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INFN School of Statistics 2015
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Hotel Continental Terme, Ischia
Hotel Continental Terme, Ischia
Descrizione
The INFN School Of Statistics intends to provide an overview of statistical methods and tools used in particle, astro-particle and nuclear physics.
This School is targeted towards physicists interested in data analysis ranging from PhD students to senior physicists willing to extend their knowledge and skills in the field of statistical methods. The School takes place in Ischia (Napoli, Italy) from 25th to 29th of May 2015.
Lectures are subdivided into five sections: the first section will be an introduction to probability theory, including fundamental definitions of frequentist and Bayesian approaches to probability. The second section is devoted to statistical methods, including parameter estimates, maximum likelihood and chi-squared methods. The third section will provide an overview of statistical methods adopted to define confidence intervals and upper limits. The fourth section will cover multivariate techniques, including artificial neural networks and boosted decision trees. Finally, the fifth section will present the state-of-the-art software tools used for statistical evaluations.
Two afternoon interactive sessions devoted to practical implementations and exercises are foreseen.
Contact: infn_stat_2015@na.infn.it
Previous edition:
This school is co-funded by INFN, INFN - Sezione di Napoli, University "Federico II", Naples, and by the Department of Physics of University "Federico II", Naples.
This School is targeted towards physicists interested in data analysis ranging from PhD students to senior physicists willing to extend their knowledge and skills in the field of statistical methods. The School takes place in Ischia (Napoli, Italy) from 25th to 29th of May 2015.
Lectures are subdivided into five sections: the first section will be an introduction to probability theory, including fundamental definitions of frequentist and Bayesian approaches to probability. The second section is devoted to statistical methods, including parameter estimates, maximum likelihood and chi-squared methods. The third section will provide an overview of statistical methods adopted to define confidence intervals and upper limits. The fourth section will cover multivariate techniques, including artificial neural networks and boosted decision trees. Finally, the fifth section will present the state-of-the-art software tools used for statistical evaluations.
Two afternoon interactive sessions devoted to practical implementations and exercises are foreseen.
Contact: infn_stat_2015@na.infn.it
Previous edition:
Partecipanti
Alessandro Scordo
Alessio Boletti
Anastasia Maria Barbano
Andrea MOLINARIO
Anna Lupato
Annarita Buonaura
Anthony Palladino Jr
Bruno Rodriguez Cardoso
Claudio Caputo
Claudio Savarese
Elena Perez Del Rio
Elisa Minucci
Emanuele Michielin
Fabio Ferrari
Fabio Valerio Massoli
Federica Fabbri
Federico Donnini
Francesca Bellini
Francesco Cirotto
Gabriele Sirri
Georgios Krintiras
Gian Luca Pinna Angioni
Giovanni Bocchi
Giovanni De Lellis
Giovanni Gallucci
Giulia Calzolai
Giuliana Galati
Giuliano Gustavino
Glen Cowan
Guglielmo De Nardo
Hannes-S. Zechlin
Helge Voss
Jan Conrad
Jose Osvaldo Gonzalez Hernandez
Ka Wa Tsang
Katharina von Sturm
Knut Morå
Laura Pasqualini
Leonardo Cristella
Linda Finco
Lorenzo Sestini
Luca Lista
Lucia Ambrogi
Luciano Libero Pappalardo
Luisa Alunni Solestizi
Marco Selvi
Marina Giarrusso
Mario Pelliccioni
Marta Crispoltoni
Marta D'Angelo
Massimiliano Clemenza
Massimiliano Fiorini
Matteo Cadeddu
Maxim Alexeev
Michal Zbigniew Silarski
Muhammad Bilal Manzoor Kiani
Muhammad Gul
Nicoletta Belloli
Nicoletta Mauri
Rachele Desiante
Riccardo Avigo
Riccardo Russo
Rocco Lico
Roger Barlow
Silvia Biondi
Silvia Nava
Simone Ceruti
Simone Michele Mazza
Tak Shun Lau
Tommaso Dorigo
Valerio Bortolotto
Vieri Candelise
Vittoria D'Avino
Wing Sheung Chan
Yang Zhang
