Asymptotic normality of kernel type density estimators for random fields are
asymptotically normal if the set of locations of observations become more and more dense in an increasing
Trend and Initial Condition in Stationarity Tests: The Asymptotic AnalysisTrend and Initial Condition in Stationarity Tests: The
Asymptotic Analysis
Asymptotic expansion of the determinant of a perturbed matrixAsymptotic expansion of the determinant of a perturbed matrix
Asymptotic normality of kernel type density estimators for random fields are
asymptotically normal if the set of locations of observations become more and more dense in an increasing
Asymptotics of the heat kernels on 2D latticesWe obtain
asymptotic expansions of the spatially discrete 2D heat kernels, or Green's functions
On asymptotic expansion of posterior distribution© 2016, Pleiades Publishing, Ltd.The paper suggests a new
asymptotic expansion of posterior
First asymptotics of solutions of degenerate second-order differential equationsWe propose a method for constructing
asymptotic representations of solutions of linear degenerate
Asymptotic Expansion of D-Risks for Hypothesis Testing in Bernoulli Scheme© 2018, Pleiades Publishing, Ltd. Currently there is not a single
asymptotic expansion of d
Asymptote-based scientific animationThis article discusses a universal way to create animation using
Asymptote the language for vector