Results 141 to 150 of about 29,960 (243)

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley   +1 more source

Multifunctional Superwetting Sea‐Urchin‐Mimetic Nanosheet‐Based Interface for Remote Oil‐Water Separation

Small, Volume 22, Issue 17, 20 March 2026.
A fluorine‐free, FBC–rGO coating‐based robust superhydrophobic/superoleophilic sorbent (WCA >154°), enabling rapid, selective oil uptake and efficient oil/water separation. Integrated into a dolphin‐inspired Wi‐Fi mini‐bot with onboard pumping and storage, the platform enables remote, contactless, on‐site oil recovery from hazardous spill zones ...
Surya Kanta Ghadei, Madhu Bhaskaran, Sharath Sriram, Ramasamy Sakthivel, Md. Ataur Rahman   +4 more
wiley   +1 more source

A Novel Hybrid Predictive Model Based on Mixture Density Networks With Weighted Conformal Inference Strategy for Runoff Interval Prediction Across Australia

Water Resources Research
Accurate runoff forecasting helps mitigate flooding and drought risks and ensure water security under changing conditions. Compared to deterministic prediction models, interval prediction can more effectively quantify uncertainty, enhancing practical ...
Yubo Jia, Xiaoling Su, Vijay P. Singh, Bingnan Zhao, Te Zhang, Jiangdong Chu, Haijiang Wu   +6 more
doaj   +1 more source

Advances in Modal Regression: From Theoretical Foundations to Practical Implementations

WIREs Computational Statistics, Volume 18, Issue 1, March 2026.
Modal regression. ABSTRACT Modal regression has emerged as a powerful alternative to traditional mean and quantile regression by focusing on estimating the conditional mode rather than the conditional mean or quantiles. This approach offers robustness to outliers and skewed distributions while providing more informative prediction intervals for ...
Sijia Xiang, Weixin Yao, Xinping Cui
wiley   +1 more source

Tests of fit for the asymmetric Laplace distribution [PDF]

Statistics and Its Interface, 2014
openaire   +1 more source

Thermospheric Energy and Heating Due To Upward Propagating and in Situ Generated Tides During Solar Cycle 24

Journal of Geophysical Research: Space Physics, Volume 131, Issue 3, March 2026.
Abstract We investigate vertical and horizontal energy transport and associated heating in the thermosphere due to both upward propagating and in situ generated migrating and nonmigrating diurnal and semidiurnal tides over the solar cycle 24 (2009–2019).
Mukta Neogi, Jens Oberheide, Xian Lu
wiley   +1 more source

Poroelastic Bulk Controls on Shear Localization in Fault Gouge During Earthquake Rupture: Insights From a Hybrid Numerical Framework

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract Seismic ruptures that extend over kilometers along faults originate in shear zones only millimeters thick. We present a hybrid numerical framework coupling the spectral boundary integral method (SBIM) for the poroelastic bulk with a staggered‐grid finite difference method (FDM) for the fault gouge.
Yu‐Han Wang, Elías Rafn Heimisson
wiley   +1 more source

Predicción de la Volatilidad de los Precios del Petróleo Mexicano: CGARCH Asimétrico con Distribuciones Normal y Laplace

Ciencias Administrativas Teoría y Praxis, 2018
Predicting Price Volatility of Mexican Petroleum: Asymmetric CGARCH with Normal and Laplace Distributions Resumen Uno  de  los  problemas asociados con  las exportaciones petroleras es la volatilidad de sus precios cuyo comportamiento se ha ...
Raúl de Jesús Gutiérrez
doaj  

Quasi‐4‐Day Waves During the 2018/2019 SSW and Their Coupling to the Ionosphere Based on Whole Atmosphere Data Assimilation

Space Weather, Volume 24, Issue 3, March 2026.
Abstract A strong westward zonal wavenumber‐2 quasi‐4‐day wave (Q4DW) during the 2018/2019 Northern Hemisphere sudden stratospheric warming (SSW) is both captured by Aura Microwave Limb Sounder (MLS) observations and our new whole neutral atmosphere data assimilation system.
Wenxuan Wang, Xiankang Dou, Sheng‐Yang Gu, Yusong Qin, Yuxuan Liu, Hao Chen, Bao Zhang   +6 more
wiley   +1 more source

Beyond Normality: Gain‐Probability Analysis for Symmetric Scale Mixture of Normal Distributions

Australian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.
ABSTRACT Gain‐Probability (G‐P) analysis quantifies the probability that a randomly selected individual from one group scores higher or lower than an individual from another group, by varying magnitudes. While G‐P methods have been developed under normality and various skewed distributions, symmetric heavy‐tailed settings remain largely unexplored ...
Tingting Tong, David Trafimow, Xiangfei Chen, Tonghui Wang, S. T. Boris Choy, Ziyuan Wang   +5 more
wiley   +1 more source