bibtype |
J -
Journal Article
|
ARLID |
0410855 |
utime |
20240903203903.5 |
mtime |
20060210235959.9 |
title
(primary) (eng) |
Relative asymptotic efficiency of the maximum pseudolikelihood estimate for Gauss-Markov random fields |
specification |
|
serial |
ARLID |
cav_un_epca*0297195 |
ISSN |
1387-0874 |
title
|
Statistical Inference for Stochastic Processes |
volume_id |
5 |
volume |
2 (2002) |
page_num |
179-197 |
|
keyword |
spectral density |
keyword |
Gauss-Markov random fields |
keyword |
maximum pseudolikelihood estimate |
author
(primary) |
ARLID |
cav_un_auth*0101114 |
name1 |
Janžura |
name2 |
Martin |
institution |
UTIA-B |
full_dept |
Department of Stochastic Informatics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101069 |
name1 |
Boček |
name2 |
Pavel |
institution |
UTIA-B |
full_dept |
Department of Stochastic Informatics |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
COSATI |
12B |
cas_special |
project |
project_id |
GA201/99/0269 |
agency |
GA ČR |
ARLID |
cav_un_auth*0005940 |
|
project |
project_id |
GA102/99/1137 |
agency |
GA ČR |
ARLID |
cav_un_auth*0004432 |
|
research |
CEZ:AV0Z1075907 |
abstract
(eng) |
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. |
RIV |
BB |
department |
SI |
permalink |
http://hdl.handle.net/11104/0130942 |
ID_orig |
UTIA-B 20020069 |
arlyear |
2002 |
mrcbU63 |
cav_un_epca*0297195 Statistical Inference for Stochastic Processes 1387-0874 1572-9311 Roč. 5 č. 2 2002 179 197 |
|