Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature.Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission.The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability.The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published.
《统计与概率快报》采用了一种新颖和高度创新的方法来发表统计与概率方面的研究成果。它的特点是文章简洁，出版迅速，广泛的统计和概率文献的覆盖面。统计与概率通讯是一个参考杂志。文章将限于6个期刊页（13个双倍行距打印页），包括参考文献和图表。除了六页的限制，原创性，质量和清晰度将是选择材料发表在统计与概率快报的标准。将尽一切努力在提交稿件后三个月内提供对稿件的第一次审查。文献的激增和出版物的长时间延误使研究人员和从业人员难以跟上其专业领域之外甚至内部的新发展。《统计与概率快报》的目的就是帮助缓解这个问题。简明的通讯（书信）使读者能够快速而轻松地消化大量的材料，并与统计学和概率论所有领域的发展保持同步。书信的主流将集中在新的统计方法，理论成果，以及统计学和概率论在其他科学学科中的创新应用。关键成果和中心思想必须简明扼要地提出。这些结果可能是一项更大的研究的一部分，作者将在稍后的时间以全文的形式提交给SPL或其他期刊。理论和方法论的发表可以省略证明，或者只做草图，但前提是要提供足够的支持材料，以便可以验证研究结果。具有重要价值的经验和计算结果将予以公布。
Large deviations in a population dynamics with catastrophes
来源期刊：Statistics & Probability LettersDOI：10.1016/j.spl.2019.01.029
Kernel density classification for spherical data
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.07.018
A variation of constant formula for Caputo fractional stochastic differential equations
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.10.010
Compactness criteria for quasi-infinitely divisible distributions on the integers
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.05.008
Jensen inequality for superlinear expectations
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.03.006
Zero-adjusted reparameterized Birnbaum–Saunders regression model
来源期刊：Statistics & Probability LettersDOI：10.1016/j.spl.2019.01.019
Another bias correction for asymmetric kernel density estimation with a parametric start
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.09.002
Double robustness without weighting
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.11.017
q-Stieltjes classes for some families of q-densities
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.11.013
Exact strong laws of large numbers for ratios of the smallest order statistics
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.04.014
Representation theorem of set valued regular martingale: Application to the convergence of set valued martingale
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.06.024
Nonparametric estimation of the trend for stochastic differential equations driven by small α-stable noises
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.03.012
One-sample prediction regions for future record intervals
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.05.005
Quantification of the impact of priors in Bayesian statistics via Stein’s Method
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.11.012
Copula-based segmentation of cylindrical time series
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.04.011
A note on large deviation probabilities for empirical distribution of branching random walks
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.11.029
Hazard rate and reversed hazard rate orders on extremes of heterogeneous and dependent random variables
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.11.005
Donsker type theorem for fractional Poisson process
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.01.036
Construction of Liouville Brownian motion via Dirichlet form theory
来源期刊：Statistics & Probability LettersDOI：10.1016/j.spl.2019.01.013
Partial monotonicity of entropy revisited
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.09.015
Two part envelopes for rejection sampling of some completely random measures
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.03.004
Time-varying cointegration model using wavelets
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.09.017
On computing maximum likelihood estimates for the negative binomial distribution
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.01.009
Law of the logarithm for weighted sums of negatively dependent random variables under sublinear expectation
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.01.033
On Brownian exit times from perturbed multi-strips
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.11.026
Pricing contingent convertible bonds: An analytical approach based on two-dimensional stochastic processes
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.12.009
Variable-based missing mechanism for an incomplete contingency table with unit missingness
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.11.006
Intrinsic metric and one-dimensional diffusions
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.03.009
A note on the length-biased Weibull-Gamma frailty survival model
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.05.009
Limit theorem for the Robin Hood game.
来源期刊：Statistics & probability lettersDOI：10.1016/J.SPL.2019.01.001
Priority of the result in ‘Mean field limit for survival probability of the high-dimensional contact process’
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.01.017
Inverting Khintchine’s relationship and generating length biased data
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.06.015
Efficient computation for Bayesian comparison of two proportions
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.08.011
Asymptotic near-efficiency of the “Gibbs-energy (GE) and empirical-variance” estimating functions for fitting Matérn models - II: Accounting for measurement errors via “conditional GE mean”
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2020.108726
A representation of noncommutative BMO spaces
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.05.003
On critical points of Gaussian random fields under diffeomorphic transformations
来源期刊：Statistics & Probability LettersDOI：10.1016/j.spl.2019.108672
Non-Lipschitz anticipated backward stochastic differential equations driven by fractional Brownian motion
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.108582
Probabilistic interpretation for Sobolev solutions of McKean–Vlasov partial differential equations
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.10.001
Squared-norm empirical processes
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.02.008
Pathwise uniqueness and non-explosion of SDEs driven by compensated Poisson random measures
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.02.010
Abundance estimation based on optimal estimating function with missing covariates in capture–recapture studies
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.04.003
A concentration inequality for inhomogeneous Neyman–Scott point processes
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2018.12.003
A note on the coefficients of elliptical random variables
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.05.004
A bound of the β-mixing coefficient for point processes in terms of their intensity functions
来源期刊：Statistics & Probability LettersDOI：10.1016/j.spl.2018.12.007
Exact distribution of the non-central Wilks’s statistic of the second kind
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.05.018
Different possible behaviors of wavelet leaders of the Brownian motion
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.02.003
On the first positive and negative excursion exceeding a given length
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.03.008
Estimating equations of additive mean residual life model with censored length-biased data
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.07.002
Limit properties of continuous self-exciting processes
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.108558
Scaling limit of the local time of the reflected (1,2)-random walk
来源期刊：Statistics & Probability LettersDOI：10.1016/J.SPL.2019.108578
