Issues in gravitational wave data analysis

Abstract

Data analysis is the application of probability and statistics to draw inference from observation. Is a signal present or absent? Is the source an inspiraling binary system or a supernova? At what point in the sky is the radiation incident from? In these notes I want to address how two different statistical methodologies --- Bayesian and Frequentist --- approach the problem of statistical inference

12 pages, LaTeX, sprocl.sty, to appear in the Proceedings of the Second Eduardo Amaldi Meeting, 1-4 July 1997

References in corpus (2)

• Detecting a stochastic background of gravitational radiation: Signal processing strategies and sensitivities
• The Sensitivity of Ligo to a Stochastic Background, and its Dependance on the Detector Orientations

Cited by in corpus (4)

• An excess power statistic for detection of burst sources of gravitational radiation
• Coherent Bayesian inference on compact binary inspirals using a network of interferometric gravitational wave detectors
• Coherent Bayesian analysis of inspiral signals
• Data Analysis of Massive Gravitational Waves from Gamma Ray Bursts