The closed nature of geochemical data has been proven in many studies. Compositional data have special properties that mean that standard statistical methods cannot be used to analyse them. These data imply a particular geometry called Aitchison geometry in the simplex space. For analysis, the dataset must first be opened by the various transformations provided. One of the most popular of the a...

by Karel Hron23, Peter Filzmoser4, Sandra Donevska23 and Eva Fǐserová23 1 Received ....................; accepted .......................... 2 Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacký University, 17. listopadu 12, 771 46 Olomouc, Czech Republic; e-mail: [email protected], [email protected], [email protected] 3 Department of Geoinformati...

This paper describes a software system using bioinformatic data recorded from a performer in real-time as a probabilistic driver for the composition and subsequent real-time generation of traditionally notated musical scores. To facilitate the generation and presentation of musical scores to a performer, the system makes use of a custom LilyPond output parser, a set of Java classes running with...

Data-centric business applications comprise an important class of distributed systems that includes on-line stores, document management systems, and patient portals. However, their complexity makes it difficult to design and implement them. We address these issues from a model-driven perspective by developing a formal, compositional, and domain-specific set of abstractions for the specification...

The specification language CSP-CASL allows the modelling of processes and data within a single framework. CSPCASL allows one to use the specification structuring operators, such as parametrization and union, to create structured specifications. Here we outline proof calculi that exploit specification structure, allowing for refinement and deadlock analysis.

We develop a spatial model for compositional data based on Aitchison s model of multiplicative error structure for proportions An unobservable state proportion vec tor composition is assumed to exist for each sampled location The state compositions may be related through time or space and may also depend on covariates Discrete ob servations are accommodated by a conditional multinomial observat...

Preface These notes have been prepared as support to a short course on compositional data analysis. Their aim is to transmit the basic concepts and skills for simple applications, thus setting the premises for more advanced projects. One should be aware that frequent updates will be required in the near future, as the theory presented here is a field of active research. The notes are based both...

One of the tantalising remaining problems in compositional data analysis lies in how to deal with data sets in which there are components which are essential zeros. By an essential zero we mean a component which is truly zero, not something recorded as zero simply because the experimental design or the measuring instrument has not been sufficiently sensitive to detect a trace of the part. Such ...