On the public citation graph
Universal cokriging under intrinsic coregionalization
0 signed · 53 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00395842openalex-snapshot
Kriging for estimating spatial pattern of contaminants: Potential and problems
inferredcites →https://doi.org/10.1007/bf00893318openalex-snapshot
When do we need a trend model in kriging?
inferredcites →https://doi.org/10.1007/bf01032109openalex-snapshot
Fitting variogram models by weighted least squares
inferredcites →https://doi.org/10.1007/bf01035243openalex-snapshot
Robust estimation of the variogram: I
inferredcites →https://doi.org/10.1111/j.1365-3121.1992.tb00605.xopenalex-snapshot
STATISTICS FOR SPATIAL DATA
inferredcites →https://doi.org/10.1559/152304092783721231openalex-snapshot
Hexagon Mosaic Maps for Display of Univariate and Bivariate Geographical Data
inferredcites →https://doi.org/10.2307/2532147openalex-snapshot
Universal Kriging and Cokriging as a Regression Procedure
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4860916openalex-extracted
Inferential Statistical Kriging: The Construction of Radio Environment Maps on Multiprecision Data
inferred← citeshttps://doi.org/10.1002/9780470057339.vam049.pub2openalex-snapshot
Multivariate Kriging
inferred← citeshttps://doi.org/10.1002/9781118445112.stat07732.pub2openalex-snapshot
Multivariate Kriging
inferred← citeshttps://doi.org/10.1002/env.699openalex-snapshot
Complementary co-kriging: spatial prediction using data combined from several environmental monitoring networks
inferred← citeshttps://doi.org/10.1007/978-1-4020-3610-1_20openalex-snapshot
On Simplifications of Cokriging
inferred← citeshttps://doi.org/10.1007/978-3-031-48902-0_15openalex-snapshot
Synthetic Geological Velocity Building and Acoustic Wave Simulation in Hydrogen-Bearing Reservoirs
inferred← citeshttps://doi.org/10.1007/978-3-319-44412-3_7openalex-snapshot
Monitoring Short Term Changes of Infectious Diseases in Uganda with Gaussian Processes
inferred← citeshttps://doi.org/10.1007/bf02769635openalex-snapshot
Multivariate geostatistics By Hans Wackernagel
inferred← citeshttps://doi.org/10.1007/bf02769651openalex-snapshot
A new form of the cokriging equations
inferred← citeshttps://doi.org/10.1007/s10651-008-0090-zopenalex-snapshot
Coregionalization analysis with a drift for multi-scale assessment of spatial relationships between ecological variables 1. Estimation of drift and random components
inferred← citeshttps://doi.org/10.1007/s11004-009-9218-4openalex-snapshot
Multivariate Intrinsic Random Functions for Cokriging
inferred← citeshttps://doi.org/10.1007/s11004-017-9713-yopenalex-snapshot
Means and Covariance Functions for Geostatistical Compositional Data: an Axiomatic Approach
inferred← citeshttps://doi.org/10.1007/s11600-021-00648-9openalex-snapshot
Global stochastic seismic inversion using turning bands simulation and co-simulation
inferred← citeshttps://doi.org/10.1007/s13253-020-00414-2openalex-snapshot
Flexible Modeling of Variable Asymmetries in Cross-Covariance Functions for Multivariate Random Fields
inferred← citeshttps://doi.org/10.1016/j.catena.2023.106992openalex-snapshot
Silver origins and spatial distribution in soils of southwestern France: A first assessment with cokriging
inferred← citeshttps://doi.org/10.1016/j.geoderma.2008.01.011openalex-snapshot
Standardized vs. customary ordinary cokriging: Some comments on the article “The geostatistical analysis of experiments at the landscape-scale” by T.F.A. Bishop and R.M. Lark
inferred← citeshttps://doi.org/10.1016/j.jbi.2021.103698openalex-snapshot
