We discuss several popular statistical learning methods used in high-energy- and astro-physics analysis. After a short motivation for statistical learning we present the most popular algorithms and discuss several expamles from current research in partical- and astro-physics. The statistical learning methods are compared with each other and with standard methods for the respective application
Abstract This review outlines concepts of mathematical statistics, elements of probability theory, h...
In these lectures I cover a number of topics in cosmological data analysis. I concentrate on general...
International audienceAstrostatistics is spreading through the field of astrophysics at an increasin...
This thesis studies the performance of statistical learning methods in high energy and astrophysics...
This concise set of course-based notes provides the reader with the main concepts and tools needed t...
https://stat4astro2017.sciencesconf.org/International audienceThis book includes the lectures given ...
The exchange of ideas between statistical physics and computer science has been very fruitful and is...
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. Thi...
We illustrate some statistical challenges in Astrophysics and Cosmology, inparticular noting the app...
This chapter gives an overview of statistical methods used in high-energy physics. In statistics, we...
This chapter gives an overview of statistical methods used in high-energy physics. In statistics, we...
This document introduces basics in data preparation, feature selection and learning basics for high ...
The lectures will cover multivariate statistical methods and their applications in High Energy Physi...
The lectures will cover multivariate statistical methods and their applications in High Energy Physi...
The exchange of ideas between computer science and statistical physics has advanced the understandin...
Abstract This review outlines concepts of mathematical statistics, elements of probability theory, h...
In these lectures I cover a number of topics in cosmological data analysis. I concentrate on general...
International audienceAstrostatistics is spreading through the field of astrophysics at an increasin...
This thesis studies the performance of statistical learning methods in high energy and astrophysics...
This concise set of course-based notes provides the reader with the main concepts and tools needed t...
https://stat4astro2017.sciencesconf.org/International audienceThis book includes the lectures given ...
The exchange of ideas between statistical physics and computer science has been very fruitful and is...
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. Thi...
We illustrate some statistical challenges in Astrophysics and Cosmology, inparticular noting the app...
This chapter gives an overview of statistical methods used in high-energy physics. In statistics, we...
This chapter gives an overview of statistical methods used in high-energy physics. In statistics, we...
This document introduces basics in data preparation, feature selection and learning basics for high ...
The lectures will cover multivariate statistical methods and their applications in High Energy Physi...
The lectures will cover multivariate statistical methods and their applications in High Energy Physi...
The exchange of ideas between computer science and statistical physics has advanced the understandin...
Abstract This review outlines concepts of mathematical statistics, elements of probability theory, h...
In these lectures I cover a number of topics in cosmological data analysis. I concentrate on general...
International audienceAstrostatistics is spreading through the field of astrophysics at an increasin...