Journal of Statistical Planning and Inference最新文献

A Markov chain Monte Carlo construction of space-filling Latin Hypercube Samples 空间填充拉丁超立方体样本的马尔可夫链蒙特卡罗构造

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-09-01 Epub Date: 2026-02-07 DOI: 10.1016/j.jspi.2026.106387

Rami El Haddad , Diala Wehbe , Nicolas Wicker , Matthias Hwai Yong Tan

引用次数: 0

QB-optimal two-level designs for the baseline parameterization 基线参数化的最优两级设计

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-09-01 Epub Date: 2026-02-06 DOI: 10.1016/j.jspi.2026.106380

Xietao Zhou, Steven G. Gilmour

{"title":"QB-optimal two-level designs for the baseline parameterization","authors":"Xietao Zhou, Steven G. Gilmour","doi":"10.1016/j.jspi.2026.106380","DOIUrl":"10.1016/j.jspi.2026.106380","url":null,"abstract":"<div><div>There has been recent interest in the baseline parameterization for two-level factorial designs. The association matrix that expresses the estimator of effects under the baseline parameterization is obtained in an equivalent form as a linear function of estimators of effects under the traditional centered parameterization. This allows the generalization of the <span><math><msub><mrow><mi>Q</mi></mrow><mrow><mi>B</mi></mrow></msub></math></span> criterion which evaluates designs under model uncertainty in the traditional centered parameterization to be applicable to the baseline parameterization. Some optimal designs under the baseline parameterization seen in the previous literature are evaluated and it has been shown that at a given prior probability of a main effect being in the best fitted model from the experimental data, the design in the literature converges to being <span><math><msub><mrow><mi>Q</mi></mrow><mrow><mi>B</mi></mrow></msub></math></span> optimal as the probability of an interaction being in that model converges to 0 from above. The <span><math><msub><mrow><mi>Q</mi></mrow><mrow><mi>B</mi></mrow></msub></math></span> optimal designs for two setups of factors and run sizes at various priors are found by an extended coordinate exchange algorithm and the evaluation of their performances are discussed. Comparisons have been made to those optimal designs restricted to be level-balanced and orthogonal.</div></div>","PeriodicalId":50039,"journal":{"name":"Journal of Statistical Planning and Inference","volume":"244 ","pages":"Article 106380"},"PeriodicalIF":0.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175444","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}

引用次数: 0

First passage time and inverse problem for continuous local martingales 连续局部鞅的首次通过时间与逆问题

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-07-01 Epub Date: 2026-01-19 DOI: 10.1016/j.jspi.2026.106376

Yoann Potiron

引用次数: 0

A class of mixed-level amplified designs and their space-filling properties 一类混合级放大设计及其空间填充特性

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-07-01 Epub Date: 2025-12-19 DOI: 10.1016/j.jspi.2025.106372

Zuohang Kang , Zujun Ou

引用次数: 0

Nonparametric estimation of the quantiles of the conditional residual lifetime distribution 条件残差寿命分布分位数的非参数估计

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-07-01 Epub Date: 2026-01-06 DOI: 10.1016/j.jspi.2026.106373

Steven Abrams , Paul Janssen , Noël Veraverbeke

{"title":"Nonparametric estimation of the quantiles of the conditional residual lifetime distribution","authors":"Steven Abrams , Paul Janssen , Noël Veraverbeke","doi":"10.1016/j.jspi.2026.106373","DOIUrl":"10.1016/j.jspi.2026.106373","url":null,"abstract":"<div><div>In medical research interest is often in studying either the association between an event time <span><math><msub><mrow><mi>T</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and a continuous covariate <span><math><msub><mrow><mi>T</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> or between two event times <span><math><msub><mrow><mi>T</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> and <span><math><msub><mrow><mi>T</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> where event times are typically subject to (right) censoring. Although the strength of dependence between such random variables can be expressed in terms of global and local association measures, it is interesting to study alternative quantities such as percentiles of the residual lifetime distribution with regard to <span><math><msub><mrow><mi>T</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>, conditional on <span><math><msub><mrow><mi>T</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> taking values in a given interval. In this paper, we extend existing methods to estimate quantiles of the conditional residual lifetime distribution needed to encompass a more flexible classification of subjects into subgroups based on their respective <span><math><msub><mrow><mi>T</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>-values. More specifically, we propose two estimators under one-component, respectively under univariate censoring, and provide a detailed study of their finite-sample performance. We demonstrate the use of these estimators for two medical datasets on (1) monoclonal gammopathy of undetermined significance, and (2) on overall mortality in Danish twin members.</div></div>","PeriodicalId":50039,"journal":{"name":"Journal of Statistical Planning and Inference","volume":"243 ","pages":"Article 106373"},"PeriodicalIF":0.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925000","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}

