Robust Rényi decomposable minimum distance estimators used in decision tree based single top quark signal separation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00210457" target="_blank" >RIV/68407700:21340/13:00210457 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Robust Rényi decomposable minimum distance estimators used in decision tree based single top quark signal separation
Original language description
Rényi decomposable information divergences are the very new and promising concept used in statistical inference. They bring high robustness properties and relative practical feasibility. M-C simulation results for the Minimum Rényi Distance (MReD) estimates in the case of very sparse and scattered data (data with high variance) or small sample data sets are presented and the effect of input parameter alpha to the robustness is shown. Heuristic approach is proposed for such MReD estimates when the strictminimization leads to delta functions. Subsequent Rényi Divergence based Decision Tree signal separations are going to be carried out for the Single Top Quark decay channel, i.e. the data samples coming from high energy particle accelerator Tevatron inFermilab obtained at the energy level 1.96TeV and the beam luminosity 9.5fb-1.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BF - Elementary particle theory and high energy physics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SPMS 2013 Stochastic and Physical Monitoring Systems Proceedings
ISBN
978-80-01-05383-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
89-94
Publisher name
ČVUT
Place of publication
Praha
Event location
Nebřich
Event date
Jun 24, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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