期刊： STATISTICS & PROBABILITY LETTERS, 2023; 193 ()
In this work, we discuss some properties of spacings based on order statistics from normal population. We present the joint density of spacings and th......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 193 ()
This paper introduces a new viewpoint of Peng's independence in sublinear expectation theory via conditional expectation and provides new construction......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 193 ()
In this paper, we study the fractional smoothness of integral functionals driven by Brownian motion. By using Yamada identities, we also obtain the fr......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 193 ()
In this paper we propose an evolving network model, which is a randomized version of the pseudofractal graphs by introducing an evolutionary parameter......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 195 ()
This work proposes a reweighted, madogram-type estimator for the Pickands depen-dence function of bivariate time series and illustrates how it brings ......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 194 ()
In a recent paper by Alhakim and Molchanov (2019), the authors deal with a certain sum of independent and identically distributed random variables and......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 197 ()
The Gaussian product inequality is an important conjecture concerning the moments of Gaussian random vectors. While all attempts to prove the Gaussian......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 197 ()
We provide a formula for the expected waiting time until more than one words appear among given words in a random sequence, and show that distribution......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 201 ()
For the Riemann zeta-function, we introduce a function such that it is a characteristic function of an infinitely divisible distribution on the real l......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 203 ()
We propose the Huber estimator for the network autoregressive model, which exhibits both robustness and efficiency under heavy-tailed errors and loses......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 205 ()
Estimating prevalence q, the fraction of a population with a specific medical condition, is fundamental to epidemiology. Traditional methods address t......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 193 ()
We consider the class of (possibly killed) spectrally positive Levy process that have been time-changed by the inverse of an integral functional. With......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 193 ()
In this note we (in particular) prove an almost sure invariance principle (ASIP) for non-stationary and uniformly bounded sequences of random variable......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 195 ()
In this paper, we provide an answer to the following question: In the particular case of a non-differentiable likelihood, is the formula for the BIC m......
期刊： STATISTICS & PROBABILITY LETTERS, 2023; 195 ()
We consider an infinite-server queue with Markov-modulated non-homogeneous arrival and service processes. We adopt the martingale central limit theore......
