In this work, we study n-agent Bayesian games with m-dimensional vector types and linear payoffs, also called linear … multidimensional Bayesian games. This class of games is equivalent with n-agent, m-game uniform multigames. We distinguish between … existence of pure Bayesian Nash equilibriums for such games and efficient algorithms to find them. For continuous priors, we …

variable ordering and restrictive identification constraints. This paper applies the Bayesian graphical structural vector … and Bayesian VAR (BVAR), by delivering more precise impulse response estimates and better capturing the structural …

, from January 1, 2010 to January 3, 2020, is the forecasting issue we explore. Design/methodology/approach - Using Bayesian …

robust product reliability under a constrained randomization experiment. To consider random effects, we develop a Bayesian … method-based Weibull non-linear mixed model for the lifetime response. Important factors are identified according to Bayesian …

model and reduced-form parameters. Hence, researchers rely on prominent estimation methods, such as Bayesian approaches … approximate Bayesian computation combined with the choice of specific moment conditions. This estimation approach not only allows …