引用次数: 0

Template based functional prediction with applications to noninvasive mechanical ventilation and surface EMG techniques 基于模板的功能预测及其在无创机械通气和表面肌电图技术中的应用

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-07-01 Epub Date: 2026-01-14 DOI: 10.1016/j.jspi.2026.106375

Jan Beran , Jeremy Näscher , Franziska Farquharson , Jan Graßhoff , Stephan Walterspacher

引用次数: 0

Uniformity pattern and uniform projection designs based on absolute discrepancy 基于绝对差值的均匀模式和均匀投影设计

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-07-01 Epub Date: 2026-01-23 DOI: 10.1016/j.jspi.2026.106377

Na Zou, Yao Xiao

{"title":"Uniformity pattern and uniform projection designs based on absolute discrepancy","authors":"Na Zou, Yao Xiao","doi":"10.1016/j.jspi.2026.106377","DOIUrl":"10.1016/j.jspi.2026.106377","url":null,"abstract":"<div><div>This paper mainly investigates the projection uniformity of experimental designs based on absolute discrepancy, a newly proposed uniformity criterion particularly suitable for modern experiments with discrete experimental domains. We first establish a general framework of the uniformity pattern defined over the discrete experimental domain via the theory of the reproducing kernel. Then, we highlight the uniformity pattern based on absolute discrepancy and propose a new minimum projection uniformity criterion to evaluate and compare designs more effectively. Theoretical results show the consistence between the proposed minimum projection uniformity criterion and other classical design screening criteria in the sense of level permutations, while several examples demonstrate the superior performance of the new criterion. We also present the uniform projection design under absolute discrepancy, exhibiting superior projection uniformity across all dimensions. Numerical simulations show that uniform projection designs outperform uniform designs under absolute discrepancy in prediction performance, especially in experiments with inert factors.</div></div>","PeriodicalId":50039,"journal":{"name":"Journal of Statistical Planning and Inference","volume":"243 ","pages":"Article 106377"},"PeriodicalIF":0.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023073","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}

引用次数: 0

On deriving Liouville process from Liouville distribution and its application in nonparametric Bayesian inference 由Liouville分布导出Liouville过程及其在非参数贝叶斯推理中的应用

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-07-01 Epub Date: 2025-11-26 DOI: 10.1016/j.jspi.2025.106368

Sadegh Chegini, Mahmoud Zarepour

引用次数: 0

Robust transfer learning under generalized linear errors-in-variables models 广义线性变量误差模型下的鲁棒迁移学习

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-07-01 Epub Date: 2026-01-24 DOI: 10.1016/j.jspi.2026.106378

Zhenglong Zhang, Houlin Zhou, Xuejun Wang

{"title":"Robust transfer learning under generalized linear errors-in-variables models","authors":"Zhenglong Zhang, Houlin Zhou, Xuejun Wang","doi":"10.1016/j.jspi.2026.106378","DOIUrl":"10.1016/j.jspi.2026.106378","url":null,"abstract":"<div><div>Transfer learning enhances statistical modeling by utilizing source-task information, but its effectiveness can be compromised when the common assumption of error-free covariates is violated, as measurement error often leads to biased estimates and invalid inference. To address this critical issue, we propose a novel transfer learning framework for generalized linear errors-in-variables models (GLEVMs), which account for classical additive measurement error in covariates. We introduce a functional similarity structure linking source and target parameters, and develop the errors-in-variables transfer learning likelihood (ev-TLL) method based on weighted likelihood. Under mild regularity conditions, we establish the asymptotic normality of the proposed estimator and demonstrate that it achieves faster convergence rates than traditional methods without transfer learning. Extensive simulations under both linear and nonlinear GLEVMs confirm the superior estimation accuracy of our approach. Finally, a real data application to the Maryland Biological Stream Survey highlights the practical benefits of ev-TLL over models using only target-domain data.</div></div>","PeriodicalId":50039,"journal":{"name":"Journal of Statistical Planning and Inference","volume":"243 ","pages":"Article 106378"},"PeriodicalIF":0.8,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076893","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}

引用次数: 0

Robust estimation with Latin Hypercube Sampling: A Central Limit Theorem for Z-estimators 拉丁超立方抽样的稳健估计：z估计量的中心极限定理

IF 0.8 4区数学

Journal of Statistical Planning and Inference Pub Date : 2026-07-01 Epub Date: 2026-01-06 DOI: 10.1016/j.jspi.2026.106374

Faouzi Hakimi

引用次数: 0