Statistical Methods for Data Analysis: With Applications in Particle Physics
Lista, Luca
- 出版商: Springer
- 出版日期: 2023-04-27
- 售價: $3,500
- 貴賓價: 9.5 折 $3,325
- 語言: 英文
- 頁數: 334
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031199332
- ISBN-13: 9783031199332
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相關分類:
Data Science、物理學 Physics
海外代購書籍(需單獨結帳)
相關主題
商品描述
This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP).
It starts with an introduction to probability theory and basic statistics, mainly intended as a refresher from readers' advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. Following, the author discusses Monte Carlo methods with emphasis on techniques like Markov Chain Monte Carlo, and the combination of measurements, introducing the best linear unbiased estimator. More advanced concepts and applications are gradually presented, including unfolding and regularization procedures, culminating in the chapter devoted to discoveries and upper limits.
The reader learns through many applications in HEP where the hypothesis testing plays a major role and calculations of look-elsewhere effect are also presented. Many worked-out examples help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data.
商品描述(中文翻譯)
這本第三版的書籍擴充了原有的內容。大部分的文字已經經過審查和澄清。更多的重點放在機器學習上,包括更現代的概念和例子。這本書提供讀者進行實驗數據統計分析所需的主要概念和工具,特別是在高能物理(HEP)領域。
它從概率論和基本統計學的介紹開始,主要是為了幫助讀者從他們的高年級本科學習中複習,同時也幫助他們在後續應用中清楚地區分頻率主義和貝葉斯主義的方法和解釋。接下來,作者討論了蒙特卡羅方法,重點介紹了馬爾可夫鏈蒙特卡羅等技術,以及測量結果的組合,引入了最佳線性無偏估計器。逐漸介紹了更高級的概念和應用,包括展開和正則化程序,最終在一章中介紹了發現和上限。
讀者通過在高能物理領域的許多應用中學習,其中假設檢驗起著重要的作用,並且還介紹了計算其他可能性效應的方法。許多實例幫助初學者和研究生了解將理論概念應用於實際數據時可能遇到的問題。
作者簡介
Luca Lista is full professor at University of Naples Federico II and Director of INFN Naples Unit. He is an experimental particle physicist and member of the CMS collaboration at CERN. He participated in the BABAR experiment at SLAC and L3 experiment at CERN. His main scientific interests are data analysis, statistical methods applied to physics and software development for scientific applications.
作者簡介(中文翻譯)
Luca Lista是那不勒斯大學的正教授,也是那不勒斯INFN單位的主任。他是一位實驗粒子物理學家,並且是CERN的CMS合作組織的成員。他曾參與SLAC的BABAR實驗和CERN的L3實驗。他的主要科學興趣包括數據分析、統計方法應用於物理學以及科學應用軟件開發。