3 papers
stat.ME2024
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
Aramayis Dallakyan, Yang Ni
The discovery of causal relationships from observational data is very challenging. Many recent approaches rely on complexity or uncertainty concepts to impose constraints on probab…
stat.CO2024
An Alternative Graphical Lasso Algorithm for Precision Matrices
Aramayis Dallakyan, Mohsen Pourahmadi
The Graphical Lasso (GLasso) algorithm is fast and widely used for estimating sparse precision matrices (Friedman et al., 2008). Its central role in the literature of high-dimensio…
stat.CO2023
On Learning Time Series Summary DAGs: A Frequency Domain Approach
Aramayis Dallakyan
The fields of time series and graphical models emerged and advanced separately. Previous work on the structure learning of continuous and real-valued time series utilizes the time…