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INFN School of Statistics 2017
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Europe/Rome
Hotel Continental Terme, Ischia
Hotel Continental Terme, Ischia
Description
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 7th to 11th of May 2017.
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 with interactive exercises.
For further information, please contact infnstat2017@na.infn.it.
Previous editions:
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 7th to 11th of May 2017.
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 with interactive exercises.
For further information, please contact infnstat2017@na.infn.it.
Previous editions:
Participants
Aaron Capon
ADRIANO DI GIOVANNI
Alessandro Lapertosa
Alexander Helmboldt
andrea mauri
Andrea Rucci
Andreas Pichler
Anna Monda
Benedetto Di Ruzza
Bernadette Kolbinger
Birgit Neumair
Camilla Galloni
Chiara La Licata
Christoph Wiesinger
Daniele Guffanti
David Shope
Davide Fazzini
Deborah Pinna
Domenico Diacono
Dominik Mitzel
Elena Graverini
Elena Voevodina
Fabio Cappella
Fabrizio Grosa
Federico Betti
Filippo Errico
Francesco Brivio
Franco Ligabue
Giacomo De Pietro
Giada Mancini
Gioacchino Alex Anastasi
Gioacchino Vino
Giorgia Miniello
Giorgia Rauco
Giovanni Benato
Giovanni Francesco Ciani
Giulia Gonella
Guido Fantini
hadi mehrabpour
Iaroslava Bezshyiko
Ivan Ravasenga
Jelena Jovicevic
Krzysztof Kacprzak
Laura Paulina Sinkunaite
Leonardo Benjamin Rizzuto
Lisa Benato
Lorenzo Capriotti
Luca Barioglio
Luigi Longo
Luigi Pertoldi
Marcela Vitti
Marco Santimaria
Marco Scodeggio
Marco Sessa
Marianna Fontana
Marica Baldoncini
Marilea Reale
Martina Vit
Meike Danisch
Michele Atzeni
Michele Boggia
Nazar Bartosik
Niccolò Di Lalla
Nico Giangiacomi
Nicola Giacobbo
Nicolo' Jacazio
Octavio Escalante Aguirre
Rachele Luzi
Rizalina Mingazheva
Rosa Mele
Sebastian Lehner
Valentina Vecchio
Valeria Di Felice
Valerio Gentile
Vincenzo Caracciolo
Wajid Ali Khan
Wojciech Krzemien
Xuefeng Ding
