M. McCullough

Phase space reconstruction: Methods in applied economics and econometrics

M. McCullough, 2008 .

NONLINEAR TIME SERIES ANALYSIS USING ORDINAL NETWORKS WITH SELECT APPLICATIONS IN BIOMEDICAL SIGNAL PROCESSING

M. McCullough, 2019, Bulletin of the Australian Mathematical Society.

Regenerating time series from ordinal networks.

Michael Small, Thomas Stemler, Konstantinos Sakellariou, 2017, Chaos.

Multiscale ordinal network analysis of human cardiac dynamics

M. Small, H. Iu, M. McCullough, 2017, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Endogenously determined cycles: empirical evidence from livestock industries.

M. McCullough, R. Huffaker, T. Marsh, 2012, Nonlinear dynamics, psychology, and life sciences.

Reconstructing nonlinear structure in regression residuals

R. Mittelhammer, M. McCullough, T. Marsh, 2014 .

Ordinal Network Measures — Quantifying Determinism in Data

Michael Small, Michael McCullough, Konstantinos Sakellariou, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Phase Space Reconstruction and Nonlinear Equilibrium Dynamics in the United States Beef Market

Thomas L. Marsh, Ray Huffaker, M. McCullough, 2007 .

Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling.

Michael Small, Thomas Stemler, Konstantinos Sakellariou, 2016, Chaos.

Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitter.

Michael Small, Thomas Stemler, Konstantinos Sakellariou, 2016, Chaos.

Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems.

Michael Small, Thomas Stemler, Herbert Ho-Ching Iu, 2015, Chaos.