Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
An Improved Pooled Logistic Regression Implementation. [PDF]
Zivich PN +5 more
europepmc +1 more source
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez +3 more
wiley +1 more source
Inference on function-valued parameters using a restricted score test. [PDF]
Hudson A, Carone M, Shojaie A.
europepmc +1 more source
A rank-based robust change-point regression approach in human intervention studies of functional foods. [PDF]
Hayamizu K.
europepmc +1 more source
Diagnostic accuracy of the Voluntary Breath-Hold Test to discriminate normal vs. abnormal spirometry: a two-gate study. [PDF]
Veras GPM +5 more
europepmc +1 more source
Improving Population Pharmacokinetic Modelling with Artificial Patients using Generative Artificial Intelligence. [PDF]
Schöning V, Hammann F.
europepmc +1 more source
Design of PMMA-Cotton Composite Textile with Tunable Properties via a Physics-Aware Bidirectional Neural Network Framework. [PDF]
Krishnamurthy RJ, Szypula MM, Milani AS.
europepmc +1 more source
Metabolic Saliency as KL-Divergence Estimator: Information-Geometric Attribution of Systemic Stress in JSE Equity Network. [PDF]
Moroke ND.
europepmc +1 more source

