Statistics & Probability Letters

1982 - 2025

Current editor(s): Somnath Datta and Hira L. Koul

From Elsevier
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Volume 210, issue C, 2024

On the local limit theorems for linear sequences of lower psi-mixing Markov chains

Magda Peligrad, Hailin Sang and Na Zhang

SIR epidemic model with non-Lipschitz stochastic perturbations

Shuang Li and Jie Xiong

On the rate of normal approximation for Poisson continuum percolation

Tiffany Y.Y. Lo and Aihua Xia

On the preservation of ageing properties under random maxima

Panayiotis Bobotas and Markos V. Koutras

A multi-marginal c-convex duality theorem for martingale optimal transport

Julian Sester

A normal test for independence via generalized mutual information

Jialin Zhang and Zhiyi Zhang

Testing uniformity on the circle using spacings when data are rounded

S. Rao Jammalamadaka, Kaushik Ghosh and Sridhar Akiri

A note on series representation for the q-scale function of a class of spectrally negative Lévy processes

Ehyter M. Martín-González, Antonio Murillo-Salas and Henry Pantí

Smooth Matérn Gaussian random fields: Euler characteristic, expected number and height distribution of critical points

Dan Cheng

Some notes on ergodic theorem for U-statistics of order m for stationary and not necessarily ergodic sequences

Davide Giraudo

Asymptotic optimality of the square-root transformation on the gamma distribution using the Kullback–Leibler information number criterion

Kimihiro Noguchi and Mayla C. Ward

Hölder continuity of stochastic heat equation with rough Gaussian noise

Yuecai Han and Guanyu Wu

Explicit representation of invariant measures for 2-death processes

Yuhui Zhang and Yi Zhao

Coalescence times for critical Galton–Watson processes with immigration

Rong-Li Liu, Yan-Xia Ren and Yingrui Wang

Posterior robustness with milder conditions: Contamination models revisited

Yasuyuki Hamura, Kaoru Irie and Shonosuke Sugasawa

Wasserstein upper bounds of Lp-norms for multivariate densities in Besov spaces

Minwoo Chae

Volume 209, issue C, 2024

A universal right tail upper bound for supercritical Galton–Watson processes with bounded offspring

John Fernley and Emmanuel Jacob

Optimal detection of sparse gamma scale admixture with twice the null mean

Qikun Chen and Michael Stewart

Nonparametric density estimation over its unknown support for right censored data

Sam Efromovich

The gradient test statistic for outlier detection in generalized estimating equations

Felipe Osorio, Ángelo Gárate and Cibele M. Russo

Sparse basis covariance matrix estimation for high dimensional compositional data via hard thresholding

Huimin Li and Jinru Wang

Random rotor walks and i.i.d. sandpiles on Sierpiński graphs

Robin Kaiser and Ecaterina Sava-Huss

On the local compactness of spaces of positive measures

Alina Kargol

Limiting spectral distribution of Toeplitz and Hankel matrices with dependent entries

Shambhu Nath Maurya

Cramér’s moderate deviations for the LS estimator of the autoregressive processes in the neighborhood of the unit root

Yu Miao and Qing Yin

Conditions for equality in Anderson’s theorem

Filip Bočinec and Stanislav Nagy

A spectral based goodness-of-fit test for stochastic block models

Qianyong Wu and Jiang Hu

On the empirical approximation to quantiles from Lugannani–Rice saddlepoint formula

Jorge M Arevalillo

When lattice bases are Markov bases

Martin L. Hazelton and Masoud Karimi

Volume 208, issue C, 2024

Optimal square-root pooling from expert opinions

Alfred Kume, Cristiano Villa and Stephen G. Walker

On deterministic approximation for nearly critical branching processes with dependent immigration

I. Rahimov and S.O. Sharipov

On recovering the relative distribution, Part 1: The moment-recovered approach

Robert M. Mnatsakanov and Denys Pommeret

Random games under normal mean–variance mixture distributed independent linear joint chance constraints

