Time Series with Long Memory

Time Series with Long Memory pdf epub mobi txt 電子書 下載2025

出版者:Oxford Univ Pr
作者:Robinson, Peter M. 編
出品人:
頁數:392
译者:
出版時間:2003-8
價格:$ 62.15
裝幀:Pap
isbn號碼:9780199257300
叢書系列:
圖書標籤:
  •  
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

Long memory processes constitute a broad class of models for stationary and nonstationary time series data in economics, finance, and other fields. Their key feature is persistence, with high correlation between events that are remote in time. A single 'memory' parameter economically indexes this persistence, as part of a rich parametric or nonparametric structure for the process. Unit root processes can be covered, along with processes that are stationary but with stronger persistence than autoregressive moving averages, these latter being included in a broader class which describes both short memory and negative memory. Long memory processes have in recent years attracted considerable interest from both theoretical and empirical researchers in time series and econometrics. This book of readings collects articles on a variety of topics in long memory time series including modelling and statistical inference for stationary processes, stochastic volatility models, nonstationary processes, and regression and fractional cointegration models. Some of the articles are highly theoretical, others contain a mix of theory and methods, and an effort has been made to include empirical applications of the main approaches covered. A review article introduces the other articles but also attempts a broader survey, traces the history of the subject, and includes a bibliography.

具體描述

讀後感

評分

評分

評分

評分

評分

用戶評價

评分

评分

评分

评分

评分

本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度google,bing,sogou

© 2025 qciss.net All Rights Reserved. 小哈圖書下載中心 版权所有