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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 01941nam a2200289 4500 | |
| 001 | oai:DiVA.org:liu-13105 | |
| 003 | SwePub | |
| 008 | 080331s2007 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131052 URI |
| 040 | a (SwePub)liu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a vet2 swepub-contenttype |
| 072 | 7 | a ovr2 swepub-publicationtype |
| 100 | 1 | a Ekdahl, Magnusu Linköpings universitet,Matematisk statistik,Tekniska högskolan4 aut0 (Swepub:liu)magek54 |
| 245 | 1 0 | a Concentrated or non-concentrated discrete distributions are almost independent |
| 264 | 1 | c 2007 |
| 338 | a print2 rdacarrier | |
| 520 | a The task of approximating a simultaneous distribution with a product of distributions in a single variable is important in the theory and applications of classification and learning, probabilistic reasoning, and random algmithms. The evaluation of the goodness of this approximation by statistical independence amounts to bounding uniformly upwards the difference between a joint distribution and the product of the distributions (marginals). In this paper we develop a bound that uses information about the most probable state to find a sharp estimate, which is often as sharp as possible. We also examine the extreme cases of concentration and non-conccntmtion, respectively, of the approximated distribution. | |
| 650 | 7 | a NATURVETENSKAPx Matematik0 (SwePub)1012 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Mathematics0 (SwePub)1012 hsv//eng |
| 653 | a MATHEMATICS | |
| 653 | a MATEMATIK | |
| 700 | 1 | a Koski, Timou Linköpings universitet,Matematisk statistik,Tekniska högskolan4 aut0 (Swepub:liu)timko98 |
| 700 | 1 | a Ohlson, Martinu Linköpings universitet,Matematisk statistik,Tekniska högskolan4 aut0 (Swepub:liu)maroh70 |
| 710 | 2 | a Linköpings universitetb Matematisk statistik4 org |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-13105 |
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