Statistical Cosmology
Statistical Cosmology is a systematic framework within observational cosmology that employs statistical methods to infer the large-scale structure, evolution, and fundamental parameters of the universe from astronomical data, distinguishing itself through the quantification of uncertainties and the extraction of cosmological signals from noisy or incomplete observations.
554
Publications
35.1K
Citations
1.8K
Authors
593
Institutions
Publications per year
2017–2026
181
Parents
554
Bayes in the sky: Bayesian inference and model selection in cosmology
Contemporary Physics · 2008 · 1.2K citations · Full text
Natural Sciences, Astronomy, Physics +17
Planck evidence for a closed Universe and a possible crisis for cosmology
Nature Astronomy · 2019 · 598 citations · Full text
Natural Sciences, Astronomy, Physics +16
1–5 of 554
1.8K
11
h-index
9
h-index
9
h-index
Flatiron Health (United States), United States
8 publications · 278 citations
8
h-index
8
h-index
1–5 of 1.8K
593

Centre National de la Recherche Scientifique
Paris, France
30 h-index
96 publications
5.1K citations
University of California, Berkeley
Berkeley, United States
23 h-index
59 publications
5.5K citations
University College London
London, United Kingdom
21 h-index
50 publications
3.5K citations
Institut d'Astrophysique de Paris
Paris, France
21 h-index
45 publications
3.1K citations
Princeton University
Princeton, United States
20 h-index
44 publications
3.8K citations
University of Sussex
Brighton, United Kingdom
19 h-index
34 publications
4K citations
University of Oxford
Oxford, United Kingdom
17 h-index
22 publications
4.7K citations
Max Planck Institute for Astrophysics
Garching, Germany
17 h-index
33 publications
2.5K citations
1–8 of 593
97 publications · 6.8K citations
39
h-index
ApJ · 47 publications · 4.3K citations
32
h-index
JCAP · 50 publications · 2.1K citations
29
h-index
28 publications · 3.2K citations
23
h-index
22 publications · 2K citations
18
h-index
1–5