標(biāo)題: Titlebook: Bayesian Spectrum Analysis and Parameter Estimation; G. Larry Bretthorst Book 1988 Springer-Verlag Berlin Heidelberg 1988 Fourier transfor [打印本頁] 作者: cherub 時(shí)間: 2025-3-21 20:09
書目名稱Bayesian Spectrum Analysis and Parameter Estimation影響因子(影響力)
書目名稱Bayesian Spectrum Analysis and Parameter Estimation影響因子(影響力)學(xué)科排名
書目名稱Bayesian Spectrum Analysis and Parameter Estimation網(wǎng)絡(luò)公開度
書目名稱Bayesian Spectrum Analysis and Parameter Estimation網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bayesian Spectrum Analysis and Parameter Estimation被引頻次
書目名稱Bayesian Spectrum Analysis and Parameter Estimation被引頻次學(xué)科排名
書目名稱Bayesian Spectrum Analysis and Parameter Estimation年度引用
書目名稱Bayesian Spectrum Analysis and Parameter Estimation年度引用學(xué)科排名
書目名稱Bayesian Spectrum Analysis and Parameter Estimation讀者反饋
書目名稱Bayesian Spectrum Analysis and Parameter Estimation讀者反饋學(xué)科排名
作者: FLAIL 時(shí)間: 2025-3-21 22:51
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.作者: deviate 時(shí)間: 2025-3-22 04:19 作者: 不公開 時(shí)間: 2025-3-22 05:47
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.作者: LAY 時(shí)間: 2025-3-22 10:34 作者: 弄污 時(shí)間: 2025-3-22 14:34 作者: capsule 時(shí)間: 2025-3-22 19:21 作者: 油膏 時(shí)間: 2025-3-23 01:04
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.作者: Esalate 時(shí)間: 2025-3-23 04:41 作者: 障礙 時(shí)間: 2025-3-23 07:38 作者: forbid 時(shí)間: 2025-3-23 12:08
Single Stationary Sinusoid Plus Noise,frequencies and more complex models; second, to introduce a different prior probability for the amplitudes, which simplifies the calculation but has almost no effect on the final result; and third, to introduce and discuss the calculation techniques without the complex model functions confusing the issues.作者: Noctambulant 時(shí)間: 2025-3-23 13:52 作者: 小木槌 時(shí)間: 2025-3-23 19:32
0930-0325 dition, I must extend my deepest thanks to Dr. Joseph Ackerman for his support during the time this manuscript was being prepared.978-0-387-96871-1978-1-4684-9399-3Series ISSN 0930-0325 Series E-ISSN 2197-7186 作者: 積極詞匯 時(shí)間: 2025-3-24 00:22 作者: Reservation 時(shí)間: 2025-3-24 04:48 作者: 地名表 時(shí)間: 2025-3-24 06:35
Introduction,be analyzed. These three steps are highly idealized, and no clear boundary exists between them. The problem of analyzing the data is one that should be 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. 作者: FIG 時(shí)間: 2025-3-24 13:18
Single Stationary Sinusoid Plus Noise,the model parameters which concerns us here. The time series .(t) we are considering is postulated to contain a single stationary harmonic signal .(t) plus noise .(t). The basic model is always: we have recorded a discrete data set . = {.., ???, ..}; sampled from .(t) at discrete times {.., ???, ..}作者: 租約 時(shí)間: 2025-3-24 18:15 作者: Aqueous-Humor 時(shí)間: 2025-3-24 19:19
Model Selection,e models. This is easily done using Bayes’ theorem (1.3) and repeated applications of the procedure (1.4) which led to the “Student t-distribution.” The first step in answering this question is to enumerate the possible models. Suppose we have a set of . possible models {.., ???, ..} with model func作者: Badger 時(shí)間: 2025-3-25 00:47
Spectral Estimation,im is to derive explicit Bayesian estimates of the power spectrum and other parameters when multiple nonstationary frequencies are present. We will do this by proceeding through several stages beginning with the simplest spectrum estimation problem. We do this because as was shown by Jaynes [12] whe作者: 得意人 時(shí)間: 2025-3-25 07:19 作者: champaign 時(shí)間: 2025-3-25 10:51 作者: Liberate 時(shí)間: 2025-3-25 12:27
Bayesian Spectrum Analysis and Parameter Estimation978-1-4684-9399-3Series ISSN 0930-0325 Series E-ISSN 2197-7186 作者: subordinate 時(shí)間: 2025-3-25 18:37
Springer Series in Applied BiologyOnce the models had been rewritten in terms of the orthonormal model functions, we were able to remove the nuisance parameters {.} and .. The integrals performed in removing the nuisance parameters were all Gaussian or gamma integrals; therefore, one can always compute the posterior moments of these parameters.作者: 手術(shù)刀 時(shí)間: 2025-3-25 21:20 作者: SHRIK 時(shí)間: 2025-3-26 03:52 作者: happiness 時(shí)間: 2025-3-26 05:15 作者: Perigee 時(shí)間: 2025-3-26 09:54
Applications,Perhaps the greatest test of any theory is not so much how it was derived, but how it works. Here we apply the theory as developed in the preceding chapters to a number of specific examples including: NMR signals, economic time series, and Wolf’s relative sunspot numbers. Also, we examine how multiple measurements affect the analysis.作者: 破裂 時(shí)間: 2025-3-26 14:57 作者: Trigger-Point 時(shí)間: 2025-3-26 20:36
Neuronal plasticity of the haptic systembe analyzed. These three steps are highly idealized, and no clear boundary exists between them. The problem of analyzing the data is one that should be 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. 作者: Asperity 時(shí)間: 2025-3-26 21:25
Soledad Ballesteros,Morton A. Hellerthe model parameters which concerns us here. The time series .(t) we are considering is postulated to contain a single stationary harmonic signal .(t) plus noise .(t). The basic model is always: we have recorded a discrete data set . = {.., ???, ..}; sampled from .(t) at discrete times {.., ???, ..}作者: 隨意 時(shí)間: 2025-3-27 01:42 作者: Halfhearted 時(shí)間: 2025-3-27 07:30 作者: generic 時(shí)間: 2025-3-27 10:39
Human Health Risk from Stormwater Pollution,im is to derive explicit Bayesian estimates of the power spectrum and other parameters when multiple nonstationary frequencies are present. We will do this by proceeding through several stages beginning with the simplest spectrum estimation problem. We do this because as was shown by Jaynes [12] whe作者: WAG 時(shí)間: 2025-3-27 17:26 作者: octogenarian 時(shí)間: 2025-3-27 19:02
Conference proceedings 1978ische und psychiatrische Themen in einem Band vor- legen, so ist das nicht programmatisch zu verstehen, sondern pragmatisch: Das Buch wendet sich vor allem an ?rzte, die in der Neurologie und Psychiatrie ausgebildet werden oder t?tig sind. Wer in der Weiterbildung steht oder in der nerven?rztlichen 作者: 顧客 時(shí)間: 2025-3-28 00:12 作者: 身體萌芽 時(shí)間: 2025-3-28 04:14 作者: ovation 時(shí)間: 2025-3-28 06:26
Einleitung: Ziel und Gegenstand der Arbeit,k- und Versicherungswirtschaft auch die Tendenz, da? vor allem gro?e Unternehmen des Produktions- und Handelssektors (im weiteren als “Nichtbankunternehmen”. bezeichnet) bzw. Konzerne, deren Kerngesch?ft in diesen Bereichen angesiedelt ist, bei der Durchführung finanzieller Transaktionen auf die Ina
