Results 131 to 140 of about 113,545 (266)

Metamodel-based importance sampling for structural reliability analysis

, 2011
Structural reliability methods aim at computing the probability of failure of systems with respect to some prescribed performance functions. In modern engineering such functions usually resort to running an expensive-to-evaluate computational model (e.g.
Deheeger, F., Dubourg, V., Sudret, B.
core   +1 more source

Stochastic Facies Modeling of the Lower‐Burdekin Delta Aquifer Based on Lithological Interpretation From Legacy Boreholes

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract The spatial heterogeneity of aquifer properties plays an important role in the movement of groundwater and contaminants. The characterization of heterogeneity from field observations is often needed to develop groundwater models used to inform management decisions.
Guillaume Pirot, Dylan J. Irvine, S. Cristina Solórzano‐Rivas, Adrian D. Werner   +3 more
wiley   +1 more source

Elevation, soil pH and calcium availability shape regional and local scale spatial patterns of PhoD gene abundance in tropical and subtropical forests

Functional Ecology, Volume 40, Issue 4, Page 983-1000, April 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Organic phosphorus mineralization is a critical process in the phosphorus cycle, governing phosphorus bioavailability for plants. The PhoD gene, which encodes the key enzyme alkaline phosphatase, serves as a valuable biomarker for this process.
Sandhya Mishra, Shangwen Xia, Wenting Wang, Xiaodong Yang   +3 more
wiley   +1 more source

Coarse‐to‐Fine Spatial Modeling: A Scalable, Machine‐Learning‐Compatible Framework

Geographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT This study proposes coarse‐to‐fine spatial modeling (CFSM) as a scalable and machine learning‐compatible alternative to conventional spatial process models. Unlike conventional covariance‐based spatial models, CFSM represents spatial processes using a multiscale ensemble of local models.
Daisuke Murakami, Alexis Comber, Takahiro Yoshida, Narumasa Tsutsumida, Chris Brunsdon, Tomoki Nakaya   +5 more
wiley   +1 more source

Focal‐Feature Regression Kriging

Geographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Peng Luo, Yilong Wu, Yongze Song
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Strong genetic differentiation but limited niche partitioning in a sympatric species pair separated by an allochronic reproductive barrier

Systematic Entomology, Volume 51, Issue 2, April‐June 2026.
Sympatric sister species demonstrate substantial geographic and host overlap, with ecological analyses only finding subtle microecological variation in habitat use. Molecular analyses reveal clear genetic differentiation with no evidence of hybridization, suggesting strong reproductive isolation between species. Differences in time‐of‐day mating appear
Mitchell Irvine, Zachary Stewart, Nagalingam Kumaran, Chapa G. Manawaduge, James Ryan, Solomon Balagawi, Brendan Missenden, Melissa Starkie, Anthony R. Clarke, David Hurwood, Peter Prentis   +10 more
wiley   +1 more source

Fine‐Scale Characterization of Groundwater Recharge Efficacy Under Ecological Water Replenishment: An AI‐Enhanced Learning Framework Benchmarked Against Traditional Geostatistics

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Ecological Water Replenishment (EWR) is critical for restoring depleted aquifers, yet quantifying its spatiotemporal impacts remains challenging. Leveraging multi‐source data sets and Light Gradient Boosting Machine (LightGBM), this study reconstructs high‐resolution (250 m) groundwater level dynamics in the Yongding River basin, Beijing, and ...
Weican Li, Chengpeng Lu, Jingsi Zhu, Yu Liu, Chengcheng Wu, Shuangyu Liu, Bo Liu, Longcang Shu   +7 more
wiley   +1 more source

The Legacy of Colonial‐Era Urban Planning on Present Day Air Quality Disparities in Kampala, Uganda

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 6, 28 March 2026.
Abstract British colonial urban planners in Kampala, Uganda, designed segregated neighborhoods for Europeans, Asians, and Africans, under the colonial public health guidance. No studies have investigated how these historical urban design decisions relate to modern air pollution exposure disparities in African cities.
Dorothy Lsoto, Kayan Clarke, Yu Li, Aleia McCord, Jonathan Alan Patz, Deo Okure, Alex Ndyabakira, Daniel Okello Ayen, Eric S. Coker   +8 more
wiley   +1 more source

Rational Kriging

Journal of the American Statistical Association
This article proposes a new kriging that has a rational form. It is shown that the generalized least squares estimate of the mean from rational kriging is much more well behaved than that from ordinary kriging. Parameter estimation and uncertainty quantification for rational kriging are proposed using a Gaussian process framework.
openaire   +2 more sources