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Bayesian methods for the physical sc...

Andreon, Stefano.

Bayesian methods for the physical sciences : learning from examples in astronomy and physics

紀錄類型:	書目-語言資料,印刷品 : 單行本
副題名:	learning from examples in astronomy and physics
作者:	AndreonStefano.,
其他作者:	WeaverBrian.,
出版地:	Cham
出版者:	Springer;
出版年:	2015.
面頁冊數:	xi, 238 p.ill. (some col.) : 23 cm.;
集叢名:	Springer series in astrostatistics
標題:	Bayesian statistical decision theory. -
標題:	Mathematical physics. -
標題:	Statistical astronomy. -
摘要註:	"Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by providing the tools they will need to analyze their own data. Chapters in this book provide a statistical base from which to approach new problems, including numerical advice and a profusion of examples. The examples are engaging analyses of real-world problems taken from modern astronomical research. The examples are intended to be starting points for readers as they learn to approach their own data and research questions. Acknowledging that scientific progress now hinges on the availability of data and the possibility to improve previous analyses, data and code are distributed throughout the book. The JAGS symbolic language used throughout the book makes it easy to perform Bayesian analysis and is particularly valuable as readersmay use it in a myriad of scenarios through slight modifications"--Back cover.
ISBN:	9783319367835
內容註:	Recipes for a Good Statistical Analysis A Bit of Theory ABit of Numerical Computation Single Parameter Models The Prior Multi-parameters Models Non-random Data Collection Fitting Regression Models Model Checking and Sensitivity Analysis Bayesian vs Simple Methods Appendix A: ProbabilityDistributions Appendix B: The Third Axiom of Probability, Conditional Probability, Independence and Conditional Independence.

Bayesian methods for the physical sciences : learning from examples in astronomy and physics
Andreon, Stefano.

Bayesian methods for the physical sciences : learning from examples in astronomy and physics / Stefano Andreon, Brian Weaver. - Cham : Springer, 2015.. - xi, 238 p. ; ill. (some col.) ; 23 cm.. - (Springer series in astrostatistics).
Recipes for a Good Statistical Analysis.
Includes bibliographical references..
ISBN 9783319367835ISBN 9783319152875ISBN 3319152874ISBN 3319367838
Bayesian statistical decision theory.Mathematical physics.Statistical astronomy.

Weaver, Brian.

Bayesian methods for the physical sciences : learning from examples in astronomy and physics
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