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Publishing statistical models: Getting the most out of particle physics experiments / Cranmer, Kyle (New York U.) ; Kraml, Sabine (LPSC, Grenoble) ; Prosper, Harrison B. (Florida State U.) ; Bechtle, Philip (Bonn U.) ; Bernlochner, Florian U. (Bonn U.) ; Bloch, Itay M. (Tel Aviv U. (main)) ; Canonero, Enzo (Genoa U.) ; Chrzaszcz, Marcin (Cracow, INP) ; Coccaro, Andrea (INFN, Genoa) ; Conrad, Jan (Stockholm U., OKC) et al.
The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing the full statistical models and discuss the technical developments that make this practical. [...]
arXiv:2109.04981.- 2022-01-25 - 60 p. - Published in : SciPost Phys. 12 (2022) 037 Fulltext: 2109.04981 - PDF; document - PDF;

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Analysis Description Languages for the LHC / Sekmen, Sezen (Kyungpook Natl. U.) ; Gras, Philippe (DAPNIA, Saclay) ; Gray, Lindsey (Fermilab) ; Krikler, Benjamin (Bristol U.) ; Pivarski, Jim (Princeton U.) ; Prosper, Harrison B. (Florida State U.) ; Rizzi, Andrea (INFN, Pisa) ; Unel, Gokhan (UC, Irvine) ; Watts, Gordon (Washington U., Seattle)
An analysis description language is a domain specific language capable of describing the contents of an LHC analysis in a standard and unambiguous way, independent of any computing framework. It is designed for use by anyone with an interest in, and knowledge of, LHC physics, i.e., experimentalists, phenomenologists and other enthusiasts. [...]
arXiv:2011.01950; FERMILAB-PUB-21-145-SCD.- SISSA, 2020-09-25 - 5 p. - Published in : PoS LHCP2020 (2021) 065 Fulltext: 2011.01950 - PDF; fermilab-pub-21-145-scd - PDF; PoS(LHCP2020)065 - PDF; External link: Fermilab Library Server
In : 8th Conference of Large Hadron Collider Physics (LHCP), Online, 25 - 30 May 2020, pp.065

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Practical Statistics for Particle Physicists / Prosper, Harrison B (Florida State U.)
These lectures cover the basic ideas of frequentist and Bayesian analysis and introduce the mathematical underpinnings of supervised machine learning. In order to focus on the essentials, we illustrate the ideas using two simple examples from particle physics..
2019 - 32 p. - Published in : CERN Yellow Rep. School Proc. 6 (2019) 261-292 Fulltext: PDF;
In : The 2018 European School of High-Energy Physics, Maratea, Italy, 20 Jun - 3 Jul 2018, pp.261-292 (CERN-2019-006)

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Experience from Searches at the Tevatron / Prosper, Harrison B (Florida State U.)
I describe, by way of examples, the experience physicists have gained during twodecades of searching for physics, both expected and new, at the FermilabTevatron..
Geneva : CERN, 2011 - 10 p. - Published in : 10.5170/CERN-2011-006.72 Published version from CERN: PDF;
In : PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding, CERN, Geneva, Switzerland, 17 - 20 Jan 2011, pp.72-81 (CERN-2011-006)

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Practical Statistics for Particle Physicists / Prosper, Harrison B. (Florida State U.)
These lectures introduce the basic ideas and practices of statistical analysis for particle physicists, using a real-world example to illustrate how the abstractions on which statistics is based are translated into practical application..
arXiv:1608.03201; arXiv:1608.03201.- 2016 - 28 p. - Published in : CERN Yellow Report CERN-2015-004, pp.301-328 Preprint: PDF; Published version from CERN: PDF; External link: Fulltext
In : 2013 European School of High-Energy Physics, pp.301-328

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12th NATO Advanced Study Institute on Techniques and Concepts of High-Energy Physics 13 - 24 Jun 2002 - St. Croix, VI, USA / Prosper, Harrison B (ed.); Danilov, Michael V (ed.)
Dordrecht : Kluwer Academic, 2003 - 383 p.
e-proceedings

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Practical Statistics for Particle Physicists / Prosper, Harrison B. (Florida State U., Tallahassee (main))
We introduce a few of the key ideas of statistical analysis using two real-world examples to illustrate how these ideas are used in practice..
arXiv:1504.00945.- 2014-12-10 - 22 p. - Published in : 10.5170/CERN-2014-008.195 Preprint: PDF; Published version from CERN: PDF; External link: Preprint
In : 2012 European School of High-Energy Physics, pp.195-216

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Priors for New Physics / Pierini, Maurizio (CERN) ; Prosper, Harrison B. (Florida State U.) ; Sekmen, Sezen (Florida State U.) ; Spiropulu, Maria (CERN ; Caltech)
The interpretation of data in terms of multi-parameter models of new physics, using the Bayesian approach, requires the construction of multi-parameter priors. [...]
arXiv:1108.0523. - 2011. - 33 p.
Preprint - Full text

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Proceedings of the PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding : CERN, Geneva, Switzerland 17 - 20 Jan 2011 PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding - PHYSTAT2011 17 - 20 Jan 2011 - CERN, Geneva, Switzerland / Prosper, Harrison B (ed.) (Florida State U.); Lyons, Louis (ed.) (Imperial Coll., London ; Oxford U.)
Geneva : CERN, 2011 CERN-2011-006
e-proceedings

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10.

Multivariate Analysis : Past, Present and Future / Prosper, Harrison B
2003.

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See also: similar author names
31	Prosper, H
237	Prosper, H B
19	Prosper, H.
6	Prosper, H.B.
1374	Prosper, Harrison
1374	Prosper, Harrison
5	Prosper, Harrison B.
6	Prosper, Harry

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