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Statements

Subject Item
n2:RIV%2F68407700%3A21340%2F13%3A00210457%21RIV14-MSM-21340___
rdf:type
n15:Vysledek skos:Concept
dcterms: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 strict minimization 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 in Fermilab obtained at the energy level 1.96TeV and the beam luminosity 9.5fb-1. 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 strict minimization 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 in Fermilab obtained at the energy level 1.96TeV and the beam luminosity 9.5fb-1.
dcterms:title
Robust Rényi decomposable minimum distance estimators used in decision tree based single top quark signal separation Robust Rényi decomposable minimum distance estimators used in decision tree based single top quark signal separation
skos:prefLabel
Robust Rényi decomposable minimum distance estimators used in decision tree based single top quark signal separation Robust Rényi decomposable minimum distance estimators used in decision tree based single top quark signal separation
skos:notation
RIV/68407700:21340/13:00210457!RIV14-MSM-21340___
n15:predkladatel
n19:orjk%3A21340
n3:aktivita
n21:P n21:Z
n3:aktivity
P(LG12020), Z(MSM6840770039)
n3:dodaniDat
n4:2014
n3:domaciTvurceVysledku
n8:6760821 n8:1204963
n3:druhVysledku
n14:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n23:predkladatel
n3:idSjednocenehoVysledku
103172
n3:idVysledku
RIV/68407700:21340/13:00210457
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Minimum distance estimators; robustness; phi-divergences; decision trees
n3:klicoveSlovo
n5:phi-divergences n5:Minimum%20distance%20estimators n5:decision%20trees n5:robustness
n3:kontrolniKodProRIV
[211E6A5D685B]
n3:mistoKonaniAkce
Nebřich
n3:mistoVydani
Praha
n3:nazevZdroje
SPMS 2013 Stochastic and Physical Monitoring Systems Proceedings
n3:obor
n17:BF
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n18:LG12020
n3:rokUplatneniVysledku
n4:2013
n3:tvurceVysledku
Kůs, Václav Kučera, Jan
n3:typAkce
n9:EUR
n3:zahajeniAkce
2013-06-24+02:00
n3:zamer
n12:MSM6840770039
s:numberOfPages
6
n7:hasPublisher
České vysoké učení technické v Praze
n13:isbn
978-80-01-05383-6
n20:organizacniJednotka
21340