Nonstationary multivariate Gaussian processes for electronic health records
inferred← citeshttps://doi.org/10.1016/j.jcp.2024.113474openalex-snapshot
Gradient-enhanced deep Gaussian processes for multifidelity modeling
inferred← citeshttps://doi.org/10.1016/j.jmva.2022.105084openalex-snapshot
Conditions on which cokriging does not do better than kriging
inferred← citeshttps://doi.org/10.1016/s0022-1694(96)03062-4openalex-snapshot
Spatial modeling of snow water equivalent using covariances estimated from spatial and geomorphic attributes
inferred← citeshttps://doi.org/10.1016/s0378-3758(97)00162-6openalex-snapshot
Constructing and fitting models for cokriging and multivariable spatial prediction
inferred← citeshttps://doi.org/10.1061/ajrua6.rueng-975openalex-snapshot
Bayesian Analysis of Benchmark Examples for Data-Driven Site Characterization
inferred← citeshttps://doi.org/10.1080/00401706.1996.10484552openalex-snapshot
Multivariate Geostatistics
inferred← citeshttps://doi.org/10.1080/03610918.2025.2595523openalex-snapshot
Chain model for multivariate spatial data
inferred← citeshttps://doi.org/10.1093/biomtc/ujaf090openalex-snapshot
Adjusted predictions for generalized estimating equations
inferred← citeshttps://doi.org/10.1109/tpami.2020.2987482openalex-snapshot
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach
inferred← citeshttps://doi.org/10.1111/biom.13323openalex-snapshot
Semiparametric estimation of cross‐covariance functions for multivariate random fields
inferred← citeshttps://doi.org/10.1115/1.4006996openalex-snapshot
Multiresponse Metamodeling in Simulation-Based Design Applications
inferred← citeshttps://doi.org/10.1198/1061860043498openalex-snapshot
Flexible Spatial Models for Kriging and Cokriging Using Moving Averages and the Fast Fourier Transform (FFT)
inferred← citeshttps://doi.org/10.1201/9781420072884-c28openalex-snapshot
Multivariate Spatial Process Models
inferred← citeshttps://doi.org/10.1214/14-sts487openalex-snapshot
Cross-Covariance Functions for Multivariate Geostatistics
inferred← citeshttps://doi.org/10.1561/2200000036openalex-snapshot
Kernels for Vector-Valued Functions: A Review
inferred← citeshttps://doi.org/10.1615/int.j.uncertaintyquantification.2026062570openalex-snapshot
DEEP INTRINSIC COREGIONALIZATION MULTI-OUTPUT GAUSSIAN PROCESS SURROGATE WITH ACTIVE LEARNING
inferred← citeshttps://doi.org/10.17863/cam.48485openalex-snapshot
Computationally Efficient Convolved Multiple Output Gaussian Processes
inferred← citeshttps://doi.org/10.31390/gradschool_dissertations.421openalex-snapshot
Optimizing peak gust and maximum sustained wind speed estimates from mid-latitude wave cyclones
inferred← citeshttps://doi.org/10.3390/math8081305openalex-snapshot
Cokriging Prediction Using as Secondary Variable a Functional Random Field with Application in Environmental Pollution
inferred← citeshttps://doi.org/10.3390/su16156423openalex-snapshot
Enhancing Forest Site Classification in Northwest Portugal: A Geostatistical Approach Employing Cokriging
inferred← citeshttps://doi.org/10.3390/w10081104openalex-snapshot
Climatic Variations in Macerata Province (Central Italy)
inferred← citeshttps://doi.org/10.48550/arxiv.0911.5107openalex-snapshot
Sparse Convolved Multiple Output Gaussian Processes
inferred← citeshttps://doi.org/10.70675/85f08a0dz1880z4c94z8ae2z359e421f6129openalex-snapshot
Incorporating Prior Information from Engineering Design into Gaussian Process Regression : with applications to Aeronautical Engineering
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.