Beyond Covariance: The Advent of Multiple-Point Geostatistics

By André G. Journel. 2005

61 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/3ae196c41e06e3f6b0d98841b1c6136e1139cf5e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. S. Krishnan
2. F. Agterberg
3. Mehrdad Honarkhah
4. Jef Caers

In Environmental Engineering

1. S. Krishnan

In Mechanical Engineering

1. S. Krishnan

Citations in the corpus

• The Tau Model for Data Redundancy and Information Combination in Earth Sciences: Theory and Application (2008, background): “Such interactions can be captured only if one graduates to the concept of multiple-data information and redundancy, a concept at the basis of multiple-point geostatistics, in that case for spatially distributed variables (Strebelle 2001; Journel 2004 ).”