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Found 5 papers, 4 papers with code
GraSPy: Graph Statistics in Python
We introduce GraSPy, a Python library devoted to statistical inference, machine learning, and visualization of random graphs and graph populations.
Sparse Projection Oblique Randomer Forests
Unfortunately, these extensions forfeit one or more of the favorable properties of decision forests based on axis-aligned splits, such as robustness to many noise dimensions, interpretability, or computational efficiency.
Discovery of Multi-Level Network Differences Across Populations of Heterogeneous Connectomes
A connectome is a map of the structural and/or functional connections in the brain.
Independence Testing for Temporal Data
While many non-parametric and universally consistent dependence measures have recently been proposed, directly applying them to temporal data can inflate the p-value and result in invalid test.
Learning sources of variability from high-dimensional observational studies
Causal inference studies whether the presence of a variable influences an observed outcome.
