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199 015 (0,255s)

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Boundary Effects in Multivariate Data

The paper deals with the nature of multivariate data space. We show that for a uniform distribution of points in an n-dimensional Euclidean space the distribution of the distance of the i-th nearest neighbor to the...

BA - Obecná matematika

  • 2005
  • Jx
Result

Dimensionality Reduction and Classification using the Distribution Mapping Exponent

Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distribution-mapping exponent. The method forclassification of multi...

BA - Obecná matematika

  • 2004
  • D
Result

Classification of Multivariate data Using Distribution Mapping Exponent.

We introduce distribution-mapping exponent that is something like effective dimensionality of multidimensional space. The method for classification of multivariate data is based on local estimate of distribution ma...

BA - Obecná matematika

  • 2003
  • D
Result

Distribution Mapping Exponent for Multivariate Data Classification

Distribution-mapping exponent (DME) that is something like effective dimensionality of multidimensional space is introduced. The method for classification of multivariate data is based on local estimate of distribution<...

BA - Obecná matematika

  • 2004
  • D
Result

R package for estimation of uni- and multivariate distributions using normal mixtures, with possibility of having interval-censored data

The present paper introduces R package mixAK which is designed to estimate uni- and multivariate density. At the same time, the data are allowed to be censored. The estimation proceeds using the MCMC method and the normal mixture mo...

BB - Aplikovaná statistika, operační výzkum

  • 2009
  • D
Result

Testing exchangeability of multivariate distributions

exchangeability, i.e. bivariate symmetry for bivariate distributions, the literature is void of tests whether a multivariate distribution with more than two dimensions of multivariate distributions are pr...

Statistics and probability

  • 2023
  • Jimp
  • Link
Result

Local Estimate of Distribution Mapping Exponent for Classification of Multivariate Data

The method proposed is based on notion of distribution mapping exponent and its local estimate q for each point. It is shown that the sum of reciprocals of q-th power of distances can be used as the probability density estimate. The classifi...

BA - Obecná matematika

  • 2004
  • D
Result

Common Multivariate Estimators of Location and Scatter Capture the Symmetry of the Underlying Distribution

of the multivariate data. For this task, we propose to perform permutation tests exploitingThe article discusses how various multivariate location and scatter estimators capture the symmetry of the underlying distribut...

Statistics and probability

  • 2021
  • Jimp
  • Link
Result

Common Multivariate Estimators of Location and Scatter Capture the Symmetry of the Underlying Distribution

of the multivariate data. For this task, we propose to perform permutation tests exploitingThe article discusses how various multivariate location and scatter estimators capture the symmetry of the underlying distribut...

Statistics and probability

  • 2021
  • Jimp
  • Link
Result

Boundary Phenomenon in Multivariate Data

In this paper we show some strange features of multidimensional data and their influence on classification. We introduce the probability distribution mapping function, and the distribution density mapping function which map...

BA - Obecná matematika

  • 2004
  • D
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