asymppdc/asympPDC

The asympPDC Package is a MATLAB and Octave package for Partial Directed Coherence (PDC) and Directed Transfer Function (DTF) estimation with asymptotic statistics, allied functions and routines for Granger Causality Test and results pretty plotting.

⭐ 23 | 🍴 6

koisa/asympPDC

Matlab/octave code for all three forms of partial directed coherence (PDC) and directed transfer function (DTF)with asymptotic statistics for null hypothesis testing for multivariate single-segment analysis of connectivity..

⭐ 7 | 🍴 3

anishacharya/BGMD-AISTATS-2022

Geometric median (GM) is a classical method in statistics for achieving a robust estimation of the uncorrupted data; under gross corruption, it achieves the optimal breakdown point of 0.5. However, its computational complexity makes it infeasible for robustifying stochastic gradient descent (SGD) for high-dimensional optimization problems. In this paper, we show that by applying Gm to only a judiciously chosen block of coordinates at a time and using a memory mechanism, one can retain the breakdown point of 0.5 for smooth non-convex problems, with non-asymptotic convergence rates comparable to the SGD with GM.

⭐ 4 | 🍴 0

robustrobotics/nonasymptotic-mp

An exploration on what non-asymptotic statistics + learning theory can say about motion planning.

⭐ 3 | 🍴 0