activity
20062026
most citedLasso and probabilistic inequalities for multivariate point processes

130 citations · 289 across the 21 of their papers we have counts for

collaborators

23 papers

math.ST2026

Identifiability and Estimation in Continuous Lyapunov Models

Cecilie Olesen Recke, Niels Richard Hansen

Cross-sectional observations from a dynamical system can be modeled via steady-state distributions of Markov processes. The major challenge is then to determine whether the process…

math.ST2022

Identifiability in Continuous Lyapunov Models

Philipp Dettling, Roser Homs, Carlos Améndola +2

The recently introduced graphical continuous Lyapunov models provide a new approach to statistical modeling of correlated multivariate data. The models view each observation as a o…

math.ST2022★ 5 cited

Nonparametric Conditional Local Independence Testing

Alexander Mangulad Christgau, Lasse Petersen, Niels Richard Hansen

Conditional local independence is an asymmetric independence relation among continuous time stochastic processes. It describes whether the evolution of one process is directly infl…

stat.ME2021

Local Independence Testing for Point Processes

Nikolaj Thams, Niels Richard Hansen

Constraint based causal structure learning for point processes require empirical tests of local independence. Existing tests require strong model assumptions, e.g. that the true da…

stat.ML2020★ 5 cited

Graphical continuous Lyapunov models

Gherardo Varando, Niels Richard Hansen

The linear Lyapunov equation of a covariance matrix parametrizes the equilibrium covariance matrix of a stochastic process. This parametrization can be interpreted as a new graphic…

math.ST2020★ 12 cited

Graphical modeling of stochastic processes driven by correlated errors

Søren Wengel Mogensen, Niels Richard Hansen

We study a class of graphs that represent local independence structures in stochastic processes allowing for correlated error processes. Several graphs may encode the same local in…