Reference health

Interpolation of spatially varying but sparsely measured geo-data: A comparative study

https://doi.org/10.1016/j.enggeo.2017.10.019
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33/33 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

21 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 33 checked references that resolve
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Geostatistical modeling of spatial variability of SPT data for a borax stockpile site
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Model Selection Using Response Measurements: Bayesian Probabilistic Approach
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Stable signal recovery from incomplete and inaccurate measurements
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Bayesian Approach for Probabilistic Site Characterization Using Cone Penetration Tests
resolves10.1016/j.strusafe.2013.06.003
Bayesian model comparison and selection of spatial correlation functions for soil parameters
resolves10.1061/(ASCE)EM.1943-7889.0001240
Characterizing Uncertain Site-Specific Trend Function by Sparse Bayesian Learning
resolves10.1139/cgj-2015-0094
Statistical characterization of random field parameters using frequentist and Bayesian approaches
resolves10.1109/TIT.2006.871582
Compressed sensing
resolves10.1023/A:1011093014141
Teacher's Aide Variogram Interpretation and Modeling
resolves10.1016/j.enggeo.2016.04.008
Spatial estimation of the thickness of low permeability topsoil materials by using a combined ordinary-indicator kriging approach with multiple thresholds
resolves10.1109/TSP.2008.2005866
Multitask Compressive Sensing
resolves10.1109/TSP.2007.914345
Bayesian Compressive Sensing
resolves10.1016/j.enggeo.2011.06.008
Probabilistic evaluation of spatial distribution of secondary compression by using kriging estimates of geo-layers
resolves10.1016/j.enggeo.2014.12.003
A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties
resolves10.1016/j.ecoinf.2010.12.003
A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors
resolves10.1016/S0168-874X(02)00141-5
A study of the construction and application of a Daubechies wavelet-based beam element
resolves10.1016/S0013-7952(02)00246-6
Improving geological models using a combined ordinary–indicator kriging approach
resolves10.1016/j.enggeo.2015.10.008
Predictive model for uniaxial compressive strength for Grade III granitic rocks from Macao
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Identification of Statistically Homogeneous Soil Layers Using Modified Bartlett Statistics
resolves10.1016/j.enggeo.2012.10.003
A kriging method of interpolation used to map liquefaction potential over alluvial ground
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Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
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Probabilistic Modeling of Soil Profiles
resolves10.1016/j.ijrmms.2015.01.008
Selection of site-specific regression model for characterization of uniaxial compressive strength of rock
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Bayesian approach for probabilistic characterization of sand friction angles
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Probabilistic identification of underground soil stratification using cone penetration tests
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Bayesian identification of soil strata in London clay
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Interpretation of soil property profile from limited measurement data: a compressive sampling perspective
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Statistical interpretation of soil property profiles from sparse data using Bayesian compressive sampling
resolves10.1061/(ASCE)GT.1943-5606.0000157
Bayesian Probabilistic Approach for the Correlations of Compression Index for Marine Clays
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Recent developments of Bayesian model class selection and applications in civil engineering
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BAYESIAN NONPARAMETRIC GENERAL REGRESSION
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Novel nonparametric modeling of seismic attenuation and directivity relationship
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Application of the Kriging-Based Response Surface Method to the System Reliability of Soil Slopes
The 21 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0005
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0010
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0025
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0055
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0060
no DOI — not checkedWavelab 850
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0075
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0085
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0105
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0110
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0140
no DOI — not checkedOrthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0165
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0170
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0185
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0190
no DOI — not checkedDirect simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0230
no DOI — not checked10.1016/j.enggeo.2017.10.019_bb0240
no DOI — not checkedInterpolating spatially varying soil property values from sparse data for facilitating characteristic value selection
no DOI — not checkedEstimation of soil–water characteristic curve and relative permeability for granular soils with different initial dry densities
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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