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Numerical Methods

  • Kenneth Lange
Chapter
Part of the Springer Texts in Statistics book series (STS, volume 0)

Abstract

Stochastic modeling relies on a combination of exact solutions and numerical methods. As scientists and engineers tackle more realistic models, the symmetries supporting exact solutions fade. The current chapter sketches a few of the most promising numerical techniques. Further improvements in computing, statistics, and data management are bound to drive the rapidly growing and disorganized discipline of computational probability for decades to come.

Keywords

Markov Chain Equilibrium Distribution Stochastic Simulation Transition Probability Matrix Renewal Equation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Departments of Biomathematics, Human Genetics, and StatisticsUniversity of California, Los AngelesLos AngelesUSA

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