1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ML2018
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
Alexander Lin, Yingzhuo Zhang, Jeremy Heng +4
We propose a general statistical framework for clustering multiple time series that exhibit nonlinear dynamics into an a-priori-unknown number of sub-groups. Our motivation comes f…
stat.ME2017★ 1 cited
Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations
Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A Allsop +2
A fundamental problem in neuroscience is to characterize the dynamics of spiking from the neurons in a circuit that is involved in learning about a stimulus or a contingency. A key…