Results 101 to 110 of about 77,394 (227)
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
Influence of parameter estimation uncertainty in Kriging: Part 1 - Theoretical Development [PDF]
Hydrology and Earth System Sciences, 2001 This paper deals with a theoretical approach to assessing the effects of parameter estimation uncertainty both on Kriging estimates and on their estimated error variance.
E. Todini, E. Todini
doaj
Revista de Matemática: Teoría y Aplicaciones, 2017 This contribution describes the creation of a landslide hazard assessment model for San Salvador, a department in El Salvador. The analysis started with an aerial photointerpretation from Ministry of Environment and Natural Resources of El Salvador (MARN
Ricardo Ríos +3 more
doaj +1 more source
New Zealand Journal of Geology and Geophysics, Volume 69, Issue 1, March 2026.The Eastern Himalayan Syntaxis (EHS), which is located at the southeastern edge of the Qinghai–Xizang Plateau, is a key region for understanding mountain‐building and subduction processes. Bouguer gravity anomalies derived from the Earth Gravitational Model 2008 free‐air anomaly data following topographic corrections, were analyzed.
Rui Zhang +5 more
wiley +1 more source
ISPRS International Journal of Geo-InformationIntegrating spatio-temporal kriging with machine learning improves estimation accuracy by addressing complex spatial and temporal variations in spatio-temporal phenomena.
Min Jeong, Hyeongmo Koo
doaj +1 more source
Bayesian analysis of hierarchical multi-fidelity codes [PDF]
, 2012 This paper deals with the Gaussian process based approximation of a code which can be run at different levels of accuracy. This method, which is a particular case of co-kriging, allows us to improve a surrogate model of a complex computer code using fast
Gratiet, Loic Le
core +2 more sources
Cyclone‐induced mixing and stratification shape autumnal hypoxia in a temperate estuary
Limnology and Oceanography Letters, Volume 11, Issue 2, March 2026.Abstract Autumnal hypoxia in temperate estuaries is often overlooked due to its smaller extent, weaker intensity, and sparse observations compared to summer. However, climate variability may alter its seasonality. Using 40 yr (1984–2023) of hypoxic volume data from the Chesapeake Bay, combined with numerical simulations, we examined interannual drivers
Chunqi Shen, Jeremy M. Testa
wiley +1 more source
Remote Sensing, 2019 Quantifying nocturnal bird migration at high resolution is essential for (1) understanding the phenology of migration and its drivers, (2) identifying critical spatio-temporal protection zones for migratory birds, and (3) assessing the risk of collision ...
Raphaël Nussbaumer +5 more
doaj +1 more source
Stochastic modeling error reduction using Bayesian approach coupled with an adaptive kriging based model [PDF]
, 2012 Magnetic material properties of an electromagnetic device can be recovered by solving an inverse problem where measurements are adequately interpreted by a mathematical forward model.
Dupré, Luc +1 more
core
Bayesian D‐Optimal Designs for Gaussian Process Surrogate Models
Quality and Reliability Engineering International, Volume 42, Issue 2, Page 583-597, March 2026.ABSTRACT Computer experiments often employ space‐filling strategies to create surrogate models with strong predictive performance. The impact of model parameter estimation for Gaussian process surrogates, however, is often overlooked. Obtaining a better initial estimate of the covariance lengthscale parameter, θ$\bm{\theta }$, can greatly improve the ...
Patrick McHugh +2 more
wiley +1 more source