Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distr...
In this paper, a new block-based image-dependent watermarking technique is proposed. The proposed technique utilizes the correlation coefficient statistic to produce a short and un...
Traditional cryptographic primitives are not supported on low-cost RFID tags since, at most, 4K gates can be devoted to securityrelated tasks. Despite this, there are a vast number...