Abstract: For the online distributed estimation problem of time-varying parameters, we study a linear regression model with measurement noises over time-varying random graphs. We propose a distributed ...

While crime remains rare in the New York City subway, a surge in unpredictable attacks, not motivated by theft, signals a worrisome shift. By Stefanos Chen and Maria Cramer A top concern for ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

Current theory suggests that the network of interactions captures ... To capture the redundancy present in biochemical regulatory and signaling interactions, we present the effective graph, an ...

KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of ...

The mean reversion theory has led to many investment strategies, from stock trading techniques to options pricing models. Mean reversion trading tries to capitalize on extreme changes in the price ...