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This paper concerns a fractional function of the form x^Ta/sqrt{x^TBx}, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, and choosing (a,B)...
We prove a central limit theorem for the components of the largest eigenvector of the adjacency matrix of a one-dimensional random dot product graph whose true latent positions are unknown. In particu...
A Bernstein-von Mises theorem is derived for general semiparametric functionals. The result is applied to a variety of semiparametric problems, in i.i.d. and non-i.i.d. situations. In particular, new ...
We estimate linear functionals in the classical deconvolution problem by kernel esti-mators. We obtain a uniform central limit theorem with √n–rate on the assumption that the smoothness of the functio...
Bell’s (1964) theorem is popularly supposed to establish the non-locality of quantum physics as a mathematical-physical theory. Building from this, observed violation of Bell’s inequality in experimen...
Adaptive and interacting Markov Chains Monte Carlo (MCMC) algorithms are a novel class of non-Markovian algorithms aimed at improving the simulation efficiency for complicated target distributions.
This paper introduces a version of the argmax continuous mapping theorem that applies to M-estimation problems in which the objective functions converge to a limiting process with multiple maximizer...
In the so called lightbulb process, on days r = 1, . . . , n, out of n lightbulbs, all initially off, exactly rbulbs, selected uniformly and independent of the past, have their status changed from off...
This article presents a statistical analysis method and intro- duces the corresponding software package ”tailstat,” which is believed to be widely applicable to today’s internet so- ciety. The prop...
Under an appropriate regular variation condition, the affinely normalized partial sums of a sequence of independent and identically dis- tributed random variables converges weakly to a non-Gaussian ...
Two members of an exponential family can be represented as two points in the natural parameter space of that family or as two points in the expectation parameter space. The theorem describes a simp...
Central Limit Theorem in D for breakdown processes。
This note gives the convergence rate in the central limit theorem and the random central limit theorem of some functions of the average of independent random variables.
Representation theorem for multiply self-decomposable probability measures on generalized convolution algebra。

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