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: Bayesian Spectrum Analysis and Parameter Estimation; G. Larry Bretthorst Book 1988 Springer-Verlag Berlin Heidelberg 1988 Fourier transfor

[复制链接]
查看: 49596|回复: 38
发表于 2025-3-21 20:09:51 | 显示全部楼层 |阅读模式
期刊全称Bayesian Spectrum Analysis and Parameter Estimation
影响因子2023G. Larry Bretthorst
视频video
学科分类Lecture Notes in Statistics
图书封面Titlebook: Bayesian Spectrum Analysis and Parameter Estimation;  G. Larry Bretthorst Book 1988 Springer-Verlag Berlin Heidelberg 1988 Fourier transfor
影响因子This work is essentially an extensive revision of my Ph.D. dissertation, [1J. It 1S primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently, we have included a great deal of introductory and tutorial material. Any person with the equivalent of the mathematics background required for the graduate­ level study of physics should be able to follow the material contained in this book, though not without eIfort. From the time the dissertation was written until now (approximately one year) our understanding of the parameter estimation problem has changed extensively. We have tried to incorporate what we have learned into this book. I am indebted to a number of people who have aided me in preparing this docu­ ment: Dr. C. Ray Smith, Steve Finney, Juana Sunchez, Matthew Self, and Dr. Pat Gibbons who acted as readers and editors. In addition, I must extend my deepest thanks to Dr. Joseph Ackerman for his support during the time this manuscript was being prepared.
Pindex Book 1988
The information of publication is updating

书目名称Bayesian Spectrum Analysis and Parameter Estimation影响因子(影响力)




书目名称Bayesian Spectrum Analysis and Parameter Estimation影响因子(影响力)学科排名




书目名称Bayesian Spectrum Analysis and Parameter Estimation网络公开度




书目名称Bayesian Spectrum Analysis and Parameter Estimation网络公开度学科排名




书目名称Bayesian Spectrum Analysis and Parameter Estimation被引频次




书目名称Bayesian Spectrum Analysis and Parameter Estimation被引频次学科排名




书目名称Bayesian Spectrum Analysis and Parameter Estimation年度引用




书目名称Bayesian Spectrum Analysis and Parameter Estimation年度引用学科排名




书目名称Bayesian Spectrum Analysis and Parameter Estimation读者反馈




书目名称Bayesian Spectrum Analysis and Parameter Estimation读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:51:52 | 显示全部楼层
The General Model Equation Plus Noise,rs easily, and above all selectively, was that the likelihood factored into independent parts. In the full spectrum analysis problem worked on by Jaynes, [12] the nuisance parameters were not independent, and the explicit solution required the diagonalization of a matrix that could be quite large.
发表于 2025-3-22 04:19:53 | 显示全部楼层
发表于 2025-3-22 05:47:02 | 显示全部楼层
Neuronal plasticity of the haptic systeme faced early in the design phase. Gathering the data in such a way as to learn the most about a phenomenon is what doing an experiment is all about. It will do an experimenter little good to obtain a set of data that does not bear directly on the model, or hypotheses, to be tested.
发表于 2025-3-22 10:34:37 | 显示全部楼层
发表于 2025-3-22 14:34:16 | 显示全部楼层
发表于 2025-3-22 19:21:00 | 显示全部楼层
发表于 2025-3-23 01:04:41 | 显示全部楼层
Intestinal Bacteria and Disease,tions {.., ⋅⋅⋅, ..}. We are hardly ever sure that the “true” model is actually contained in this set. Indeed, the “set of all possible models” is not only infinite, but it is also quite undefined. It is not even clear what one could mean by a “true” model; both questions may take us into an area more like theology than science.
发表于 2025-3-23 04:41:08 | 显示全部楼层
发表于 2025-3-23 07:38:08 | 显示全部楼层
 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, 2025-7-1 14:36
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