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The RooStats Project · Around

2010

The RooStats Project

Moneta, Lorenzo, Belasco, Kevin, Cranmer, Kyle et al.

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Understand

RooStats is a project to create advanced statistical tools required for the analysis of LHC data, with emphasis on discoveries, confidence intervals, and combined measurements.

The idea is to provide the major statistical techniques as a set of C++ classes with coherent interfaces, so that can be used on arbitrary model and datasets in a common way.
The classes are built on top of the RooFit package, which provides functionality for easily creating probability models, for analysis combinations and for digital publications of the results.
We will present in detail the design and the implementation of the different statistical methods of RooStats.

Built on

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G. Feldman and R. D. Cousins, Unified approach to the classical statistical analysis of small signals Phys. Rev. D 57, 3873 (1998)
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K. S. Cranmer, Frequentist hypothesis testing with background uncertainty , procedings of PhyStat 2003, SLAC (2003) [physics/0310108]
2003
Earlier work this paper cites.

Similar

M. Pivk and F. R. Le Diberder, Nucl. Inst. Meth.A 555, 356 (2005)
Original
2005
Cited alongside, same era.
F. James, Statistical Methods in Experimental Physics 2 nd Edition , Word Scientific 2006
2006
Cited alongside, same era.
K. S. Cranmer, Statistics for the LHC: Progress, Challenges and Future , proceedings of the PHYSTAT LHC Workshop, CERN 27-29 June 2007, 47
2007
Cited alongside, same era.
F. James, MINUIT Reference Manual , CERN Program Library Writeup D506
Cited in the paper.
A.Caldwell, D. Kollar, K. Kröninger, “BAT - The Bayesian Analysis Toolkit”, arXiv:0808.2552
Original
Cited in the paper.

Then

W. Verkerke, Statistical Software for the LHC , proceedings of the PHYSTAT LHC Workshop, CERN 27-29 June 2007, 169
2007
Later among the works it cites.
I. Antcheva et al, ROOT - A C++ framework for petabyte data storage, statistical analysis and visualization , Comput. Phys. Comm. 180 (2009) 2499
2009
Later among the works it cites.
D. Piparo, G. Schott and G. Quast, RooStatsCms:: a tool for analysis modelling, combination and statistical studies , J. Phys.: Conf. Ser. 219 032034 (2010)
2010
Closest in time.

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