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Predictive modelling

Known as: CARBOB, Predictive Models, California Predictive Model 
Predictive modeling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be… 
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Papers overview

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Highly Cited
2012
Highly Cited
2012
1. The mvabund package for R provides tools for model‐based analysis of multivariate abundance data in ecology. 
Highly Cited
2007
Highly Cited
2007
Predictive modelling of species geographical distributions isa thriving ecological and biogeographical discipline. Majoradvances… 
Highly Cited
2006
Highly Cited
2006
Architects use cycle-by-cycle simulation to evaluate design choices and understand tradeoffs and interactions among design… 
Highly Cited
2003
Highly Cited
1997
Highly Cited
1997
Abstract We present a quantitative model to describe the partitioning of rare earth elements (REE) and Y between clinopyroxene… 
Highly Cited
1997
Highly Cited
1997
This paper presents a model describing sequential iteration, one of the fundamental solution processes experienced in complex… 
Highly Cited
1995
Highly Cited
1995
(1994). Implicit niching in a learning classifier system: na-ture's way. A network that learns to recognize three-dimensional… 
Review
1995
Review
1995
Research into ultrasonic NDE techniques for the inspection of multilayered structures relies strongly on the use of modeling… 
Highly Cited
1993
Highly Cited
1993
Making sense of a body of data is a common activity in any kind of analysis. Sensemaking is the process of searching for a…