284 citations · 587 across the 49 of their papers we have counts for
5 papers · 1 filter
Statistical significance in high-dimensional linear mixed models
Lina Lin, Mathias Drton, Ali Shojaie
This paper concerns the development of an inferential framework for high-dimensional linear mixed effect models. These are suitable models, for instance, when we have repeated…
Network Differential Connectivity Analysis
Sen Zhao, Stephen Ottinger, Suzanne Peck +2
Identifying differences in networks has become a canonical problem in many biological applications. Here, we focus on testing whether two Gaussian graphical models are the same. Ex…
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data
Hasan Manzour, Simge Küçükyavuz, Ali Shojaie
Learning directed acyclic graphs (DAGs) from data is a challenging task both in theory and in practice, because the number of possible DAGs scales superexponentially with the numbe…
Generalized Sparse Additive Models
Asad Haris, Noah Simon, Ali Shojaie
We present a unified framework for estimation and analysis of generalized additive models in high dimensions. The framework defines a large class of penalized regression estimators…
Wavelet regression and additive models for irregularly spaced data
Asad Haris, Noah Simon, Ali Shojaie
We present a novel approach for nonparametric regression using wavelet basis functions. Our proposal, , can be applied to non-equispaced data with sample size no…