165 citations · 243 across the 12 of their papers we have counts for
13 papers
VARX Granger Analysis: Modeling, Inference, and Applications
Lucas C. Parra, Aimar Silvan Ortubay, Maximilian Nentwich +2
Complex systems, such as brains, markets, and societies, exhibit internal dynamics influenced by external factors. Disentangling delayed external effects from internal dynamics wit…
Non-Asymptotic Guarantees for Reliable Identification of Granger Causality via the LASSO
Proloy Das, Behtash Babadi
Granger causality is among the widely used data-driven approaches for causal analysis of time series data with applications in various areas including economics, molecular biology,…
Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations
Anuththara Rupasinghe, Behtash Babadi
Extracting the spectral representations of the neural processes that underlie spiking activity is key to understanding how the brain rhythms mediate cognitive functions. While spec…
Multitaper Spectral Analysis of Neuronal Spiking Activity Driven by Latent Stationary Processes
Proloy Das, Behtash Babadi
Investigating the spectral properties of the neural covariates that underlie spiking activity is an important problem in systems neuroscience, as it allows to study the role of bra…
Sparsity Enables Estimation of both Subcortical and Cortical Activity from MEG and EEG
Pavitra Krishnaswamy, Gabriel Obregon-Henao, Jyrki Ahveninen +5
Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields…
Dynamic Bayesian Multitaper Spectral Analysis
Proloy Das, Behtash Babadi
Spectral analysis using overlapping sliding windows is among the most widely used techniques in analyzing non-stationary time series. Although sliding window analysis is convenient…