Results 41 to 50 of about 738,290 (135)

Estimating Functions Inference to Semi‐Parametric Additive Models for Skewed And/Or Heavy‐Tailed Longitudinal Data

Australian &New Zealand Journal of Statistics, Volume 68, Issue 3, September 2026.
ABSTRACT In many fields of research, it is common to conduct experiments where several observations of the response variable are made on the same subject over non‐random conditions, generating longitudinal studies. A wide variety of techniques deal with this type of data when analysing population variations, many based on estimating functions.
João Victor B. de Freitas, Caio L. N. Azevedo, Juvêncio S. Nobre   +2 more
wiley   +1 more source

Attention‐Based Stochastic Simulation of Climate‐Informed Spatiotemporal Flood Risk for Multisite Insurance Portfolios

Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Flood risk is correlated in space and time, challenging insurance systems that rely on diversification across assets. Financial instruments governing flood coverage are typically structured as 1–5‐year contracts, exposing portfolios to climate‐driven risk at interannual‐to‐decadal scales.
Adam Nayak, Pierre Gentine, Upmanu Lall
wiley   +1 more source

Volcanic Forcing Amplifies Extreme Wet‐to‐Dry in Pre‐Flood South China Driven by Internal Variability

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Dry‐wet whiplash events profoundly impact society and the environment, yet their attribution remain poorly understood. This study reveals that the unprecedented interannual wet‐to‐dry transition (return period: 979.2 years) in South China's 1962–1963 pre‐flood season is co‐driven by internal variability and volcanic forcing.
Qi Wen, Yan Li, Mengying Du, Jiahao Li, Zhilan Wang, Xiaodan Guan   +5 more
wiley   +1 more source

Stochastic Economic Dispatch Based Optimal Market Clearing Strategy Considering Flexible Ramping Products Under Wind Power Uncertainties

CSEE Journal of Power and Energy Systems
High penetration level of renewable energy has brought great challenges to operation of power systems, and use of flexible resources (FRs) is becoming increasingly important.
Haoyong Chen, Jianping Huang, Zhenjia Lin, Fanqi Huang, Mengshi Li   +4 more
doaj   +1 more source

Large‐Scale Moisture Circulation Index Related to Socioeconomic Drought and Its Subseasonal Forecast Skill in the Asian Monsoon Rainy Season

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 11, 16 June 2026.
Abstract Socioeconomic drought, which occurs when water demand exceeds available supply and often leads to water withdrawal restrictions, affects water resource management. However, the relationship between large‐scale moisture circulation and the occurrence of socioeconomic drought has not been well understood. In this study, we focused on the Yoshino
Yuta Tamaki, Noriko N. Ishizaki
wiley   +1 more source

The Multiscale Non‐Gaussian Statistics of Free‐Running 1000‐Member General Circulation Model Ensembles

Atmospheric Science Letters, Volume 27, Issue 6, June 2026.
This study investigates the multiscale evolution of forecast distributions using 1000‐member global circulation model ensembles. Initially different distributions converge to the same time‐varying equilibrium distribution, and the equilibration time scale noticeably exceeds the variance saturation time. Prior to equilibration, the forecast distribution
Man‐Yau Chan, Hristo G. Chipilski, Jack Schwartz, Max Albrecht, Aiden Ridgway, Saurav Dey Shuvo   +5 more
wiley   +1 more source

Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity

Biometrical Journal, Volume 68, Issue 3, June 2026.
ABSTRACT We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model‐ and design‐based simulations, with the latter using undersmoothed highly adaptive lasso on the “WASH Benefits Bangladesh” data set to ...
Christoph Wiederkehr, Christian Heumann, Michael Schomaker   +2 more
wiley   +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

An Overview and Recent Developments in the Analysis of Multistate Processes

Statistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT Multistate models offer a powerful framework for studying disease processes and can be used to formulate intensity‐based and more descriptive marginal regression models. They also represent a natural foundation for the construction of joint models for disease processes and dynamic marker processes, as well as joint models incorporating random ...
Malka Gorfine, Richard J. Cook, Per Kragh Andersen, Terry M. Therneau, Pierre Joly, Hein Putter, Maja Pohar Perme, Michal Abrahamowicz, on behalf of Topic Group 8 “Survival Analysis” of the STRATOS Initiative   +8 more
wiley   +1 more source

A Dynamic Model for Extreme Hourly Precipitation

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Despite the scarcity of comprehensive studies at a global scale, many regional analyses report increases in extreme hourly precipitation values. The growing interest in assessing trends in extreme hourly precipitation has outpaced the development of new statistical tools tailored to their features. Typical analyses employ Extreme Value Theory (
Debbie J. Dupuis, Carlotta Pacifici, Luca Trapin   +2 more
wiley   +1 more source