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09/08/2022
Identifiability in Continuous Lyapunov Models
The recently introduced graphical continuous Lyapunov models provide a n...
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03/25/2022
Nonparametric Conditional Local Independence Testing
Conditional local independence is an independence relation among continu...
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10/25/2021
Local Independence Testing for Point Processes
Constraint based causal structure learning for point processes require e...
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05/21/2020
Graphical continuous Lyapunov models
The linear Lyapunov equation of a covariance matrix parametrizes the equ...
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05/15/2020
Graphical modeling of stochastic processes driven by correlated errors
We study a class of graphs that represent local independence structures ...
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03/29/2020
Testing Conditional Independence via Quantile Regression Based Partial Copulas
The partial copula provides a method for describing the dependence betwe...
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05/07/2018
Soft Maximin Aggregation of Heterogeneous Array Data
The extraction of a common signal across many recordings is difficult wh...
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02/27/2018
Markov equivalence of marginalized local independence graphs
Symmetric independence relations are often studied using graphical repre...
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02/25/2018
Sparse Network Estimation for Dynamical Spatio-temporal Array Models
Neural field models represent neuronal communication on a population lev...
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10/25/2017
Learning Large Scale Ordinary Differential Equation Systems
Learning large scale nonlinear ordinary differential equation (ODE) syst...
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10/12/2015
Penalized estimation in large-scale generalized linear array models
Large-scale generalized linear array models (GLAMs) can be challenging t...
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05/06/2012
