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Statistical inference / Measurement / Econometrics / Likelihood function / Gravitational wave / LIGO / Confidence interval / Dimensional analysis / Statistics / Estimation theory / Gravitation


Accelerated gravitational-wave parameter estimation with reduced order modeling Priscilla Canizares,1 Scott E. Field,2 Jonathan Gair,1 Vivien Raymond,3 Rory Smith,3 and Manuel Tiglio2, 4, 5 1 Institute of Astronomy, Madi
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Document Date: 2014-04-24 17:41:27

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City

Pasadena / Cambridge / /

Company

LIGO Laboratory / SIAM Journal / Monte Carlo / /

Country

United States / United Kingdom / /

Facility

College Park / Joint Space Sciences Institute / Tryst DC Coffeehouse Bar / LAL pipeline / LIGO Laboratory / University of Maryland / California Institute of Technology / Institute of Astronomy / LIGO Algorithm Library / /

IndustryTerm

e-prints / inner product / search pipeline / gravitational-wave detector network / genetic algorithm-based symbolic regression software / greedy algorithm / numerical algorithms / noise-weighted inner product / found using a genetic algorithm-based symbolic regression software / /

Organization

California Institute of Technology / Maryland Center for Fundamental Physics / National Science Foundation / University of Maryland / University of Maryland / College Park / Joint Space Sciences Institute / VR / Department of Physics / Institute of Astronomy / United States National Science Foundation / Royal Society / Center for Scientific Computation and Mathematical Modeling / /

Person

L. R. Price / William Farr / Larry Price / Chad Galley / Collin Capano / R. Abbott / Alan Weinstein / Chase Tolman / Priscilla Canizares / Leo Singer / I. Mandel / V / /

Position

T. D. / Singer / /

Product

Nikon D80 Digital Camera / LALInference / LALInference ROQ / /

ProgrammingLanguage

L / /

ProvinceOrState

Maryland / California / /

PublishedMedium

Classical and Quantum Gravity / /

Technology

php / PDF / greedy algorithm / http / /

URL

http /

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