Inference from surveys about Dark Energy

Mathematics – Probability

Scientific paper

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Dark Energy, Probability Theory, Stochastic Processes, And Statistics, Relativity And Gravitation, Cosmology

Scientific paper

The quest to discover the nature of Dark Energy has raised a number of issues of data analysis and technique which have wider applicability, so here I will focus on some general discovery techniques. In this review, I cover a number of topics including recent advances in parameter estimation and model selection, as well as reviewing techniques for dealing with data with near-singular correlation properties. In addition, I look at survey design methods for model selection, with an example to distinguish Dark Energy from beyond-Einstein gravity theories.

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