Open AccessBook
Data analysis : a Bayesian tutorial
TLDR
This tutorial jumps right in to the power ofparameter estimation without dragging you through the basic concepts of parameter estimation.Abstract:
1. The Basics 2. Parameter Estimation I 3. Parameter Estimation II 4. Model Selection 5. Assigning Probabilities 6. Non-parametric Estimation 7. Experimental Design 8. Least-Squares Extensions 9. Nested Sampling 10. Quantification Appendices Bibliographyread more
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Journal ArticleDOI
Cosmological parameters from CMB and other data: A Monte Carlo approach
Antony Lewis,Sarah Bridle +1 more
TL;DR: In this paper, a fast Markov chain Monte Carlo exploration of cosmological parameter space is presented, which combines data from the CMB, HST Key Project, 2dF galaxy redshift survey, supernovae type Ia and big-bang nucleosynthesis.
Journal ArticleDOI
Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses
Farhan Feroz,Michael P. Hobson +1 more
TL;DR: In this article, the authors build on the work of Shaw et al. and present three new methods for sampling and evidence evaluation from distributions that may contain multiple modes and significant degeneracies in very high dimensions.
Journal ArticleDOI
Trigonometric parallaxes of high mass star forming regions: the structure and kinematics of the milky way
Mark J. Reid,Karl M. Menten,Andreas Brunthaler,Xingwu Zheng,Thomas M. Dame,Ye Xu,Yuefang Wu,B. Zhang,Alberto Sanna,Mayumi Sato,Kazuya Hachisuka,Y. K. Choi,K. Immer,L. Moscadelli,K. L. J. Rygl,A. Bartkiewicz +15 more
TL;DR: In this paper, the authors estimate the radius to the Galactic center, R-0, to be 8.34 +/- 0.16 kpc, a circular rotation speed at the Sun, Theta(0), to be 240 +/- 8 km s(-1), and a rotation curve that is nearly flat.
Journal ArticleDOI
Multimodal nested sampling: an efficient and robust alternative to MCMC methods for astronomical data analysis
Farhan Feroz,Michael P. Hobson +1 more
TL;DR: Three new methods for sampling and evidence evaluation from distributions that may contain multiple modes and significant degeneracies in very high dimensions are presented, leading to a further substantial improvement in sampling efficiency and robustness and an even more efficient technique for estimating the uncertainty on the evaluated evidence.
Journal ArticleDOI
Cosmology and Fundamental Physics with the Euclid Satellite
Luca Amendola,Stephen Appleby,Anastasios Avgoustidis,David Bacon,Tessa Baker,Marco Baldi,Marco Baldi,Marco Baldi,Nicola Bartolo,Nicola Bartolo,Alain Blanchard,Camille Bonvin,Stefano Borgani,Stefano Borgani,Enzo Branchini,Enzo Branchini,Clare Burrage,Stefano Camera,Carmelita Carbone,Carmelita Carbone,Luciano Casarini,Luciano Casarini,Mark Cropper,Claudia de Rham,J. P. Dietrich,Cinzia Di Porto,Ruth Durrer,Anne Ealet,Pedro G. Ferreira,Fabio Finelli,Juan Garcia-Bellido,Tommaso Giannantonio,Luigi Guzzo,Luigi Guzzo,Alan Heavens,Lavinia Heisenberg,Catherine Heymans,Henk Hoekstra,Lukas Hollenstein,Rory Holmes,Zhiqi Hwang,Knud Jahnke,Thomas D. Kitching,Tomi S. Koivisto,Martin Kunz,Giuseppe Vacca,Eric V. Linder,M. March,Valerio Marra,Carlos Martins,Elisabetta Majerotto,Dida Markovic,David J. E. Marsh,Federico Marulli,Federico Marulli,Richard Massey,Yannick Mellier,Francesco Montanari,David F. Mota,Nelson J. Nunes,Will J. Percival,Valeria Pettorino,Valeria Pettorino,Cristiano Porciani,Claudia Quercellini,Justin I. Read,Massimiliano Rinaldi,Domenico Sapone,Ignacy Sawicki,Roberto Scaramella,Constantinos Skordis,Constantinos Skordis,Fergus Simpson,Andy Taylor,Shaun A. Thomas,Roberto Trotta,Licia Verde,Filippo Vernizzi,Adrian Vollmer,Yun Wang,Jochen Weller,T. G. Zlosnik +81 more
TL;DR: Euclid is a European Space Agency medium-class mission selected for launch in 2020 within the cosmic vision 2015-2025 program as discussed by the authors, which will explore the expansion history of the universe and the evolution of cosmic structures by measuring shapes and red-shift of galaxies as well as the distribution of clusters of galaxies over a large fraction of the sky.