Stochastic Engine Final Report: Applying Markov Chain Monte Carlo Methods with Importance Sampling to Large-Scale Data-Driven Simulation | Zendy

Ronald E. Glaser | Zendy; G. Jóhannesson | Zendy; Samarjit Sengupta | Zendy; Branko Kosović | Zendy; Steven F. Carle | Zendy; G Franz | Zendy; Roger D. Aines | Zendy; J Nitao | Zendy; W Hanley | Zendy; A Ramirez | Zendy; R. L. Newmark | Zendy; V Johnson | Zendy; K Dyer | Zendy; Kevin Henderson | Zendy; G Sugiyama | Zendy; T Hickling | Zendy; M. E. Pasyanos | Zendy; David Jones | Zendy; Rüdiger Grimm | Zendy; Richard A. Levine | Zendy

Open Access

Stochastic Engine Final Report: Applying Markov Chain Monte Carlo Methods with Importance Sampling to Large-Scale Data-Driven Simulation

Author(s) -

Ronald E. Glaser,

G. Jóhannesson,

Samarjit Sengupta,

Branko Kosović,

Steven F. Carle,

G Franz,

Roger D. Aines,

J Nitao,

W Hanley,

A Ramirez,

R. L. Newmark,

V Johnson,

K Dyer,

Kevin Henderson,

G Sugiyama,

T Hickling,

M. E. Pasyanos,

David Jones,

Rüdiger Grimm,

Richard A. Levine

Publication year - 2004

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/15009813

Subject(s) - computer science , markov chain monte carlo , robustness (evolution) , monte carlo method , markov chain , sampling (signal processing) , scale (ratio) , monte carlo tree search , bayesian probability , representation (politics) , mathematical optimization , machine learning , mathematics , artificial intelligence , statistics , biochemistry , chemistry , physics , filter (signal processing) , quantum mechanics , computer vision , gene , politics , law , political science

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