找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo; Luc Bauwens Book 1984 Springer-Verlag

[復(fù)制鏈接]
查看: 48832|回復(fù): 40
樓主
發(fā)表于 2025-3-21 16:49:04 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo
影響因子2023Luc Bauwens
視頻videohttp://file.papertrans.cn/182/181843/181843.mp4
學(xué)科分類Lecture Notes in Economics and Mathematical Systems
圖書封面Titlebook: Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo;  Luc Bauwens Book 1984 Springer-Verlag
影響因子In their review of the "Bayesian analysis of simultaneous equation systems", Dr~ze and Richard (1983) - hereafter DR - express the following viewpoint about the present state of development of the Bayesian full information analysis of such sys- tems i) the method allows "a flexible specification of the prior density, including well defined noninformative prior measures"; ii) it yields "exact finite sample posterior and predictive densities". However, they call for further developments so that these densities can be eval- uated through ‘numerical methods, using an integrated software packa~e. To that end, they recommend the use of a Monte Carlo technique, since van Dijk and Kloek (1980) have demonstrated that "the integrations can be done and how they are done". In this monograph, we explain how we contribute to achieve the developments suggested by Dr~ze and Richard. A basic idea is to use known properties of the porterior density of the param- eters of the structural form to design the importance functions, i. e. approximations of the posterior density, that are needed for organizing the integrations.
Pindex Book 1984
The information of publication is updating

書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo影響因子(影響力)




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo影響因子(影響力)學(xué)科排名




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo網(wǎng)絡(luò)公開度




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo被引頻次




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo被引頻次學(xué)科排名




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo年度引用




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo年度引用學(xué)科排名




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo讀者反饋




書目名稱Bayesian Full Information Analysis of Simultaneous Equation Models Using Integration by Monte Carlo讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:55:06 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:33:36 | 只看該作者
Spoken Language Component of the MASK Kiosk,ions and affect the exponential argument of (1.7) whose dependence on 6 is made clear. The first one is named: AI(Σ) (for analytical integration of Σ), and the second one: AI(γ) (for analytical integration of γ, the subvector of δ regrouping the coefficients of the predetermined variables in the equ
地板
發(fā)表于 2025-3-22 07:57:52 | 只看該作者
5#
發(fā)表于 2025-3-22 12:01:04 | 只看該作者
Bayesian Inference: The Extended Natural-Conjugate Approach,ions and affect the exponential argument of (1.7) whose dependence on 6 is made clear. The first one is named: AI(Σ) (for analytical integration of Σ), and the second one: AI(γ) (for analytical integration of γ, the subvector of δ regrouping the coefficients of the predetermined variables in the equations (1.3)).
6#
發(fā)表于 2025-3-22 15:30:43 | 只看該作者
7#
發(fā)表于 2025-3-22 18:50:55 | 只看該作者
8#
發(fā)表于 2025-3-22 22:15:26 | 只看該作者
Understanding Industry in Transition,As indicated at the end of section II.5, the choice of the functional form and of the parameters of an importance function f(θ) for a density p(θ) should be guided by the requirement that f be a good approximation of p. The following criteria are in our opinion necessary but by no means sufficient conditions to attain this goal.
9#
發(fā)表于 2025-3-23 05:08:51 | 只看該作者
Karlheinz Sonntag,Michael FreibothWe have used the importance functions proposed in section III.2 with 5 models covering a variety of situations, as summarized in the following table:
10#
發(fā)表于 2025-3-23 07:07:43 | 只看該作者
Understanding Changing Competence Demands,We have considered the case of the (truncated) extended natural-conjugate prior. Its drawbacks are well known — see DR and Richard (1973). In particular, one must elicit an informative prior on Σ, a difficult task; in addition, the prior information on Σ has a strong influence on the results on δ, and especially on β.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 22:02
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
民县| 新乡市| 确山县| 江陵县| 惠州市| 河南省| 东方市| 德清县| 义乌市| 鄂托克前旗| 玉山县| 来凤县| 长寿区| 双城市| 博兴县| 辽源市| 玉山县| 张家口市| 五寨县| 蓬溪县| 新泰市| 苗栗市| 仪陇县| 潞城市| 古蔺县| 灌阳县| 阿鲁科尔沁旗| 淄博市| 台东市| 青岛市| 工布江达县| 定结县| 罗甸县| 南投市| 霍山县| 个旧市| 苏尼特右旗| 中西区| 晋州市| 新巴尔虎右旗| 平阴县|