Technological advances have enabled a new class of multivariate models for ecology, with
the potential now to specify a statistical model for abundances jointly across many taxa, to …

Background Moderate correlation exists between the imaging quantification of brain white
matter lesions and cognitive performance in people with multiple sclerosis (MS). This may …

This is a book about statistical distributions, their properties, and their application to
modelling the dependence of the location, scale, and shape of the distribution of a response …

Using a conceptual, non-mathematical approach, the updated Third Edition provides full
coverage of the wide range of multivariate topics that graduate students across the social …

Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from drop** …

Over the last years, utilizing deep learning for the analysis of survival data has become
attractive to many researchers. This has led to the advent of numerous network architectures …

Toxic chemical pollutants such as heavy metals (HMs) are commonly present in urban
stormwater. These pollutants can pose a significant risk to human health and hence a …

Statistical inference is the science of analysing and interpreting data. It provides essential
tools for processing information, summarizing the amount of knowledge gained and …

This paper presents a multimodal image fusion method using a novel decomposition model
based on coupled dictionary learning. The proposed method is general and can be used for …

The application and interpretation of statistics are central to ecological study and practice.
Ecologists are now asking more sophisticated questions than in the past. These new …