Pynkowski is a Python package to compute Minkowski Functionals, as well as their expected values for different fields.
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Updated
Jun 24, 2024 - Python
Pynkowski is a Python package to compute Minkowski Functionals, as well as their expected values for different fields.
An R package for the stochastic simulation of processes with any marginal distribution and correlation structure
COVMOS is an open-source Python library designed for rapidly simulating catalogues of cosmic objects in both real and redshift space.
Tools for analyzing and generating non-Gaussian, non-stationary signals in engineering applications.
[IEEE ICASSP 2023] "Robust Subspace Tracking with Contamination Mitigation via Alpha-Divergence". In 48th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2023.
SchroSIM is an open-source continuous-variable photonic quantum simulation stack in Swift, Rust, and Python for designing, compiling, and simulating Gaussian and selected non-Gaussian circuits, with CPU/Metal backend options for research, validation, and education.
GSAMU: Sensitivity analysis for effects of multiple exposures in the presence of unmeasured confounding: non-Gaussian and time-to-event outcomes
Approximate inference of latent non-Gaussian models
A non-Gaussian distribution is generated from a Gaussian-distributed white noise
Repository for Sanchez-Romero, R., Ramsey, J. D., Zhang, K., Glymour, M. R., Huang, B., & Glymour, C. (2019). Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods. Network Neuroscience, https://doi.org/10.1162/netn_a_00061
The work is titled: "Does Engagement at Work Prevent Burnout?" and it was made as a part of dissertation project in Psychology Department.
Non-Gaussian Langevin dynamics, fluctuation theorem for a generalized entropy production and steady state calculation.
qNoise: A generator of non-Gaussian colored noise. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000346
Tools for non-Gaussian statistics
a model averaging procedure for heterogeneous gaussian copula graphical models
The causal discovery toolkit, related algorithms are derived from the matlab version, for ease of use, converted to the python version, so that non-professionals can also use it.
This repository is out of date. See instead: https://github.com/paigejo/ELK
Option pricing with non-normal price or log price distributions
Investigation of the non-Gaussianity in the simulated CMB using convolutional neural networks
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