Hoang Nam Nguyen, Abdel Lisser and Vikas Vikram Singh

Choice of the hypothesis matrix for using the Wald-type-statistic

Paavo Sattler and Georg Zimmermann

A negative binomial approximation to the distribution of the sum of maxima of indicator random variables

Amit N. Kumar and Poleen Kumar

Maximal inequalites and applications for reverse demimartingales based on concave Young functions

Decheng Feng and Gaihua Yang

A general logarithmic asymptotic behavior for partial sums of i.i.d. random variables

Yu Miao and Deli Li

A note on the induction of comonotonic additive risk measures from acceptance sets

Samuel S. Santos, Marlon R. Moresco, Marcelo B. Righi and Eduardo Horta

Estimating several survival functions under uniform stochastic ordering

Sebastian Arnold, Hammou El Barmi, Hari Mukerjee and Johanna Ziegel

On δ-shock model with a change point in intershock time distribution

Stathis Chadjiconstantinidis and Serkan Eryilmaz

Random Dirichlet series with α-stable coefficients

Huiyan Zhao and Yupei Huang

Target selection in shrinkage estimation of covariance matrix: A structural similarity approach

Xuanci Wang and Bin Zhang

Necessary and sufficient conditions for continuity of hypercontractive processes and fields

Patrik Nummi and Lauri Viitasaari

Intersections of Zipf random sets: Maximal weighted relevance

M.A. Lifshts and I.M. Lialinov

Beta approximation for the two alleles Moran model by Stein’s method

Jason Fulman

Asymptotic properties of mth spacings based on records

Ismihan Bayramoglu and Alexei Stepanov

Stochastic ordering for hitting times of fractional Brownian motions

Ulises Pérez-Cendejas and Gerardo Pérez-Suárez

Prediction of Gaussian Volterra processes with compound Poisson jumps

Hamidreza Maleki Almani, Foad Shokrollahi and Tommi Sottinen

Corrigendum to “Proximal causal inference without uniqueness assumptions” [Statistics and Probability Letters 198 (2023) 1-8/109836]

Jeffrey Zhang, Wei Li, Wang Miao and Eric Tchetgen Tchetgen

Product disintegrations: A law of large numbers via conditional independence

Luísa Borsato, Eduardo Horta and Rafael Rigão Souza

A class of multidimensional nonlinear diffusions with the Feller property

David Criens and Lars Niemann

Contaminated Kent mixture model for clustering non-spherical directional data with heavy tails or scatter

Aqi Dong and Volodymyr Melnykov

Convergence rate for the longest T-contaminated runs of heads

István Fazekas, Borbála Fazekas and Michael Ochieng Suja

A generalization bound of deep neural networks for dependent data

Quan Huu Do, Binh T. Nguyen and Lam Si Tung Ho

On uppermost discrete spacing

Valery B. Nevzorov and Alexei Stepanov

Nonparametric bootstrap for propensity score matching estimators

Hugo Bodory, Lorenzo Camponovo, Martin Huber and Michael Lechner

Nonparametric clustering of discrete probability distributions with generalized Shannon’s entropy and heatmap

Jialin Zhang and Jingyi Shi

Scalable efficient reproducible multi-task learning via data splitting

Xin Wen, Yang Li and Zemin Zheng

On local likelihood asymptotics for Gaussian mixed-effects model with system noise

Takumi Imamura, Hiroki Masuda and Hayato Tajima

Nearly minimax empirical Bayesian prediction of independent Poisson observables

Xiao Li

Some martingale properties of the simple random walk and its maximum process

Takahiko Fujita, Shotaro Yagishita and Naohiro Yoshida

On a family of Lévy processes without support in S′

R. Vilela Mendes

On a discrete symmetric optimal associated kernel for estimating count data distributions

Tristan Senga Kiessé and Gilles Durrieu

Mixed-level screening designs based on skew-symmetric conference matrices

Bo Hu, Dennis K.J. Lin and Fasheng Sun

A scaling limit of controlled branching processes

Jiawei Liu