Results 91 to 100 of about 2,909,867 (244)
Interpolating point spread function anisotropy
, 2012 Planned wide-field weak lensing surveys are expected to reduce the statistical errors on the shear field to unprecedented levels. In contrast, systematic errors like those induced by the convolution with the point spread function (PSF) will not benefit ...
Courbin, F., Gentile, M., Meylan, G.
core +1 more source
Advances in Kriging-Based Autonomous X-Ray Scattering Experiments. [PDF]
, 2020 Autonomous experimentation is an emerging paradigm for scientific discovery, wherein measurement instruments are augmented with decision-making algorithms, allowing them to autonomously explore parameter spaces of interest.
Doerk, Gregory S +4 more
core
Bootstrap based uncertainty bands for prediction in functional kriging [PDF]
, 2016 The increasing interest in spatially correlated functional data has led to the development of appropriate geostatistical techniques that allow to predict a curve at an unmonitored location using a functional kriging with external drift model that takes ...
Franco-Villoria, Maria +1 more
core +3 more sources
Area-to-point regression kriging for pan-sharpening
ISPRS Journal of Photogrammetry and Remote Sensing, 2016 Pan-sharpening is a technique to combine the fine spatial resolution panchromatic (PAN) band with the coarse spatial resolution multispectral bands of the same satellite to create a fine spatial resolution multispectral image. In this paper, area-to-point regression kriging (ATPRK) is proposed for pan-sharpening.
Wang, Q, Shi, W, Atkinson, PM
openaire +2 more sources
A Machine Learning Technique for Spatial Interpolation of Solar Radiation Observations
Earth and Space Science, 2021 This study applies statistical methods to interpolate missing values in a data set of radiative energy fluxes at the surface of Earth. We apply Random Forest (RF) and seven other conventional spatial interpolation models to a global Surface Solar ...
Thomas Leirvik, Menghan Yuan
doaj +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, EarlyView.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 +4 more
wiley +1 more source
Regression and Kriging metamodels with their experimental designs in simulation: A review [PDF]
European Journal of Operational Research, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +5 more sources
DCENT‐I: A Globally Infilled Extension of the Dynamically Consistent ENsemble of Temperature Dataset
Geoscience Data Journal, Volume 13, Issue 2, April 2026.DCENT‐I infills data gaps in DCENT, producing spatially coherent temperature fields (top) and a slightly higher GMST warming estimate (bottom). Top: December 1877 temperature anomalies (°C; 1961–1990 December baseline) from DCENT (left) and DCENT‐I (right). Bottom: GMST before (DCENT, blue) and after (DCENT‐I, red) infilling.
Duo Chan +8 more
wiley +1 more source
Digital mapping of soil erodibility: A case study of the Ravang watershed, southern Iran
Agrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.Abstract The Universal Soil Loss Equation incorporates soil erodibility as a key parameter for erosion quantification. This study focused on mapping soil erodibility patterns and identifying the primary factors influencing its spatial distribution within the Ravang watershed, located in southern Iran's Hormozgan Province.
Fahimeh Torkamani +3 more
wiley +1 more source
Mesoscale Soil Moisture Patterns Revealed Using a Sparse In Situ Network and Regression Kriging
Water Resources Research, 2019 Soil moisture spatial patterns with length scales of 1‐100 km influence hydrological, ecological, and agricultural processes, but the footprint or support volume of existing monitoring systems, for example, satellite‐based radiometers and sparse in situ ...
T. Ochsner +3 more
semanticscholar +1 more source