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Analytica Chimica Acta
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October 4, 2011
Review of robust multivariate statistical methods in high dimension
Peter Filzmoser, Valentin Todorov
Analytica Chimica Acta
|
October 12, 2023
Robust statistical methods for high-dimensional data, with applications in tribology
Pia Pfeiffer, Peter Filzmoser
Bioinformatics (Oxford, England)
|
August 6, 2021
Sparse least trimmed squares regression with compositional covariates for high-dimensional data
Gianna Serafina Monti, Peter Filzmoser
IEEE Transactions on Visualization and Computer Graphics
|
October 29, 2011
Brushing dimensions--a dual visual analysis model for high-dimensional data
Cagatay Turkay, Peter Filzmoser, Helwig Hauser
The Science of the Total Environment
|
September 11, 2009
Univariate statistical analysis of environmental (compositional) data: problems and possibilities
Peter Filzmoser, Karel Hron, Clemens Reimann
Analytica Chimica Acta
|
February 16, 2013
Effects of supervised Self Organising Maps parameters on classification performance
Davide Ballabio, Mahdi Vasighi, Peter Filzmoser
Mathematical Geosciences
|
November 1, 2021
Blind Source Separation for Compositional Time Series
Klaus Nordhausen, Gregor Fischer, Peter Filzmoser
Statistical Papers (Berlin, Germany)
|
August 16, 2022
Compositional cubes: a new concept for multi-factorial compositions
Kamila Fačevicová, Peter Filzmoser, Karel Hron
Computational and Structural Biotechnology Journal
|
April 2, 2014
Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS
Kurt Varmuza, Peter Filzmoser, Matthias Dehmer
The Science of the Total Environment
|
June 15, 2010
The bivariate statistical analysis of environmental (compositional) data
Peter Filzmoser, Karel Hron, Clemens Reimann
Page
of 5
Search research articles
Search
Showing results (1-10 of 46) with videos related to
Sort By:
Page
of 5
Analytica Chimica Acta
|
October 4, 2011
Review of robust multivariate statistical methods in high dimension
Peter Filzmoser, Valentin Todorov
Analytica Chimica Acta
|
October 12, 2023
Robust statistical methods for high-dimensional data, with applications in tribology
Pia Pfeiffer, Peter Filzmoser
Bioinformatics (Oxford, England)
|
August 6, 2021
Sparse least trimmed squares regression with compositional covariates for high-dimensional data
Gianna Serafina Monti, Peter Filzmoser
IEEE Transactions on Visualization and Computer Graphics
|
October 29, 2011
Brushing dimensions--a dual visual analysis model for high-dimensional data
Cagatay Turkay, Peter Filzmoser, Helwig Hauser
The Science of the Total Environment
|
September 11, 2009
Univariate statistical analysis of environmental (compositional) data: problems and possibilities
Peter Filzmoser, Karel Hron, Clemens Reimann
Analytica Chimica Acta
|
February 16, 2013
Effects of supervised Self Organising Maps parameters on classification performance
Davide Ballabio, Mahdi Vasighi, Peter Filzmoser
Mathematical Geosciences
|
November 1, 2021
Blind Source Separation for Compositional Time Series
Klaus Nordhausen, Gregor Fischer, Peter Filzmoser
Statistical Papers (Berlin, Germany)
|
August 16, 2022
Compositional cubes: a new concept for multi-factorial compositions
Kamila Fačevicová, Peter Filzmoser, Karel Hron
Computational and Structural Biotechnology Journal
|
April 2, 2014
Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS
Kurt Varmuza, Peter Filzmoser, Matthias Dehmer
The Science of the Total Environment
|
June 15, 2010
The bivariate statistical analysis of environmental (compositional) data
Peter Filzmoser, Karel Hron, Clemens Reimann
Page
of 5