{"title":"Lp-minimal solutions of BDSDEs with left continuous and stochastic linear growth coefficients and p∈(1,2)","authors":"J.M. Owo","doi":"10.1016/j.spl.2025.110433","DOIUrl":"10.1016/j.spl.2025.110433","url":null,"abstract":"<div><div>In this work, we investigate backward doubly stochastic differential equations. Via suitable approximations and comparison theorem, we prove the existence of a minimal solution in <span><math><msup><mrow><mi>L</mi></mrow><mrow><mi>p</mi></mrow></msup></math></span> sense, for any <span><math><mrow><mi>p</mi><mo>∈</mo><mrow><mo>(</mo><mn>1</mn><mo>,</mo><mn>2</mn><mo>)</mo></mrow></mrow></math></span>, when the coefficients are left continuous with stochastic linear growth.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110433"},"PeriodicalIF":0.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Complete convergence with regularly varying moments and norming constants","authors":"George Stoica , Deli Li","doi":"10.1016/j.spl.2025.110434","DOIUrl":"10.1016/j.spl.2025.110434","url":null,"abstract":"<div><div>We prove an extension of the Heyde–Rohatgi theorem on complete convergence of partial sums of i.i.d. random variables with general regularly varying moments and norming constants.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110434"},"PeriodicalIF":0.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semi-log-convexity of M/M/∞ queues on Z+","authors":"Huige Chen , Huaiqian Li","doi":"10.1016/j.spl.2025.110432","DOIUrl":"10.1016/j.spl.2025.110432","url":null,"abstract":"<div><div>We solve the problem left in the recent paper by N. Gozlan et al [Potential Analysis 58, 2023, 123–158], establishing the semi-log-convexity of semigroups associated with <span><math><mrow><mi>M</mi><mo>/</mo><mi>M</mi><mo>/</mo><mi>∞</mi></mrow></math></span> queuing processes on the set of non-negative integers. Our approach is global in nature and yields the sharp constant.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110432"},"PeriodicalIF":0.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Variable-selection consistency of linear quantile regression by validation set approach","authors":"Suin Kim, Sarang Lee, Nari Shin, Yoonsuh Jung","doi":"10.1016/j.spl.2025.110431","DOIUrl":"10.1016/j.spl.2025.110431","url":null,"abstract":"<div><div>We consider the problem of variable selection in the quantile regression model by cross-validation. Although cross-validation is commonly used in quantile regression for model selection, its theoretical justification has not yet been verified. In this work, we prove that cross-validation with the check loss function can lead to variable-selection consistency in quantile regression. Specifically, we investigate its asymptotic properties in linear quantile regression and its penalized version under both fixed and diverging number of parameters. For penalized models, penalties with the oracle property combined with cross-validation are shown to provide variable-selection consistency. In general, one of the crucial requirements for this consistency to hold is that the validation set size should be asymptotically equivalent to the total number of observations, which is also required in the conditional mean linear regression.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110431"},"PeriodicalIF":0.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Probability solution for time-fractional Fokker–Planck–Kolmogorov equations with time–space-dependent Lévy measure","authors":"Siyan Xu , Huiyan Zhao","doi":"10.1016/j.spl.2025.110427","DOIUrl":"10.1016/j.spl.2025.110427","url":null,"abstract":"<div><div>In this paper, we consider a class of generalized time-fractional Fokker–Planck–Kolmogorov equations with time–space-dependent Lévy measures, where time–space-dependent Lévy measures contain stable-like Lévy measures as special examples. After that, probability solutions are constructed for such Fokker–Planck–Kolmogorov equations based on the correspondence between the time–space-dependent Lévy measure and its related SDE.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110427"},"PeriodicalIF":0.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mean-field forward–backward stochastic differential equations driven by G-Brownian motion","authors":"Shengqiu Sun","doi":"10.1016/j.spl.2025.110429","DOIUrl":"10.1016/j.spl.2025.110429","url":null,"abstract":"<div><div>In this paper, we consider the mean-field forward–backward stochastic differential equations driven by <span><math><mi>G</mi></math></span>-Brownian motion with Lipschitz coefficients. The existence and uniqueness of solution on small time duration can be obtained by contraction mapping principle and some a prior estimates.