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Ensemble Copula Coupling as a Multivariate Discrete Copula Approach [PDF]

, 2013
In probability and statistics, copulas play important roles theoretically as well as to address a wide range of problems in various application areas. In this paper, we introduce the concept of multivariate discrete copulas, discuss their equivalence to ...
Schefzik, Roman
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Teaching Stats for Data Science [PDF]

, 2017
“Data science” is a useful catchword for methods and concepts original to the field of statistics, but typically being applied to large, multivariate, observational records.
Kaplan, Daniel
core   +2 more sources

Bayesian Multivariate Spatial Models for Lattice Data with INLA

Journal of Statistical Software, 2021
The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with the INLA package for Bayesian inference.
Francisco Palmí-Perales, Virgilio Gómez-Rubio, Miguel A. Martinez-Beneito   +2 more
doaj   +1 more source

On photon statistics parametrized by a non-central Wishart random matrix

, 2015
In order to tackle parameter estimation of photocounting distributions, polykays of acting intensities are proposed as a new tool for computing photon statistics.
Di Nardo, Elvira
core   +1 more source

Application of Random Matrix Theory to Multivariate Statistics

, 2006
This is an expository account of the edge eigenvalue distributions in random matrix theory and their application in multivariate statistics.
Dieng, Momar, Tracy, Craig A.
core   +1 more source

The community ecology perspective of omics data

Microbiome, 2022
The measurement of uncharacterized pools of biological molecules through techniques such as metabarcoding, metagenomics, metatranscriptomics, metabolomics, and metaproteomics produces large, multivariate datasets.
Stephanie D. Jurburg, François Buscot, Antonis Chatzinotas, Narendrakumar M. Chaudhari, Adam T. Clark, Magda Garbowski, Matthias Grenié, Erik F. Y. Hom, Canan Karakoç, Susanne Marr, Steffen Neumann, Mika Tarkka, Nicole M. van Dam, Alexander Weinhold, Anna Heintz-Buschart   +14 more
doaj   +1 more source

An Integrated Approach to Determining the Risk of Overexploitation for Data-Poor Pelagic Atlantic Sharks [PDF]

, 2008
Assesses the risk of over-exploitation of sharks in Atlantic longline fisheries using three metrics based on multivariate statistics as a way to make management recommendations for species with limited data.

core  

Break detection in the covariance structure of multivariate time series models

, 2008
In this paper, we introduce an asymptotic test procedure to assess the stability of volatilities and cross-volatilites of linear and nonlinear multivariate time series models.
Aue, Alexander, Horváth, Lajos, Hörmann, Siegfried, Reimherr, Matthew   +3 more
core   +1 more source

A Comparing Robust Wilks’ statistics in Multivariate Multiple Linear Regression

Journal of Kufa for Mathematics and Computer
In multivariate linear regression, the classical Wilks’ statistic is the most used method to test hypotheses, which is extremely responsive to the effect of outliers.
Thamer, Abdullah A. Ameen
doaj   +1 more source

Multivariate Screening of the Weather Effect on Timber Bridge Movements

BioResources, 2016
Monitoring displacements and weather impact of complex structures, such as a large cable-stayed footbridge, generates a large amount of data. To extract, visualize, and classify health-monitoring data for better comprehension, multivariate statistical ...
Niclas Björngrim, Olle Hagman, Xiaodong Wang   +2 more
doaj   +1 more source