Factor analysis is a well known statistical method to describe the variability among observed variables in terms of a smaller number of unobserved latent variables called factors. While dealing with multivariate time series, the temporal correlation structure of data may be modeled by including...

This paper models the learning process of populations of randomly rematched tabula rasa neural network (NN) agents playing randomly generated 2×2 normal form games of all strategic classes. This approach has greater external validity than the existing models in the literature, each of which is...

We present a numerical study of the flow segregation problem in bidimensional piles. To simulate the pile formation, we employ a pseudo-dynamics method. The model allows us to vary the concentration of big and small grains present in the pile and the size ratio between them. The different...

We revisit stochastic thermodynamics for a system with discrete energy states in contact with a heat and particle reservoir.