Statistical modelling for falls count data

Statistical Analysis of Spatial Count Data

Concept Description Language for Statistical Data Modelling

In this paper we describe a new language for statistical data modelling, which offers a general framework for the representation of elementary and summary data. Three are the main characteristics of the language: 1) the types of modeling primitives of the language are particularly suited for representing objects from a statistical point of view; 2) the language includes a rich set of structurin...

Statistical Analysis Methods for the fMRI Data

Functional magnetic resonance imaging (fMRI) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. The technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. This method can measure little metabolism changes that occur in active part of the brain. We process the fMRI data to be able to find the parts of br...

Cool Fusion Statistical Modelling for Data Fusion

ABSTRACT The consequences of the use of probability in modelling under uncertainty are explored, and it is shown how data and parameter independence and likelihood modularity emerge as desirable properties for statistical models. They lead directly to multi-object models which themselves create the association problem. The expectation-maximisation (EM) technique is introduced and then applied t...

Statistical Methods for Overdispersion in mRNA-Seq Count Data

Recent developments in Next-Generation Sequencing (NGS) technologies have opened doors for ultra high throughput sequencing mRNA (mRNA-seq) of the whole transcriptome. mRNA-seq has enabled researchers to comprehensively search for underlying biological determinants of diseases and ultimately discover novel preventive and therapeutic solutions. Unfortunately, given the complexity of mRNA-seq dat...