49 citations · 980 across the 80 of their papers we have counts for
5 papers · 1 filter
Gradient Profile Estimation Using Exponential Cubic Spline Smoothing in a Bayesian Framework
Kushani De Silva, Carlo Cafaro, Adom Giffin
Attaining reliable profile gradients is of utmost relevance for many physical systems. In most situations, the estimation of gradient can be inaccurate due to noise. It is common p…
An information geometric perspective on the complexity of macroscopic predictions arising from incomplete information
Sean Alan Ali, Carlo Cafaro, Steven Gassner +1
Motivated by the presence of deep connections among dynamical equations, experimental data, physical systems, and statistical modeling, we report on a series of findings uncovered…
Causation entropy from symbolic representations of dynamical systems
Carlo Cafaro, Warren M. Lord, Jie Sun +1
Identification of causal structures and quantification of direct information flows in complex systems is a challenging yet important task, with practical applications in many field…
Identifying Coupling Structure in Complex Systems through the Optimal Causation Entropy Principle
Jie Sun, Carlo Cafaro, Erik M. Bollt
Inferring the coupling structure of complex systems from time series data in general by means of statistical and information-theoretic techniques is a challenging problem in applie…
Information geometric complexity of entropic motion on curved statistical manifolds
Carlo Cafaro
Physical systems behave according to their underlying dynamical equations which, in turn, can be identified from experimental data. Explaining data requires selecting mathematical…