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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
On asymptotic sufficiency and optimality of quantizations.
Typ:
Jornal article
Authors:
Name of journal:
Journal of Statistical Planning and Inference
Volume:
136
Year:
2006
Number:
12
Pages:
4217-4238
ISSN:
0378-3758
Keywords:
quantization of observations, asymptotic sufficiency
attachment1:
quantizationsjspi.pdf [file]
Anotation:
Loss of statistical information is studied due to quantizations of id. observations. If this loss is asymptotically zero then the quantizations are asymptotically sufficient (AS). Necessary and sufficient conditions for AS are given. Applications to concrete situations are demonstrated.