The data science of networks is a rapidly developing field with myriad applications. In neuroscience, the brain commonly modeled as connectome, network nodes connected by edges. While there have been thousands papers on connectomics, statistics remains limited and poorly understood. Here, we provide an overview from perspective statistical kinds models, assumptions, problems, applications that ...

A variant of compactness designated as statistical has been introduced. Statistically compact subsets n-dimensional Euclidean space Rn have characterized by using Cantor-Bendixson derivative and it is further extended to the product RN.

This paper shows that belief?driven economic fluctuations are a general feature of many determinate macroeconomic models. In environments with hidden state variables, forecast?model misspecification can break the link between indeterminacy and sunspots by establishing existence “statistical sunspots” in models have unique rational expectations equilibrium. To form expectations, agents regress o...