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: Advances in Contemporary Statistics and Econometrics; Festschrift in Honor Abdelaati Daouia,Anne Ruiz-Gazen Book 2021 Springer Nature Switz

[复制链接]
查看: 6298|回复: 56
发表于 2025-3-21 18:16:01 | 显示全部楼层 |阅读模式
期刊全称Advances in Contemporary Statistics and Econometrics
期刊简称Festschrift in Honor
影响因子2023Abdelaati Daouia,Anne Ruiz-Gazen
视频video
发行地址Brings together contributions by statistics and econometrics experts in active areas of research.Presents modern and complex methods for spatial and compositional data analysis.Addresses nonparametric
图书封面Titlebook: Advances in Contemporary Statistics and Econometrics; Festschrift in Honor Abdelaati Daouia,Anne Ruiz-Gazen Book 2021 Springer Nature Switz
影响因子.This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field..
Pindex Book 2021
The information of publication is updating

书目名称Advances in Contemporary Statistics and Econometrics影响因子(影响力)




书目名称Advances in Contemporary Statistics and Econometrics影响因子(影响力)学科排名




书目名称Advances in Contemporary Statistics and Econometrics网络公开度




书目名称Advances in Contemporary Statistics and Econometrics网络公开度学科排名




书目名称Advances in Contemporary Statistics and Econometrics被引频次




书目名称Advances in Contemporary Statistics and Econometrics被引频次学科排名




书目名称Advances in Contemporary Statistics and Econometrics年度引用




书目名称Advances in Contemporary Statistics and Econometrics年度引用学科排名




书目名称Advances in Contemporary Statistics and Econometrics读者反馈




书目名称Advances in Contemporary Statistics and Econometrics读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:03:40 | 显示全部楼层
Calcium and Calcium Binding Proteinsws. In our approach, the optimization procedures are run forever (that is, without resorting to an early stopping strategy), and statistical regularization is basically achieved via an appropriate . penalization of the loss and strong convexity arguments.
发表于 2025-3-22 03:52:35 | 显示全部楼层
Oriol Bachs Ph.D.,Neus Agell Ph.D.oth of which use only information contained within the domain: the quantile-based estimator performs better than the former two for very small domain sample sizes. Access times to the first job for young female graduates in the Occitania region are used to illustrate the new methodology.
发表于 2025-3-22 07:38:47 | 显示全部楼层
发表于 2025-3-22 10:18:45 | 显示全部楼层
发表于 2025-3-22 13:56:36 | 显示全部楼层
Barbara E. Ehrlich,Michael Forte mean regression that offers the same flexibility. Additional assumptions on the influence of the temperature can be added via shape-constraints. The forecast of gas loads for very low temperatures based on this approach and the application of the obtained results is discussed.
发表于 2025-3-22 19:25:03 | 显示全部楼层
https://doi.org/10.1007/978-0-387-33370-0stently. Under fixed-domain asymptotics, the special case of the family of isotropic Matérn covariance functions is considered. It is shown that only a combination of the variance and spatial scale parameter is microergodic. A consistency and asymptotic normality proof is sketched for maximum likelihood estimators.
发表于 2025-3-22 21:34:45 | 显示全部楼层
发表于 2025-3-23 03:26:57 | 显示全部楼层
发表于 2025-3-23 09:30:05 | 显示全部楼层
Calcium and Cellular Metabolisml show that for error distributions supported on a finite set of points, this rate can be improved to the order of . for L.-risks. We also show that this rate is optimal and cannot be improved for Bernoulli errors.
 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, 2025-5-1 16:00
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