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Gaussian modeling with B-splines for spatial functional data on irregular domains 利用 B 样条对不规则域上的空间函数数据进行高斯建模
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-09-13 DOI: 10.1080/02331888.2024.2402069
Alvaro Alexander Burbano-Moreno, Vinícius Diniz Mayrink
Functional Data Analysis (FDA) has emerged as a powerful framework for datasets that exhibit continuous variation over specified intervals. Unlike traditional methods, FDA treats data as functions,...
函数数据分析(FDA)已成为一种强大的框架,适用于在指定区间内呈现连续变化的数据集。与传统方法不同,FDA 将数据视为函数,...
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引用次数: 0
Explainable machine learning for financial risk management: two practical use cases 用于金融风险管理的可解释机器学习:两个实际应用案例
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-09-13 DOI: 10.1080/02331888.2024.2401078
Angelo Famà, Jurgena Myftiu, Paolo Pagnottoni, Alessandro Spelta
We explore the potential of machine learning (ML) models applied in two financial risk management areas, i.e., credit risk management and financial risk hedging, through two practical use cases. Th...
我们通过两个实际应用案例,探讨了机器学习(ML)模型在两个金融风险管理领域(即信用风险管理和金融风险对冲)中的应用潜力。这...
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引用次数: 0
Robust estimator of the ruin probability in infinite time for heavy-tailed distributions 重尾分布无限时间内毁坏概率的稳健估算器
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-09-13 DOI: 10.1080/02331888.2024.2402497
El Hadji Deme, Yousri Slaoui, Modou Kebe, Solym Manou-Abi
The probability of ruin of an insurance company is one of the main risk measures considered in risk theory, and the problems of its calculation and approximation have attracted much attention. Stat...
保险公司破产的概率是风险理论中考虑的主要风险度量之一,其计算和近似问题已引起广泛关注。统计...
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引用次数: 0
A note on the asymptotic behavior of a mildly unstable integer-valued AR(1) model 关于轻度不稳定整数值 AR(1) 模型渐近行为的说明
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-09-13 DOI: 10.1080/02331888.2024.2400185
Ling Peng, Shujin Xie, Xiaohui Liu, Fukang Zhu
This note examines the conditional least squares (CLS) estimators for integer-valued autoregressive (INAR) models, with a focus on the INAR(1) model. Our investigation reveals that the joint limiti...
本文研究了整数值自回归(INAR)模型的条件最小二乘法(CLS)估计量,重点是 INAR(1)模型。我们的研究揭示了联合极限...
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引用次数: 0
Online updating Huber robust regression for big data streams 大数据流的在线更新休伯稳健回归
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-09-02 DOI: 10.1080/02331888.2024.2398057
Chunbai Tao, Shanshan Wang
Big data streams have garnered significant attention in multiple industries. However, the immense volume and the presence of outliers in high-velocity streaming data pose great challenges to its an...
大数据流已在多个行业引起极大关注。然而,高速流数据中巨大的数据量和异常值的存在给数据分析带来了巨大挑战。
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引用次数: 0
Rank-based correlation matrix estimation for high dimensional microbiome data 针对高维微生物组数据的基于等级的相关矩阵估计
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-08-29 DOI: 10.1080/02331888.2024.2396023
Jiyang Wang, Wanfeng Liang, Lijie Li, Feng Zou
In recent years, the progress made in high-throughout sequencing techniques supports the analysis of microbial communities greatly. The fact that real-world microbiome data lie in a high-dimensiona...
近年来,高通量测序技术的进步极大地支持了微生物群落分析。事实上,现实世界中的微生物组数据都是高维度的。
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引用次数: 0
Nonparametric statistical inference for compound models 复合模型的非参数统计推断
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-08-21 DOI: 10.1080/02331888.2024.2382726
Denis Belomestny, Ekaterina Morozova, Vladimir Panov
This paper deals with the statistical inference in compound models, which are defined as a sum of i.i.d. random variables ξ1+⋯+ξN, where the number of summands, N, is a random variable independent ...
本文讨论复合模型的统计推断,复合模型定义为 i.i.d. 随机变量ξ1+⋯+ξN 的和,其中和的数量 N 是一个独立的随机变量。
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引用次数: 0
Identifying a class of Ridge-type estimators in binary logistic regression models 识别二元逻辑回归模型中的一类岭型估计器
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-08-19 DOI: 10.1080/02331888.2024.2392771
Esra Ertan, Kadri Ulaş Akay
In the analysis of logistic regression models, various biased estimators have been proposed as an alternative to the maximum likelihood estimator (MLE) for estimating model parameters in the presen...
在逻辑回归模型分析中,人们提出了各种有偏估计器,作为最大似然估计器(MLE)的替代方法,用于估计模型参数。
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引用次数: 0
Inference on the common mean direction of several Fisher-von Mises-Langevin populations with unknown concentration parameters 推断具有未知浓度参数的若干费雪-冯-米塞斯-朗格文群体的共同平均方向
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-08-14 DOI: 10.1080/02331888.2024.2391416
Shreyashi Basak, Paavo Sattler, Somesh Kumar
The problem of combining information from several samples for estimating or testing a common mean for normal populations has been extensively studied in the statistical literature. In this paper, w...
统计文献中广泛研究了结合来自多个样本的信息来估计或检验正态分布的共同均值的问题。在本文中,我们...
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引用次数: 0
The application of Bayesian inference under SAFE model 贝叶斯推理在 SAFE 模型中的应用
IF 1.9 4区 数学 Q2 STATISTICS & PROBABILITY Pub Date : 2024-08-14 DOI: 10.1080/02331888.2024.2391402
Lunshuai Wu
This paper responds to Professor Paolo Giudici's call for papers in ‘Safe Machine Learning’ and explores the application of Bayesian inference within the SAFE model framework, aiming to enhance the...
本文响应了保罗-朱蒂奇教授在 "安全机器学习 "领域的论文征集活动,探讨了贝叶斯推理在 SAFE 模型框架中的应用,旨在加强...
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引用次数: 0
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