laurasparacino Goto Github PK
Name: Laura Sparacino
Type: User
Company: Università degli Studi di Palermo
Bio: I am a PhD student at University of Palermo, specialized in physiological time series analysis.
Location: Palermo, Italy
Laura Sparacino's Projects
assessing-linear-dependence
A package to compute and test the significance of linear dependence between multiple autocorrelated time series.
big-data
Repository of the UNIPA Big Data class 2020-2021
gc_ss_pnas
reproduction of the simulations of a critical paper, with the State Space formulation of Granger Causality
gcmi
Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
gica_toolbox
Granger Causality (GC), Granger Isolation (GI) and Granger Autonomy (GA) for the assessment of bivariate causal and non-causal interactions in linear autoregressive processes.
hoi
Retrieving high-order information multiplets from data using the O-information
lsp_toolbox
A novel spectral measure to characterize the linear self-predictability (LSP) of Gaussian processes in the frequency domain is proposed in the LSP toolbox, with examples showing its behaviour in theoretical simulations and physiological applications.
mvgc1
The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.
sir_toolbox
The SIR Matlab Toolbox performs computation of time and frequency domain information measures of entropy rate (ER), mutual information rate (MIR) and O-Information rate (OIR), exploiting both parametric and non-parametric estimation of the power spectral density of (blocks of) interacting stochastic processes.
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