

Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 3, Page 519-534, June 2026.
ABSTRACT This study proposes a Bayesian approach for finite‐sample inference of the Gaussian copula endogeneity correction. Extant studies use frequentist inference, build on a priori computed estimates of marginal distributions of explanatory variables, and use bootstrapping to obtain standard errors. The proposed Bayesian approach facilitates precise
Rouven E. Haschka
wiley   +1 more source

Assessment of wind-induced fatigue life for transmission tower-line systems incorporating joint probability distribution of wind speed and direction. [PDF]

Sci Rep
Wu S, Liu H, Zhang J, You Y.
europepmc   +1 more source

Redesigning Risk Assessments in the Age of AI: Emergence of the Opacity Risk Dimension

Risk Analysis, Volume 46, Issue 6, June 2026.
ABSTRACT The foundational instruments of organizational risk analysis, most notably the two‐dimensional Impact × Probability matrix, were designed for failures in traditional and predictable systems. As such, they are ill‐equipped to address the unpredictability and complexity that define modern artificial intelligence.
Helmi Issa
wiley   +1 more source

Pickpocket315 affects male mating behavior in the yellow fever mosquito Aedes aegypti. [PDF]

G3 (Bethesda)
Wyer CAS, Amaro IA, Pitcher S, Ponlawat A, Harrington LC, Wolfner MF, Hollis B, Cator LJ.   +7 more
europepmc   +1 more source

Water‐Regulated Carbon Cost–Benefit Drives Divergent Effective Rooting Depth Across the Greening Loess Plateau

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Large‐scale vegetation restoration is reshaping belowground systems globally, yet root dynamics remain poorly quantified, limiting predictions of ecosystem resilience to hydroclimatic variability. Rooting depth reflects a trade‐off between carbon benefits and respiratory costs, but assessment is hampered by soil‐moisture uncertainty and weak ...
Tongxuan Su, Rui Shao, Yao Li, Xining Zhao, Baoqing Zhang   +4 more
wiley   +1 more source

A Review: Construction of Statistical Distributions. [PDF]

Entropy (Basel)
Fang KT, Lin YX, Deng YH.
europepmc   +1 more source