Ecological Network Inference From Long-Term Presence-Absence Data

Influence of short term and long-term sickness absence on work ability index

Background: Sickness absence is a major socio-economic problem imposing a huge amount of cost to societies.This issue has been widely concerned over the last few years. Absence from work entails complex conditions and multifactorial etiology. According to previous studies, there are various occupational and personal factors contributing to the incidence of sickness absence. Long-term sickness ...

Improved abundance prediction from presence–absence data

Aim Many ecological surveys record only the presence or absence of species in the cells of a rectangular grid. Ecologists have investigated methods for using these data to predict the total abundance of a species from the number of grid cells in which the species is present. Our aim is to improve such predictions by taking account of the spatial pattern of occupied cells, in addition to the num...

Network Inference from Grouped Data

In medical research, economics, and the social sciences data frequently appear as subsets of a set of objects. Over the past century a number of descriptive statistics have been developed to construct network structure from such data. However, these measures lack a generating mechanism that links the inferred network structure to the observed groups. To address this issue, we propose a modelbas...

Long-Term Ecological Monitoring

Strong, Long-Term Temporal Dynamics of an Ecological Network

Nature is organized into complex, dynamical networks of species and their interactions, which may influence diversity and stability. However, network research is, generally, short-term and depict ecological networks as static structures only, devoid of any dynamics. This hampers our understanding of how nature responds to larger disturbances such as changes in climate. In order to remedy this w...