Estimating Network Processes via Blind Identification of Multiple Graph Filters
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2993780
Abstract: This paper studies the problem of jointly estimating multiple network processes driven by a common unknown input, thus effectively generalizing the classical blind multi-channel identification problem to graphs. More precisely, we model network processes as… read more here.
Keywords: network processes; multiple graph; identification; graph ... See more keywords
The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.3012946
Abstract: Vector autoregressive models provide a simple generative model for multivariate, time-series data. The autoregressive coefficients of the vector autoregressive model describe a network process. However, in real-world applications such as macroeconomics or neuroimaging, time-series data… read more here.
Keywords: model; network processes; network; time series ... See more keywords
Peer Network Processes in Adolescents' Health Lifestyles.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of health and social behavior"
DOI: 10.1177/00221465211054394
Abstract: Combining theories of health lifestyles-interrelated health behaviors arising from group-based identities-with those of network and behavior change, we investigated network characteristics of health lifestyles and the role of influence and selection processes underlying these characteristics.… read more here.
Keywords: network processes; processes adolescents; peer network; health lifestyles ... See more keywords