activity
20062009
most citedInferring Markov Chains: Bayesian Estimation, Model Comparison, Entropy Rate, and Out-of-class Modeling

66 citations · 129 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ed-ph200911 cited

A simple, low-cost, data-logging pendulum built from a computer mouse

Vadas Gintautas, Alfred Hubler

Lessons and homework problems involving a pendulum are often a big part of introductory physics classes and laboratory courses from high school to undergraduate levels. Although la…

nlin.CD200821 cited

Resonant forcing of nonlinear systems of differential equations

Vadas Gintautas, Alfred W. Hubler

We study resonances of nonlinear systems of differential equations, including but not limited to the equations of motion of a particle moving in a potential. We use the calculus of…

math.ST200766 cited

Inferring Markov Chains: Bayesian Estimation, Model Comparison, Entropy Rate, and Out-of-class Modeling

Christopher C. Strelioff, James P. Crutchfield, Alfred W. Hubler

Markov chains are a natural and well understood tool for describing one-dimensional patterns in time or space. We show how to infer -th order Markov chains, for arbitrary , f…

nlin.CD2007

Chaos in a one-dimensional compressible flow

Austin Gerig, Alfred Hubler

We study the dynamics of a one-dimensional discrete flow with open boundaries - a series of moving point particles connected by ideal springs. These particles flow towards an inlet…

physics.class-ph200631 cited

Mixed Reality States in a Bidirectionally Coupled Interreality System

Vadas Gintautas, Alfred Hubler

We present experimental data on the limiting behavior of an interreality system comprising a virtual horizontally driven pendulum coupled to its real-world counterpart, where the i…