research
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01/29/2019
Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances
In this work, we consider the identifiability assumption of Gaussian str...
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10/05/2018
High-Dimensional Poisson DAG Model Learning Using ℓ_1-Regularized Regression
In this paper we develop a new approach for learning high-dimensional Po...
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05/08/2018
Learning Generalized Hypergeometric Distribution (GHD) DAG models
We introduce a new class of identifiable DAG models, where each node has...
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04/28/2017
Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS)
Learning DAG or Bayesian network models is an important problem in multi...
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02/14/2016