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110429"},"PeriodicalIF":0.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison results of range-based quantities in the classical risk models","authors":"Mohamed Amine Lkabous, Mengni Yang","doi":"10.1016/j.spl.2025.110428","DOIUrl":"10.1016/j.spl.2025.110428","url":null,"abstract":"<div><div>In this paper, we investigate the range-based risk quantities in classical risk models. Specifically, we present some comparison results with respect to the stochastic ordering. We also propose some range-based VaR-type risk measures and study their properties, providing insights into their practical applications and implications for risk management.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110428"},"PeriodicalIF":0.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Large sample properties of modified maximum likelihood estimator of the location parameter using moving extremes ranked set sampling","authors":"Han Wang, Wangxue Chen","doi":"10.1016/j.spl.2025.110430","DOIUrl":"10.1016/j.spl.2025.110430","url":null,"abstract":"<div><div>The maximum likelihood estimator (MLE) obtained using moving extremes ranked set sampling (MERSS) typically does not have a closed form expression. In this study, we investigate a modified MLE (MMLE) utilizing MERSS for estimating the location parameter of a location family and analyze its properties in large samples. We derive the explicit form of the MMLE for two common distributions when MERSS is employed. The numerical results from two usual distributions indicate that the MMLE using MERSS is more efficient than that the MLE using simple random sampling with an equivalent sample size. The numerical results also indicate the loss of efficiency in using the MMLE under MERSS instead of the MLE under MERSS is very small for small values of <span><math><mi>m</mi></math></span>. Additionally, we examine the implications of imperfect ranking and demonstrate our approach using a real dataset.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110430"},"PeriodicalIF":0.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A note on the maximum probability of ultra log-concave distributions","authors":"Heshan Aravinda","doi":"10.1016/j.spl.2025.110418","DOIUrl":"10.1016/j.spl.2025.110418","url":null,"abstract":"<div><div>Jakimiuk et al. (2024) have proved that, if <span><math><mi>X</mi></math></span> is an ultra log-concave random variable with integral mean, then <span><math><mrow><munder><mrow><mo>max</mo></mrow><mrow><mi>n</mi></mrow></munder><mi>P</mi><mrow><mo>{</mo><mi>X</mi><mo>=</mo><mi>n</mi><mo>}</mo></mrow><mo>≥</mo><munder><mrow><mo>max</mo></mrow><mrow><mi>n</mi></mrow></munder><mi>P</mi><mrow><mo>{</mo><mi>Z</mi><mo>=</mo><mi>n</mi><mo>}</mo></mrow><mo>,</mo><mspace></mspace></mrow></math></span> where <span><math><mi>Z</mi></math></span> is a Poisson random variable with the parameter <span><math><mrow><mi>E</mi><mrow><mo>[</mo><mi>X</mi><mo>]</mo></mrow></mrow></math></span>. In this note, we show that this inequality does not always hold true when <span><math><mi>X</mi></math></span> is ultra log-concave with <span><math><mrow><mi>E</mi><mrow><mo>[</mo><mi>X</mi><mo>]</mo></mrow><mo>></mo><mn>1</mn></mrow></math></span>.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110418"},"PeriodicalIF":0.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143823885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mean reflected backward stochastic differential equations with jumps in a convex domain","authors":"Hongchao Qian","doi":"10.1016/j.spl.2025.110426","DOIUrl":"10.1016/j.spl.2025.110426","url":null,"abstract":"<div><div>In this paper, we study a class of multi-dimensional mean reflected backward stochastic differential equations driven by a Brownian motion and an independent Poisson random measure. In our setting, the constraint depends on the law of the solution rather than on its paths. Specifically, the expectation of the solution takes values in a convex domain in <span><math><msup><mrow><mi>R</mi></mrow><mrow><mi>n</mi></mrow></msup></math></span>. The existence and uniqueness of solutions are established by a penalization method.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"223 ","pages":"Article 110426"},"PeriodicalIF":0.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}