45 citations · 50 across the 6 of their papers we have counts for
6 papers
Maximum effective dimension and information gain
David Janz, Arya Akhavan, Alexandre B. Tsybakov
We establish general upper bounds on the maximum effective dimension and information gain of kernel Gram matrices over arbitrary designs in terms of approximation properties of the…
Simultaneous clustering and estimation of additive shape invariant models for recurrent event data
Zitong Zhang, Shizhe Chen
Technological advancements have enabled the recording of spiking activities from large neuron ensembles, presenting an exciting yet challenging opportunity for statistical analysis…
An instrumental variable method for point processes: generalised Wald estimation based on deconvolution
Zhichao Jiang, Shizhe Chen, Peng Ding
Point processes are probabilistic tools for modeling event data. While there exists a fast-growing literature studying the relationships between point processes, it remains unexplo…
The Multivariate Hawkes Process in High Dimensions: Beyond Mutual Excitation
Shizhe Chen, Ali Shojaie, Eric Shea-Brown +1
The Hawkes process is a class of point processes whose future depends on their own history. Previous theoretical work on the Hawkes process is limited to a special case in which a…
Network Reconstruction From High Dimensional Ordinary Differential Equations
Shizhe Chen, Ali Shojaie, Daniela M. Witten
We consider the task of learning a dynamical system from high-dimensional time-course data. For instance, we might wish to estimate a gene regulatory network from gene expression d…
Selection and Estimation for Mixed Graphical Models
Shizhe Chen, Daniela Witten, Ali Shojaie
We consider the problem of estimating the parameters in a pairwise graphical model in which the distribution of each node, conditioned on the others, may have a different parametri…