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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F02%3A16020069%21RIV%2F2003%2FGA0%2FA16003%2FN
rdf:type
n12:Vysledek skos:Concept
dcterms:description
A general version of the maximum pseudolikelihood estimate of parameters within the class of Gauss-Markov random fields is stated in a rigorous way. Its asymptotic properties, namely the consistency, the asymptotic normality, and the relative asymptotic efficiency are studied.Explicit formulas for the asymptotic covariance matrix are given, and a decrease of efficiency is proved. A numerical example is added to show that the efficiency can be improved by enlarging the range of the conditional distribution. A general version of the maximum pseudolikelihood estimate of parameters within the class of Gauss-Markov random fields is stated in a rigorous way. Its asymptotic properties, namely the consistency, the asymptotic normality, and the relative asymptotic efficiency are studied.Explicit formulas for the asymptotic covariance matrix are given, and a decrease of efficiency is proved. A numerical example is added to show that the efficiency can be improved by enlarging the range of the conditional distribution.
dcterms:title
Relative asymptotic efficiency of the maximum pseudolikelihood estimate for Gauss-Markov random fields. Relative asymptotic efficiency of the maximum pseudolikelihood estimate for Gauss-Markov random fields.
skos:prefLabel
Relative asymptotic efficiency of the maximum pseudolikelihood estimate for Gauss-Markov random fields. Relative asymptotic efficiency of the maximum pseudolikelihood estimate for Gauss-Markov random fields.
skos:notation
RIV/67985556:_____/02:16020069!RIV/2003/GA0/A16003/N
n3:strany
179;197
n3:aktivita
n14:P n14:Z
n3:aktivity
P(GA102/99/1137), P(GA201/99/0269), Z(AV0Z1075907)
n3:cisloPeriodika
2
n3:dodaniDat
n4:2003
n3:domaciTvurceVysledku
n5:7649932 n5:1864386
n3:druhVysledku
n15:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
662024
n3:idVysledku
RIV/67985556:_____/02:16020069
n3:jazykVysledku
n13:eng
n3:klicovaSlova
spectral density; Gauss-Markov random fields; maximum pseudolikelihood estimate
n3:klicoveSlovo
n10:spectral%20density n10:maximum%20pseudolikelihood%20estimate n10:Gauss-Markov%20random%20fields
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[BED3484A68CC]
n3:nazevZdroje
Statistical Inference for Stochastic Processes
n3:obor
n9:BB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:projekt
n7:GA201%2F99%2F0269 n7:GA102%2F99%2F1137
n3:rokUplatneniVysledku
n4:2002
n3:svazekPeriodika
5
n3:tvurceVysledku
Boček, Pavel Janžura, Martin
n3:zamer
n17:AV0Z1075907
s:issn
1387-0874
s:numberOfPages
19