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Kriging

Known as: Universal Kriging, Multiple-indicator Kriging, Gaussian process regression 
In statistics, originally in geostatistics, Kriging or Gaussian process regression is a method of interpolation for which the interpolated values are… Expand
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Papers overview

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Review
2018
Review
2018
Upcoming satellite hyperspectral sensors require powerful and robust methodologies for making optimum use of the rich spectral… Expand
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Review
2017
Review
2017
Ground-penetrating radar (GPR) was firstly used in traffic infrastructure surveys during the first half of the Seventies for… Expand
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Review
2017
Review
2017
This article reviews the design and analysis of simulation experiments. It focusses on analysis via either low-order polynomial… Expand
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Review
2017
Review
2017
WiFi fingerprinting-based indoor positioning system (IPS) has become the most promising solution for indoor localization. However… Expand
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Highly Cited
2007
Highly Cited
2007
This paper discusses the characteristics of regression-kriging (RK), its strengths and limitations, and illustrates these with a… Expand
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Highly Cited
2006
Highly Cited
2006
This paper proposes a new method that extends the efficient global optimization to address stochastic black-box systems. The… Expand
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Highly Cited
2005
Highly Cited
2005
The use of kriging models for approximation and metamodel-based design and optimization has been steadily on the rise in the past… Expand
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Highly Cited
2001
Highly Cited
2001
Response surface methods have been used for a variety of applications in aerospace engineering, particularly in multidisciplinary… Expand
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Highly Cited
2000
Highly Cited
2000
1 Linear Prediction.- 1.1 Introduction.- 1.2 Best linear prediction.- Exercises.- 1.3 Hilbert spaces and prediction.- Exercises… Expand
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Highly Cited
1999
Highly Cited
1999
We consider the problem of segmenting a digitized image consisting of two univariate populations. Assume a priori knowledge… Expand
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