利用伯恩斯坦多项式平滑估计具有混合协变量的条件量子函数

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Statistics Pub Date : 2024-04-12 DOI:10.1080/02331888.2024.2339268

Guanjie Lyu, Mohamed Belalia

引用次数: 0

摘要

条件量子函数是数据分析中理解协变量与响应变量之间关系的基本工具。在这项研究中，我们提出了一种新的估计方法...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Smooth estimation of conditional quantile function with mixed covariates using Bernstein polynomials

The conditional quantile function is a fundamental tool for understanding the relationship between covariates and the response variable in data analysis. In this study, we propose a novel estimator...

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来源期刊

Statistics 数学-统计学与概率论

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.