
Wavelet regression and additive models for irregularly spaced data
We present a novel approach for nonparametric regression using wavelet b...
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An Efficient ADMM Algorithm for Structural Break Detection in Multivariate Time Series
We present an efficient alternating direction method of multipliers (ADM...
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An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery
While most classical approaches to Granger causality detection repose up...
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Joint Estimation of Precision Matrices in Heterogeneous Populations
We introduce a general framework for estimation of inverse covariance, o...
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Inference in High Dimensions with the Penalized Score Test
In recent years, there has been considerable theoretical development reg...
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Inferring Regulatory Networks by Combining Perturbation Screens and Steady State Gene Expression Profiles
Reconstructing transcriptional regulatory networks is an important task ...
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The Cluster Graphical Lasso for improved estimation of Gaussian graphical models
We consider the task of estimating a Gaussian graphical model in the hig...
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Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs
Directed acyclic graphs (DAGs) are commonly used to represent causal rel...
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Joint Structural Break Detection and Parameter Estimation in HighDimensional NonStationary VAR Models
Assuming stationarity is unrealistic in many time series applications. A...
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Neural Granger Causality for Nonlinear Time Series
While most classical approaches to Granger causality detection assume li...
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Graphical Models for NonNegative Data Using Generalized Score Matching
A common challenge in estimating parameters of probability density funct...
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The Reduced PCAlgorithm: Improved Causal Structure Learning in Large Random Networks
We consider the task of estimating a highdimensional directed acyclic g...
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Generalized Score Matching for NonNegative Data
A common challenge in estimating parameters of probability density funct...
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Generalized Sparse Additive Models
We present a unified framework for estimation and analysis of generalize...
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Integer Programming for Learning Directed Acyclic Graphs from Continuous Data
Learning directed acyclic graphs (DAGs) from data is a challenging task ...
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Network Differential Connectivity Analysis
Identifying differences in networks has become a canonical problem in ma...
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Statistical significance in highdimensional linear mixed models
This paper concerns the development of an inferential framework for high...
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Differential Network Analysis: A Statistical Perspective
Networks effectively capture interactions among components of complex sy...
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Directed Graphical Models and Causal Discovery for ZeroInflated Data
Modern RNA sequencing technologies provide gene expression measurements ...
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Ali Shojaie
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