We report the findings of an experiment designed to study how people learn and make decisions in network games. Network games offer new opportunities to identify learning rules, since on networks (compared to e.g. random matching) more rules differ in terms of their information requirements. Our...

This paper investigates the dynamics of FDIs in the Baltic Sea Region (BSR) by applying the Poisson Pseudo-Maximum Likelihood estimation method on a gravity model. In particular, we analyze the influence of macro and spatial factors on investment stock changes and discuss whether the origin of...

This article contains the second part of the consultation series on copula functions and their use in modeling multidimensional probability distributions. It describes pair-copula functions (including the concept of canonical and D-vines), alternative measures of dependence useful to summarize...

Получены результаты для случая, когда неизвестные параметры содержатся в уравнениях состояния и наблюдения, начальных условиях и ковариационных матрицах помех...

Markov models of codon substitution are powerful inferential tools for studying biological processes such as natural selection and preferences in amino acid substitution. The equilibrium character distributions of these models are almost always estimated using nucleotide frequencies observed in...