Blended -divergences with examples
Kybernetika (2003)
- Volume: 39, Issue: 1, page [43]-54
- ISSN: 0023-5954
Access Full Article
topAbstract
topHow to cite
topKůs, Václav. "Blended $\phi $-divergences with examples." Kybernetika 39.1 (2003): [43]-54. <http://eudml.org/doc/33621>.
@article{Kůs2003,
abstract = {Several new examples of divergences emerged in the recent literature called blended divergences. Mostly these examples are constructed by the modification or parametrization of the old well-known phi-divergences. Newly introduced parameter is often called blending parameter. In this paper we present compact theory of blended divergences which provides us with a generally applicable method for finding new classes of divergences containing any two divergences $D_0$ and $D_1$ given in advance. Several examples of blends of well-known divergences are given.},
author = {Kůs, Václav},
journal = {Kybernetika},
keywords = {divergences of probability distributions; blended divergences; statistical applications; divergences of probability distributions; statistical applications},
language = {eng},
number = {1},
pages = {[43]-54},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Blended $\phi $-divergences with examples},
url = {http://eudml.org/doc/33621},
volume = {39},
year = {2003},
}
TY - JOUR
AU - Kůs, Václav
TI - Blended $\phi $-divergences with examples
JO - Kybernetika
PY - 2003
PB - Institute of Information Theory and Automation AS CR
VL - 39
IS - 1
SP - [43]
EP - 54
AB - Several new examples of divergences emerged in the recent literature called blended divergences. Mostly these examples are constructed by the modification or parametrization of the old well-known phi-divergences. Newly introduced parameter is often called blending parameter. In this paper we present compact theory of blended divergences which provides us with a generally applicable method for finding new classes of divergences containing any two divergences $D_0$ and $D_1$ given in advance. Several examples of blends of well-known divergences are given.
LA - eng
KW - divergences of probability distributions; blended divergences; statistical applications; divergences of probability distributions; statistical applications
UR - http://eudml.org/doc/33621
ER -
References
top- Cressie N., Read T. R. C., Multinomial goodness-of-fit tests, J. Roy. Statist. Soc. Ser. A 46 (1984), 440–464 (1984) Zbl0571.62017MR0790631
- Kafka P., Österreicher F., Vincze I., On powers of -divergences defining a distance, Studia Sci. Math. Hungar. 26 (1991), 415–422 (1991) MR1197090
- Kůs V., Divergences and Generalized Score Functions in Statistical Inference, Ph.D. Thesis, Czech Technical University, Prague 1998
- Cam L. Le, Asymptotic Methods in Statistical Decision Theory, Springer, New York 1986 Zbl0605.62002MR0856411
- Lindsay B. G., 10.1214/aos/1176325512, The case for minimum Hellinger distance and other methods. Ann. Statist. 22 (1994), 1081–1114 (1994) Zbl0807.62030MR1292557DOI10.1214/aos/1176325512
- Menéndez M., Morales D., Pardo, L., Vajda I., 10.1080/03610929808832117, Comm. Statist. A – Theory Methods 27 (1998), 609–633 (1998) Zbl1126.62300MR1619038DOI10.1080/03610929808832117
- Österreicher. F., On a class of perimeter-type distances of probability distributions, Kybernetika 32 (1996), 389–393 (1996) Zbl0897.60015MR1420130
- Park, Ch., Basu A., Basu S., 10.1080/03610919508813265, Comm. Statist. B – Simulation Comput. 24 (1995), 653–673 (1995) Zbl0850.62243DOI10.1080/03610919508813265
- Read R. C., Cressie N. A. C., Goodness-of-fit Statistics for Discrete Multivariate Data, Springer, Berlin 1988 Zbl0663.62065MR0955054
- Vajda I., Theory of Statistical Inference and Information, Kluwer, Boston 1989 Zbl0711.62002
- Vajda I., Information–Theoretic Methods in Statistics, Research Report No. 1834, ÚTIA, Academy of Sciences of the Czech Republic, Prague 1995
Citations in EuDML Documents
top- Václav Kůs, Domingo Morales, Igor Vajda, Extensions of the parametric families of divergences used in statistical inference
- Václav Kůs, Domingo Morales, Jitka Hrabáková, Iva Frýdlová, Existence, Consistency and computer simulation for selected variants of minimum distance estimators
- Jukka Corander, Ulpu Remes, Timo Koski, On the Jensen-Shannon divergence and the variation distance for categorical probability distributions
NotesEmbed ?
topTo embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.