Highlights•A wealth of longitudinal data gives insights into microbial ecosystem dynamics.• Longitudinal analysis can uncover periodicity, irregularities and alternative states.•Intrinsic …
N Habib, Y Li, M Heidenreich, L Swiech… - Science, 2016 - science.org
Single-cell RNA sequencing (RNA-Seq) provides rich information about cell types and states. However, it is difficult to capture rare dynamic processes, such as adult …
Identifying causal networks is important for effective policy and management recommendations on climate, epidemiology, financial regulation, and much else. We …
H Ye, RJ Beamish, SM Glaser… - Proceedings of the …, 2015 - National Acad Sciences
It is well known that current equilibrium-based models fall short as predictive descriptions of natural ecosystems, and particularly of fisheries systems that exhibit nonlinear dynamics. For …
Natural systems are often complex and dynamic (ie nonlinear), making them difficult to understand using linear statistical approaches. Linear approaches are fundamentally based …
It is now clear that fished populations can fluctuate more than unharvested stocks. However, it is not clear why. Here we distinguish among three major competing mechanisms for this …
Takens' theorem (1981) shows how lagged variables of a single time series can be used as proxy variables to reconstruct an attractor for an underlying dynamic process. State space …
Recent developments in complex systems analysis have led to new techniques for detecting causal relationships using relatively short time series, on the order of 30 sequential …
Phenology is the study of recurring biological events and its relationship to climate. Circular statistics is an area of statistics not very much used by ecologists nor by other researchers …