Bayesian Astrophysics: 26 (Canary Islands Winter School of Astrophysics, Series Number 26) - Image 1

Price loading...

Cambridge University Press Bayesian Astrophysics: 26 (Canary Islands Winter School of Astrophysics, Series Number 26)

Name: Bayesian Astrophysics: 26 (Canary Islands Winter School of Astrophysics, Series Number 26)
Brand: Cambridge University Press

Theoretical & Mathematical Astronomy

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Bayesian methods are being increasingly employed in many different areas of research in the physical sciences. In astrophysics, models are used to make predictions to be compared to observations. These observations offer information that is incomplete and uncertain, so the comparison has to be pursued by following a probabilistic approach. With contributions from leading experts, this volume covers the foundations of Bayesian inference, a description of computational methods, and recent results from their application to areas such as exoplanet detection and characterisation, image reconstruction, and cosmology. It appeals to both young researchers seeking to learn about Bayesian methods as well as to astronomers wishing to incorporate these approaches in their research areas. It provides the next generation of researchers with the tools of modern data analysis that are already becoming standard in current astrophysical research.

Product Specifications

Brand: Cambridge University Press
Format: Hardcover
ASIN: 1107102138
Category: Books > Subjects > Science, Nature & Maths > Astronomy & Space Science > Astronomy > Theoretical & Mathematical Astronomy
Domain: Amazon UK
Release Date: 26 April 2018
Listed Since: 26 November 2017

Barcode

No barcode data available

Cambridge University Press Bayesian Astrophysics: 26 (Canary Islands Winter School of Astrophysics, Series Number 26)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Radiative Transfer in Stellar and Planetary Atmospheres: 29 (Canary Islands Winter School of Astrophysics, Series Number 29)

Cambridge Cosmic Magnetic Fields - Astrophysics Winter School 25

Practical Statistics for Astronomers: 8 (Cambridge Observing Handbooks for Research Astronomers, Series Number 8)

Statistical Challenges in Astronomy

Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support

Observational Astrophysics

Bayesian Probability Theory: Applications in the Physical Sciences

3D Spectroscopy in Astronomy: 17 (Canary Islands Winter School of Astrophysics)

X-Ray Binaries: 26 (Cambridge Astrophysics, Series Number 26)

Astrophysics for Physicists

Precision Cosmology: The First Half Million Years

Astrometry for Astrophysics: Methods, Models, and Applications

Statistical Challenges in 21st Century Cosmology (IAU S306): Proceedings of the 306th Symposium of the International Astronomical Union Held in ... Astronomical Union Symposia and Colloquia)

High Time-Resolution Astrophysics: 27 (Canary Islands Winter School of Astrophysics, Series Number 27)

Measuring the Universe: A Multiwavelength Perspective

Current Trends in Bayesian Methodology with Applications

Modeling and Reasoning with Bayesian Networks

Astronomy Methods: A Physical Approach to Astronomical Observations (Cambridge Planetary Science)

Theory of Stellar Atmospheres: An Introduction to Astrophysical Non-equilibrium Quantitative Spectroscopic Analysis (Princeton Series in Astrophysics): 26

Fundamentals of Nonparametric Bayesian Inference: 44 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)

Predictive Statistics: Analysis and Inference beyond Models: 46 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 46)

Bayesian Compendium

Fundamentals of Astrophysics

Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)