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

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樓主
發(fā)表于 2025-3-21 20:09:51 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bayesian Spectrum Analysis and Parameter Estimation
影響因子2023G. Larry Bretthorst
視頻videohttp://file.papertrans.cn/182/181880/181880.mp4
學科分類Lecture Notes in Statistics
圖書封面Titlebook: Bayesian Spectrum Analysis and Parameter Estimation;  G. Larry Bretthorst Book 1988 Springer-Verlag Berlin Heidelberg 1988 Fourier transfor
影響因子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
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沙發(fā)
發(fā)表于 2025-3-21 22:51:52 | 只看該作者
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.
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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.
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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.
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