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Compositional data, bayesian inference and the modeling process
(CIMNE, 2011)
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Statistical modeling in practice encompasses both the exploratory process,
which is an inductive scientific approach and the confirmatory modeling process,
which uses the deductive scientific approach. This paper will ...
Ordinary cokriging of additive log-ratios for estimating grades in iron ore deposits
(CIMNE, 2011)
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Risk assessment and economic evaluation of mining projects are mainly affected by the determination of
grades and tonnages. In the case of iron ore, multiple variables must be determined for ore characterization
which ...
The compositional meaning of a detection limit
(CIMNE, 2011)
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In compositional data analysis a value below detection limit (BDL) is typically modeled as the definitive
information that the actual value is below some fixed value - the detection limit (see e.g. Palarea-
Albaladejo ...
Orthogonal regression for three-part compositional data via linear model with type-II constraints
(CIMNE, 2011)
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Orthogonal regression is a proper tool for fitting two-dimensional data points when errors occur
in both the variables. This type of modelling technique is also called the total least squares (TLS)
in the statistical ...
Tests for identifying the unchanging reference component of compositional data using the properties of the coefficient of variation
(CIMNE, 2011)
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In analyses of compositional data, it is important to select a suitable unchanging component as a reference to
detect the behavior of a single variable in isolation. This paper introduces two tests for detecting the
unchanging ...
Unmixing compositional data with Bayesian techniques
(CIMNE, 2011)
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A general problem in compositional data analysis is the unmixing of a composition into a
series of pure endmembers. In its most complex version, one does neither know the composition
of these endmembers, nor their relative ...
Application of compositional models for glycan HILIC data
(CIMNE, 2011)
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Glycoconjugates constitute a major class of biomolecules which include glycoproteins, glycosphingolipids
and proteoglycans. The enzymatic process in which glycans (sugar chains) are linked to
proteins or lipids is called ...
An EM-algorithm based method to deal with rounded zeros in compositional data under Dirichlet models
(CIMNE, 2011)
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Zeros in compositional data are classified into “rounded” zeros and “essential” zeros. The
rounded zero corresponds to a small proportion or below detection limit value while the essential
zero is an indication of the ...
Evidence information in Bayesian updating
(CIMNE, 2011-06)
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Bayes theorem (discrete case) is taken as a paradigm of information acquisition. As men-tioned by Aitchison, Bayes formula can be identified with perturbation of a prior probability vector and a discrete likelihood function, ...
Two more things about compositional biplots: quality of projection and inclusion of supplementary elements
(CIMNE, 2011)
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The biplot is a widely and powerful methodology used with multidimensional data sets to
describe and display the relationships between observations and variables in an easy way.
Compositional data consist of positive ...