Feb 5, 2016 · Here, we present the spacey random walk, a non-Markovian stochastic process whose stationary distribution is given by the tensor eigenvector.

These processes are called higher-order Markov chains and are much better at modeling data in a variety of applications including airport travel flows (Rosvall ...

Here, we present the spacey random walk, a non-Markovian stochastic process whose stationary distribution is given by the tensor eigenvector. The process itself ...

The spacey random walk is presented, a non-Markovian stochastic process whose stationary distribution is given by the tensor eigenvector. Random walks are a ...

Here, we present the spacey random walk, a non-Markovian stochastic process whose stationary distribution is given by the tensor eigenvector. The process itself ...

Here, we present the spacey random walk, a non-Markovian stochastic process whose stationary distribution is given by the tensor eigenvector. The process itself ...

We show that this tensor eigenvector corresponds to the stationary distribution of a new stochastic process called a spacey random walk; it is a hybrid of a ...

This repository contains research code to accompany our work: The Spacey Random Walk: a Stochastic Process for Higher-order Data. Available on arXiv. Synthetic ...

May 21, 2016 · My talk at TMA 2016 (The workshop on Tensors, Matrices, and their Applications) on the relationship between a spacey random walk process and ...