Proposes a Markov transform and estimator for the covariance kernel in functional data under Markov constraints, with a new test for the Markov property in continuous graphical models.
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RAVAS is an online algorithm that performs adaptive sparse regression by maintaining low-dimensional sufficient statistics and dynamically incorporating newly observed features as data streams in.
Integrates partial ODE physics into SDE-based causal discovery via drift-diffusion separation, with sparsity-inducing quasi-likelihood estimation, recovery guarantees for stable/unstable systems, and robustness analysis to model misspecification.
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Online Sparse Regression with Expanding Observables
RAVAS is an online algorithm that performs adaptive sparse regression by maintaining low-dimensional sufficient statistics and dynamically incorporating newly observed features as data streams in.