找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Hierarchical Archimedean Copulas; Jan Górecki,Ostap Okhrin Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive lice

[復(fù)制鏈接]
查看: 34339|回復(fù): 44
樓主
發(fā)表于 2025-3-21 16:11:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Hierarchical Archimedean Copulas
編輯Jan Górecki,Ostap Okhrin
視頻videohttp://file.papertrans.cn/427/426124/426124.mp4
概述Broadens understanding of copulas, with a focus on Hierarchical Archimedean Copulas, and their applications.Provides the knowledge and tools for modeling complex dependence structures.Features exercis
叢書名稱SpringerBriefs in Applied Statistics and Econometrics
圖書封面Titlebook: Hierarchical Archimedean Copulas;  Jan Górecki,Ostap Okhrin Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive lice
描述This book offers a thorough understanding of Hierarchical Archimedean Copulas (HACs) and their practical applications. It covers the basics of copulas, explores the Archimedean family, and delves into the specifics of HACs, including their fundamental properties. The text also addresses sampling algorithms, HAC parameter estimation, and structure, and highlights temporal models with applications in finance and economics. The final chapter introduces R, MATLAB, and Octave toolboxes for copula modeling, enabling students, researchers, data scientists, and practitioners to model complex dependence structures and make well-informed decisions across various domains.
出版日期Book 2024
關(guān)鍵詞Hierarchical Archimedean Copulas; Copulas; Archimedean Copulas; Dependence Modeling; Temporal Models; Cop
版次1
doihttps://doi.org/10.1007/978-3-031-56337-9
isbn_softcover978-3-031-56336-2
isbn_ebook978-3-031-56337-9Series ISSN 2524-4116 Series E-ISSN 2524-4124
issn_series 2524-4116
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Hierarchical Archimedean Copulas影響因子(影響力)




書目名稱Hierarchical Archimedean Copulas影響因子(影響力)學(xué)科排名




書目名稱Hierarchical Archimedean Copulas網(wǎng)絡(luò)公開度




書目名稱Hierarchical Archimedean Copulas網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Hierarchical Archimedean Copulas被引頻次




書目名稱Hierarchical Archimedean Copulas被引頻次學(xué)科排名




書目名稱Hierarchical Archimedean Copulas年度引用




書目名稱Hierarchical Archimedean Copulas年度引用學(xué)科排名




書目名稱Hierarchical Archimedean Copulas讀者反饋




書目名稱Hierarchical Archimedean Copulas讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:58:35 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:05:42 | 只看該作者
地板
發(fā)表于 2025-3-22 06:46:56 | 只看該作者
Jan Górecki,Ostap OkhrinBroadens understanding of copulas, with a focus on Hierarchical Archimedean Copulas, and their applications.Provides the knowledge and tools for modeling complex dependence structures.Features exercis
5#
發(fā)表于 2025-3-22 10:28:48 | 只看該作者
SpringerBriefs in Applied Statistics and Econometricshttp://image.papertrans.cn/h/image/426124.jpg
6#
發(fā)表于 2025-3-22 15:30:54 | 只看該作者
Software,ecki et al., .) could be an ideal choice. This toolbox is described in Sect. .. While we do not intend to cover all the possible capabilities of these toolboxes, we will present the key concepts, enabling readers to take their first steps in HAC modeling with their preferred software and interpret the results effectively.
7#
發(fā)表于 2025-3-22 18:23:24 | 只看該作者
Book 2024, explores the Archimedean family, and delves into the specifics of HACs, including their fundamental properties. The text also addresses sampling algorithms, HAC parameter estimation, and structure, and highlights temporal models with applications in finance and economics. The final chapter introdu
8#
發(fā)表于 2025-3-23 00:35:38 | 只看該作者
Book 2024ces R, MATLAB, and Octave toolboxes for copula modeling, enabling students, researchers, data scientists, and practitioners to model complex dependence structures and make well-informed decisions across various domains.
9#
發(fā)表于 2025-3-23 05:23:16 | 只看該作者
10#
發(fā)表于 2025-3-23 08:51:15 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 09:08
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
道孚县| 靖边县| 大冶市| 南昌县| 黔南| 郎溪县| 龙里县| 静海县| 册亨县| 台东县| 西贡区| 阿克苏市| 祥云县| 梁河县| 雷州市| 光山县| 濉溪县| 武义县| 平湖市| 英吉沙县| 广丰县| 鄂托克前旗| 德格县| 佛山市| 板桥市| 华蓥市| 连城县| 大埔区| 即墨市| 杂多县| 遂昌县| 加查县| 平阳县| 株洲县| 唐海县| 焉耆| 神木县| 庆城县| 彩票| 瓦房店市| 福建省|