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A robust PARAFAC model for compositional data

Compositional data are characterized by values containing relative information to specific features of compositional data, standard statistical methods should be applied. It is discussed how three-way compositi...

Statistics and probability

  • 2018
  • Jimp
  • Link
Result

Compositions: Functions to deal with compositional data. : computer software [online]

A library of functions to treat the compositional (closed) data, like proportions, percentages, chemical analyses. Documentation is here: http://godoc.org/code.google.com/p/compositions......

JC - Počítačový hardware a software

  • 2013
  • R
  • Link
Result

Exploratory data analysis for interval compositional data

Compositional data are considered as data where relative contributions of parts., when the interval data are obtained by the aggregation of compositions. In the framework of the log-ratio approach from

Statistics and probability

  • 2017
  • Jimp
  • Link
Result

Composition of the dictionary and meaning of its data

Description of compilation and composition of the dictionary, explanation of symbols.

AI - Jazykověda

  • 2004
  • C
Result

Compositional cubes: a new concept for multi-factorial compositions

Compositional data are commonly known as multivariate observations carrying compositional data (compositional tables) is already well described in the literature about compositional data ...

Statistics and probability

  • 2023
  • Jimp
  • Link
Result

Applied compositional data analysis

This book presents the statistical analysis of compositional data using the log adapted for compositional data analysis, such as supervised and unsupervised methods, it considers special data structures li...

Statistics and probability

  • 2018
  • B
Result

Towards Learning Hierarchical Compositional Models in the Presence of Clutter

of individual data to compositional model and background clutter. It uses these assignments to effectively focus on the data coming from the compositional model and iteratively estimateOur goal is to identify hier...

JD - Využití počítačů, robotika a její aplikace

  • 2013
  • D
  • Link
Result

Modeling compositional time series with vector autoregressive models

proportional data) are called compositional time series. They need to be transformed first to the Aitchison geometry of compositional data. Using vector autoregressive models, the standard approach based on raw

BA - Obecná matematika

  • 2015
  • Jx
  • Link
Result

Compositional biplots including external non-compositional variables

loadings and scores of a dimension reduction technique applied to multivariate data. If the underlying data carry only relative information (i.e. compositional data expressed to the compositional variable...

BB - Aplikovaná statistika, operační výzkum

  • 2016
  • Jx
  • Link
Result

Robust statistical analysis of compositional data

, their development for compositional data is still at the beginning. One of the reasons of compositions, to the Euclidean real space. The main task of this contribution is to provide a comprehensive view of robustness for ...

BB - Aplikovaná statistika, operační výzkum

  • 2011
  • C
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