Fetching the paper…

Reading the bibliography…

2017

GLASS: A General Likelihood Approximate Solution Scheme

Gratton, Steven

Original
PDF
Post on X

Understand

We present a technique for constructing suitable posterior probability distributions in situations for which the sampling distribution of the data is not known.

This is very useful for modern scientific data analysis in the era of "big data", for which exact likelihoods are commonly either unknown, computationally prohibitively expensive or inapplicable because of systematic effects in the data.
The scheme involves implicitly computing the changes in an approximate sampling distribution as model parameters are changed via explicitly-computed moments of statistics constructed from the data.

GLASS: A General Likelihood Approximate Solution Scheme · Around

Built on

Numerical Recipes: The Art of Scientific Computing
W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery · 1986
Earlier work this paper cites.
Probability Theory: The Logic of Science
E. T. Jaynes · 2003
Earlier work this paper cites.
Likelihood Analysis of CMB Temperature and Polarization Power Spectra
Samira Hamimeche and Antony Lewis · 2008
Earlier work this paper cites.

Similar

Planck 2013 results. XV. CMB power spectra and likelihood
P. A. R. Ade et al · 2014
Cited alongside, same era.
Large-scale cosmic microwave background temperature and polarization cross-spectra likelihoods
A. Mangilli, S. Plaszczynski, and M. Tristram · 2015
Cited alongside, same era.
Planck 2015 results. XIII. Cosmological parameters
P. A. R. Ade et al · 2016
Cited alongside, same era.
In preparation
George Efstathiou and Steven Gratton
Cited in the paper.

Then

Planck 2015 results. XI. CMB power spectra, likelihoods, and robustness of parameters
N. Aghanim et al · 2016
Later among the works it cites.
Optimal Belief Approximation
Original
R. H. Leike and T. A. Enßlin · 2016
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…