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31.
Estimation methods for stochastic volatility models: a survey 总被引:5,自引:0,他引:5
Abstract. Although stochastic volatility (SV) models have an intuitive appeal, their empirical application has been limited mainly due to difficulties involved in their estimation. The main problem is that the likelihood function is hard to evaluate. However, recently, several new estimation methods have been introduced and the literature on SV models has grown substantially. In this article, we review this literature. We describe the main estimators of the parameters and the underlying volatilities focusing on their advantages and limitations both from the theoretical and empirical point of view. We complete the survey with an application of the most important procedures to the S&P 500 stock price index. 相似文献
32.
Fisher and "Student" quarreled in the early days of statistics about the design of experiments, meant to measure the difference in yield between to breeds of corn. This discussion comes down to randomization versus model building. More than half a century has passed since, but the different views remain. In this paper the discussion is put in terms of artificial randomization and natural randomization, the latter being what remains after appropriate modeling. Also the Bayesian position is discussed. An example in terms of the old corn-breeding discussion is given, showing that a simple robust model may lead to inference and experimental design that outperforms the inference from randomized experiments by far. Finally similar possibilities are suggested in statistical auditing. 相似文献
33.
Jonathan Wakefield Taylor Okonek Jon Pedersen 《Revue internationale de statistique》2020,88(2):398-418
Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, from a bewildering range of philosophical standpoints. We describe design-based and model-based approaches and models that are specified at the area level and at the unit level, focusing on health applications and fully Bayesian spatial models. The use of auxiliary information is a key ingredient for successful inference when response data are sparse, and we discuss a number of approaches that allow the inclusion of covariate data. SAE for HIV prevalence, using data collected from a Demographic Health Survey in Malawi in 2015–2016, is used to illustrate a number of techniques. The potential use of SAE techniques for outcomes related to coronavirus disease 2019 is discussed. 相似文献
34.
Amanda E. Legate;Christian M. Ringle;Joseph F. Hair; 《Human Resource Development Quarterly》2024,35(4):501-529
In line with calls to stimulate methodological diversity and support evidence-based human resource development (HRD) through quantitative competencies, we present a methods demonstration leveraging open-source tools and lesser-known quantitative research methods to support the HRD research community and applied HRD in the workplace. In this paper, we provide an informative introduction to partial least squares structural equation modeling (PLS-SEM). We discuss PLS-SEM application trends in the field of HRD, present key characteristics of the method, and demonstrate up-to-date metrics and evaluation guidelines using an illustrative model. Our PLS-SEM demonstration and explanations can serve as a valuable resource for practitioners concerned with substantiating results for organizational stakeholders and support researchers in methodological decision-making while avoiding common pitfalls associated with less familiar methods. Our step-by-step demonstration is conducted in open-source software and accompanied by explicitly coded operations so that readers can easily replicate the illustrative analyses presented. 相似文献
35.
The literature on influencer marketing has identified opinion leadership of influencers and parasocial relationship with influencers as two focal constructs affecting followers' purchase intention; yet they are only studied in isolation. This research aims to provide a comprehensive understanding of the effects of the two key constructs by combining and comparing them in a model with the moderators of post characteristics, namely post type and correspondent inference. Empirical results from 409 online followers of two Instagram accounts confirm the complementary effects of opinion leadership and parasocial relationship in influencer marketing and reveal the more prominent role of parasocial relationship over opinion leadership in affecting followers’ purchase intention. These effects are moderated by post characteristics. Storytelling posts intensify both effects. Correspondent inference enhances the effect of parasocial relationship, but not that of opinion leadership. These findings point to the importance of the social aspect of influencer marketing and inform the influencer marketing research and practice on “who says what” for improving communication effectiveness. 相似文献
36.
TIAN-Baizhou 《商业经济(哈尔滨)》2008,(11)
网络经济对我国现行的企业统计带来了严峻挑战。企业统计必须要适应网络经济的需求,快速实现转型。应抓住统计作为信息管理工具在网络经济时代企业管理中的优势,从信息系统建设、完善统计工作、注重人才等方面,制定企业统计转型的思路。充分利用现代计算机技术、数据库技术和网络技术,实现统计数据采集、处理和管理的现代化。以其充分发挥职能作用,更好地为企业的生产经营管理活动服务。 相似文献
37.
Srinivas Talluri Thomas J. Kull Hakan Yildiz Jiho Yoon 《Journal of Business Logistics》2013,34(4):253-269
Mitigating supply chain risk is a critical component of a company's overall risk management strategy. Drawing upon Contingency Theory, we posit that the appropriateness and effectiveness of risk mitigation strategies are contingent on the internal and external environments and that there is no one‐size‐fits‐all strategy. While literature on risk management has proposed a variety of tools and techniques for effectively evaluating and managing supply chain risks, comprehensive assessment of the efficiencies of alternative risk mitigation strategies has not been addressed in the literature. Such an assessment will help managers select the appropriate mitigation strategy for a given decision‐making environment. To this end, this study is first of its kind in evaluating and proposing efficient supply chain risk mitigation strategies in the presence of a variety of risk categories, risk sources, and supply chain configurations. We combine an empirically grounded simulation methodology with data envelopment analysis and nonparametric statistical methods to analyze and rank alternative mitigation strategies. We find that the more efficient strategies focus on flexibility rather than on redundancy for supply chain failures. Our research presents several interesting and useful managerial insights for deciding what strategies are most capable of mitigating risks in a variety of contexts. 相似文献
38.
行包办理站的优化是一种基于全路车站行包办理量统计分析的优化方法。是解决多因素条件影响下铁路行包办理站址选择的依据。根据全路铁路行包办理站办理量及旅客列车加挂行李车编挂方案,按照始发终到、中途及中转车站作业情况,采用分析的方法给出了行包办理站设置的原则,并在此基础上得出未来行包办理站的优化方案。方案的执行可行性强,灵活且有针对性,对未来行包办理站的发展具有指导性意义。 相似文献
39.
针对病案统计系统中所需病案首页数据的要求,本文介绍在EMR系统中提取此数据设计的接口方法及分析思路,实现电子病历系统与病案统计系统病人医疗数据的信息共建共享。 相似文献
40.
Michael Monticino 《Revue internationale de statistique》2001,69(1):153-167
This article presents an overview of several constructive methods for generating random probability measures. Applications of random probability measures include Bayesian statistics, average optimal control problems, average error bounds for numerical equation solving methods, and models for random distributions of mass in space. 相似文献