11 citations · 42 across the 16 of their papers we have counts for
26 papers
Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes
Xu Wang, Ali Shojaie
Modern high-dimensional point process data, especially those from neuroscience experiments, often involve observations from multiple conditions and/or experiments. Networks of inte…
Direct estimation of differential Granger causality between two high-dimensional time series
Yue Wang, Jing Ma, Ali Shojaie
Differential Granger causality, that is understanding how Granger causal relations differ between two related time series, is of interest in many scientific applications. Modeling…
Interaction Models and Generalized Score Matching for Compositional Data
Shiqing Yu, Mathias Drton, Ali Shojaie
Applications such as the analysis of microbiome data have led to renewed interest in statistical methods for compositional data, i.e., multivariate data in the form of probability…
Causal Structural Learning Via Local Graphs
Wenyu Chen, Mathias Drton, Ali Shojaie
We consider the problem of learning causal structures in sparse high-dimensional settings that may be subject to the presence of (potentially many) unmeasured confounders, as well…
Definite Non-Ancestral Relations and Structure Learning
Wenyu Chen, Mathias Drton, Ali Shojaie
In causal graphical models based on directed acyclic graphs (DAGs), directed paths represent causal pathways between the corresponding variables. The variable at the beginning of s…
Inference on function-valued parameters using a restricted score test
Aaron Hudson, Marco Carone, Ali Shojaie
It is often of interest to make inference on an unknown function that is a local parameter of the data-generating mechanism, such as a density or regression function. Such estimand…