6 citations · 11 across the 7 of their papers we have counts for
5 papers · 1 filter
Multifractal nonlinearity as a robust estimator of multiplicative cascade dynamics
Madhur Mangalam, Aaron D Likens, Damian G Kelty-Stephen
Multifractal formalisms provide an apt framework to study random cascades in which multifractal spectrum width fluctuates depending on the number of estimable power-law relati…
ARWalker: A Virtual Walking Companion Application
Pubudu Wijesooriya, Aaron Likens, Nick Stergiou +1
Extended Reality (XR) technologies, including Augmented Reality (AR), have attracted significant attention over the past few years and have been utilized in several fields, includi…
A Nonlinear Analysis Software Toolkit for Biomechanical Data
Shifat Sarwar, Aaron Likens, Nick Stergiou +1
In this paper, we present a nonlinear analysis software toolkit, which can help in biomechanical gait data analysis by implementing various nonlinear statistical analysis algorithm…
Optimizing a Bayesian method for estimating the Hurst exponent in behavioral sciences
Madhur Mangalam, Taylor Wilson, Joel Sommerfeld +1
The Bayesian Hurst-Kolmogorov (HK) method estimates the Hurst exponent of a time series more accurately than the age-old detrended fluctuation analysis (DFA), especially when the t…
Better than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences
Aaron D. Likens, Madhur Mangalam, Aaron Y. Wong +2
Detrended Fluctuation Analysis (DFA) is the most popular fractal analytical technique used to evaluate the strength of long-range correlations in empirical time series in terms of…