This paper brings a contribution to the Bayesian theory of nonparametric and semiparametric estimation. We are interested in the asymptotic normality of the posterior distribution in Gaussian linear ...

A central limit theorem is given for certain weighted partial sums of a covariance stationary process, assuming it is linear in martingale differences, but without any restriction on its spectrum. We ...

Peter St. Onge writes: The debate whether or not cryptocurrencies are “money” has put a spotlight on the Menger-Mises Regression Theorem. As stated, the theorem posits that a non-fiat money must have ...