= Introductory reading materials for GW data analysis and theory =

<<TableOfContents(3)>>

== General ==

 * "Maggiore M-Gravitational waves vol.1 Theory and Experiments-Oxford University Press (2008)" for [Data analysis and theory]
  *http://gwwiki.icrr.u-tokyo.ac.jp/JGWwiki/KAGRA/KSC/EducationTraining/ReadingMaterials/DATheory

 * Jolien D. E. Creighton and Warren G. Anderson. Gravitational-Wave Physics and Astronomy. (Wiley-VCH)

== General(data analysis) ==

 * Andrés Asensio Ramos and Íñigo Arregui. Bayesian Astrophysics. (Canary Islands Winter School of Astrophysics Book 26)
 
 * Sophocles J. Orfanidis. Introduction to Signal Processing. (Prentice Hall)

 * An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models. Publications of the Astronomical Society of Australia (2019), 36, e010, 12 pages doi:10.1017/pasa.2019.2

== General Relativity ==

=== Numerical relativity ===

== CBC ==

== Unmodeled burst ==

== Continuous ==

== Stochastic ==