Add branch: Astrostatistics

[katieefrey]

New astrostats branch, draft version 3.

Working with Eric Feigelson (AAS Editor) and Vinay Kashyap (CfA).

Found under "Interdisciplinary astronomy"? "computational astronomy"?

astrostats_v3.xlsx

[katieefrey]

A lot of emails and a couple of months later, this is the most recent draft of the astrostats section.

Comments and feedback (especially active dialogue) would be welcome through the end of August before incorporating in the upcoming 3.0.0 release.

astrostats_v6.xlsx

[katieefrey]

branch accepted.

[katieefrey]

List of concepts added or affected by this branch, to ease searching issues in the future:

Affine invariant Akaike information criterion Algorithms Astroinformatics Astrostatistics Astrostatistics distributions Astrostatistics strategies Astrostatistics techniques Astrostatistics tools Bayes factor Bayes' Theorem Bayesian Bayesian information criterion Bootstrap Chi-squared statistic Classification Clustering Confidence interval Convolutional neural networks Credible region Cross-validation Deconvolution Detection Dimensionality reduction Expectation-Maximization Algorithm F test Fast Fourier transform Fisher's Information Gamma distribution Gaussian mixture model Gaussian Processes regression Gibbs Sampler Hierarchical models Importance sampling Interdisciplinary astronomy Irregular cadence Kolmogorov-Smirnov test Kullback-Leibler distance Light curve classification Likelihood ratio test Linear regression Lomb-Scargle periodogram Machine Learning Markov chain Monte Carlo Maximum likelihood Measurement error model Metropolis-Hastings Minimum chi-squared Minimum spanning tree Mixture model Model selection Multivariate analysis Nested sampling Neural networks Nonlinear regression Nonparametric hypothesis tests Nonparametric inference Normal distribution Outlier detection Parametric hypothesis tests Pareto distribution Period search Phase dispersion minimization Poisson distribution Posterior distribution Principal component analysis Prior distribution Random Forests Red noise Regression Robust Sampling distribution Single-linkage hierarchical clustering Smoothing Spatial point processes Support vector machine Survival analysis Time series analysis Transient detection Two-point correlation function Uncertainty bounds Voronoi tessellation Wavelet analysis