The Tau Model for Data Redundancy and Information Combination in Earth Sciences: Theory and Application

By S. Krishnan. 2008

56 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/3f4f8bd998f3d29c3082cc6794b8d0aa5e4e6539

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. Philippe Renard
2. Mehrdad Honarkhah
3. Denis Allard
4. Alessandro Comunian
5. F. Agterberg
6. Jef Caers
7. Xavier Emery
8. Gregoire Mariethoz

In Mechanics of Materials

1. F. Agterberg
2. Denis Allard
3. Alessandro Comunian
4. Philippe Renard
5. Jef Caers
6. Mehrdad Honarkhah

In Ocean Engineering

1. Philippe Renard
2. Jef Caers
3. Mehrdad Honarkhah
4. F. Agterberg
5. Denis Allard
6. Alessandro Comunian
7. Muhammad Sahimi
8. Pejman Tahmasebi

Citations in the corpus

• Probability Aggregation Methods in Geoscience (2012, methodology): “In Journel (2002), Polyakova and Journel (2007), and Krishnan (2008), the Tau model is exclusively presented in the case of binary event, either explicitly or implicitly.”
• A Modified Weights-of-Evidence Method for Regional Mineral Resource Estimation (2011, methodology): “Recently, the latter technique which is known as the ‘‘Tau-method’’ was discussed by Krishnan (2008) and Cheng (2008).”
• Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling (2010, methodology): “Tau model has been widely used and extensively studied in the past (Lopez et al., 2004; Krishnan et al., 2005; Caers et al., 2006; Castro et al., 2006; Tang et al., 2007; Krishnan, 2008).”