Drawing conclusions from cross-lagged relationships: Re-considering the role of the time-interval
The cross-lagged panel model (CLPM), a discrete-time (DT) SEM model, is frequently used
to gather evidence for (reciprocal) Granger-causal relationships when lacking an …
to gather evidence for (reciprocal) Granger-causal relationships when lacking an …
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
A Bellot, K Branson, M van der Schaar - arXiv preprint arXiv:2105.02522, 2021 - arxiv.org
The discovery of structure from time series data is a key problem in fields of study working
with complex systems. Most identifiability results and learning algorithms assume the …
with complex systems. Most identifiability results and learning algorithms assume the …
Linear dynamic network reconstruction from heterogeneous datasets
This paper addresses reconstruction of linear dynamic networks from heterogeneous
datasets. Those datasets consist of measurements from linear dynamical systems in multiple …
datasets. Those datasets consist of measurements from linear dynamical systems in multiple …
Dynamic network reconstruction from heterogeneous datasets
Performing multiple experiments is common when learning internal mechanisms of complex
systems. These experiments can include perturbations of parameters or external …
systems. These experiments can include perturbations of parameters or external …
[PDF][PDF] Identification of sparse continuous-time linear systems with low sampling rate: Exploring matrix logarithms
Z Yue, J Thunberg, L Ljung… - arXiv preprint arXiv …, 2016 - researchgate.net
A continuous time linear dynamic in state space form has an A-matrix that reveals the
connection between the states. Many dynamical systems allow aa sparse structure for this …
connection between the states. Many dynamical systems allow aa sparse structure for this …
Dynamic network reconstruction in systems biology: Methods and algorithms
Z Yue - 2018 - orbilu.uni.lu
Dynamic network reconstruction refers to a class of problems that explore causal
interactions between variables operating in dynamical systems. This dissertation focuses on …
interactions between variables operating in dynamical systems. This dissertation focuses on …
System aliasing in dynamic network reconstruction: issues on low sampling frequencies
Network reconstruction of dynamical continuous-time (CT) systems is motivated by
applications in many fields. Due to experimental limitations, especially in biology, data can …
applications in many fields. Due to experimental limitations, especially in biology, data can …