Signal propagation in complex networks
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
Causal inference for time series
Many research questions in Earth and environmental sciences are inherently causal,
requiring robust analyses to establish whether and how changes in one variable cause …
requiring robust analyses to establish whether and how changes in one variable cause …
Farmland practices are driving bird population decline across Europe
Declines in European bird populations are reported for decades but the direct effect of major
anthropogenic pressures on such declines remains unquantified. Causal relationships …
anthropogenic pressures on such declines remains unquantified. Causal relationships …
D'ya like dags? a survey on structure learning and causal discovery
Causal reasoning is a crucial part of science and human intelligence. In order to discover
causal relationships from data, we need structure discovery methods. We provide a review …
causal relationships from data, we need structure discovery methods. We provide a review …
Big Data in Earth system science and progress towards a digital twin
The concept of a digital twin of Earth envisages the convergence of Big Earth Data with
physics-based models in an interactive computational framework that enables monitoring …
physics-based models in an interactive computational framework that enables monitoring …
Emergent phases of ecological diversity and dynamics mapped in microcosms
From tropical forests to gut microbiomes, ecological communities host notably high numbers
of coexisting species. Beyond high biodiversity, communities exhibit a range of complex …
of coexisting species. Beyond high biodiversity, communities exhibit a range of complex …
[图书][B] Data-driven science and engineering: Machine learning, dynamical systems, and control
SL Brunton, JN Kutz - 2022 - books.google.com
Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
Discovering causal relations and equations from data
Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …
questions about why natural phenomena occur and to make testable models that explain the …
Current understanding of the human microbiome
Our understanding of the link between the human microbiome and disease, including
obesity, inflammatory bowel disease, arthritis and autism, is rapidly expanding …
obesity, inflammatory bowel disease, arthritis and autism, is rapidly expanding …
Automated discovery of fundamental variables hidden in experimental data
All physical laws are described as mathematical relationships between state variables.
These variables give a complete and non-redundant description of the relevant system …
These variables give a complete and non-redundant description of the relevant system …