The quest for conditional independence in prospectivity modeling

Boost weights-of-evidence (BoostWofE) was introduced into prospectivity modeling to counterbalance violations of the assumption of conditional ...

The quest for conditional independence in prospectivity modeling ...

The quest for conditional independence in prospectivity modeling: weights-of-evidence, boost weights-of-evidence, and logistic regression. @article ...

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The quest for conditional independence in prospectivity modeling ...

The quest for conditional independence in prospectivity modeling: weights-of-evidence, boost weights-of-evidence, and logistic regression.

Potential modeling: Conditional independence matters | Request PDF

In turn, conditional independence is the major mathematical assumption of potential modeling with weights of evidence, cf. ( [5], [1], [30] ), e.g., applied to ...

Potential modeling: conditional independence matters | Semantic ...

9 Citations · Targeting: Logistic Regression, Special Cases and Extensions · The quest for conditional independence in prospectivity modeling: weights-of-evidence ...

Comment on “Modified Weights‐of‐Evidence Modeling with ...

Joint conditional independence of predictor variables, given the target variable, is a property of a set of random variables, and it cannot be ...

Potential modeling: conditional independence matters - OUCI

2014, Mathematical Geosciences, № 7, p. 895-900. Scopus. WoS. Crossref citations: 0 · The quest for conditional independence in prospectivity modeling: weights ...

Application of Logistic Regression and Weights of - ProQuest

Testing for conditional independence (Cl): WofE modeling requires the assumption of conditional independence among evidential layers with respect to prospects.

Comment on “Modified Weights‐of‐Evidence Modeling with ...

[10] H. Schaeben and G. Semmler, “(e quest for conditional independence in prospectivity modeling: Weights-of-evi- dence, boost ...

A Unique Conditions Model for Landslide Susceptibility Mapping

has a posterior probability that is lower than the prior probability ... The quest for conditional independence in prospectivity modeling: Weights ...

Volume 10, Issue 3 | Frontiers of Earth Science

Volume 10, Issue 3. September 2016. 16 articles in this issue. The quest for conditional independence in prospectivity modeling: weights-of-evidence, boost ...

Jun 2016, Volume 10 Issue 3

The quest for conditional independence in prospectivity modeling: weights-of-evidence, boost weights-of-evidence, and logistic regression · A case study of GOES- ...

Stochastic Modelling of Mineral Exploration Targets - Academia.edu

... independent S R F l model that resulted in one single mineral prospectivity map. ... 2015.01.001 Schaeben H, Semmler G (2016) The quest for conditional ...

5.3.4 - Conditional Independence | STAT 504

The concept of conditional independence is very important and it is the basis for many statistical models (eg, latent class models, factor analysis, item ...

ABCs of Conditional Independence (Detailed Edition - YouTube

Do you want to be a superstar in conditional independence? Then, please fear no more! In this video, Saniya will teach you the ABC's of ...

Comment on “Modified Weights-of-Evidence Modeling with Example ...

Semmler, “The quest for conditional independence in prospectivity modeling: Weights-of-evidence, boost weights-of-evidence, and logistic regression ...

Conditional Independence Test for Weights-of-Evidence Modeling

KEY WORDS: Conditional independence; weights-of-evidence; mineral deposits; map layers; signifi- cance test. INTRODUCTION. Weights-of-evidence modeling was ...

From prospect theories to sampling-based accounts

Lower and upper cumulative independence are properties that need to be satisfied by any model, like CPT, that jointly requires comonotonic ...

Conditional independence as a statistical assessment of evidence ...

This simplified approach can be used in two general ways: to generate predictions by combining multiple (conditionally independent) sources of evidence, or to ...