找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Stochastic Models, Statistics and Their Applications; Wrocław, Poland, Feb Ansgar Steland,Ewaryst Rafajłowicz,Krzysztof Szajo Conference pr

[复制链接]
楼主: Arthur
发表于 2025-3-28 17:07:26 | 显示全部楼层
发表于 2025-3-28 21:57:13 | 显示全部楼层
Monitoring Changes in RCA Modelsand it is designed so that the sequential test has a small probability of a false alarm and asymptotic power one as the size of the training sample is sufficiently large. The asymptotic distribution of the detector statistic is established under both the null hypothesis of no change as well as under the alternative that a change occurs.
发表于 2025-3-29 00:54:14 | 显示全部楼层
发表于 2025-3-29 04:18:33 | 显示全部楼层
Adaptive Density Estimation from Data Containing Bounded Measurement Errorsernel density estimate applied to the noisy data and propose data-dependent method for choosing its bandwidth. We derive an adaptation result for this estimate and analyze the expected L1 error of our density estimate depending on the smoothness of the density and the size of the maximal measurement error.
发表于 2025-3-29 09:57:12 | 显示全部楼层
发表于 2025-3-29 14:29:09 | 显示全部楼层
发表于 2025-3-29 17:09:55 | 显示全部楼层
发表于 2025-3-29 21:03:17 | 显示全部楼层
Smoothed Nonparametric Derivative Estimation Based on Weighted Difference Sequencesods tend to produce bandwidths (or smoothing parameters) which are too small. In this paper, we propose a method based on bimodal kernels to cope with the non-i.i.d. data in the local polynomial regression framework.
发表于 2025-3-30 01:28:56 | 显示全部楼层
发表于 2025-3-30 04:25:03 | 显示全部楼层
Conference proceedings 2015us on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic model
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-13 16:48
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表