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CSTEP: a HPC Platform for Scenario Reduction Research on Efficient Stochastic Modeling - Representative Scenario Approach
CSTEP: a HPC Platform for Scenario Reduction Research on Efficient Stochastic Modeling - Representative ... modeled and projected by the stochastic modeler(s). Samples: The final outputs of CSTEP from the ...Description: The CSTEP 'Cluster Sampling for Tail Estimation of Probability' system is a desktop-based application to assist actuaries in efficient stochastic modeling through the implementation of Representative Scenario approaches. Its goal is to provide actuaries with an open-source HPC 'High Performance Computation' research platform to select a sample set of representative 'pivot' risk scenarios through user-specified or user-researched distance definitions.
Hide- Authors: Paul H Johnson, Yvonne Chueh
- Date: Aug 2011
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Modeling & Statistical Methods>Stochastic models; Technology & Applications>Analytics and informatics