Name: Bayesian Astrophysics (Canary Islands Winter School of Astrophysics) (en Inglés)
Price: 221190.00 CLP
Availability: InStock
Author: Asensio Ramos, Andrés ; Arregui, Íñigo
ISBN: 9781107102132

portada Bayesian Astrophysics (Canary Islands Winter School of Astrophysics) (en Inglés)

Formato

Libro Físico

Ilustrado por

Andrés Asensio Ramos

Íñigo Arregui

Editorial

Cambridge University Press

Autor

Asensio Ramos, Andrés ; Arregui, Íñigo

Año

2018

Idioma

Inglés

N° páginas

204

Encuadernación

Tapa Dura

Dimensiones

25.4 x 18.1 x 1.5 cm

Peso

0.56 kg.

ISBN13

9781107102132

N° edición

Categorías

Astrofísica

Bayesian Astrophysics (Canary Islands Winter School of Astrophysics) (en Inglés)

Andrés Asensio Ramos (Ilustrado por) · Íñigo Arregui (Ilustrado por) · Cambridge University Press · Tapa Dura

Libro Nuevo

$ 221.190

$ 340.290

Ahorras: $ 119.100

35% descuento

Envío normal

Origen: España (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 10 de Mayo y el Viernes 17 de Mayo.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Bayesian Astrophysics (Canary Islands Winter School of Astrophysics) (en Inglés)"

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.