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Description: 该文档较为详细的讲述了如何实现fortran语言与matlab接口的问题-the document in detail about how to achieve the FORTRAN language and Matlab interface issues
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Size: 457728 |
Author: fsc03 |
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Description: 基于MCMC技术的社会网络搜索.pdf，非常值得一看的文章。-MCMC-based social networking search technology. Pdf, is a must-see article.
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Size: 607232 |
Author: jzw |
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Description: 北大于江生教授有关蒙特卡洛方法和马尔科夫链的两个PPT（PDF格式）：An Introduction to MCMC for Machine Learning、Monte Carlo统计方法。共396页-Peking University Professor Yu Jiangsheng on Markov chain Monte Carlo method and the two PPT (PDF format): An Introduction to MCMC for Machine Learning, Monte Carlo statistical methods. A total of 396
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Size: 2371584 |
Author: dengyue |
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Description: “Applied Econometrics using MATLAB”配套的计量经济Matlab包-MATLAB code for:
1. least-squares, simultaneous systems (2SLS,3SLS, SUR)
2. limited dependent variable (logit, probit, tobit) and Bayesian variants
3. time-series (VAR, BVAR, ECM) estimation and accompanying forecasting functions
4. ridge, Theil-goldberger, switching regimes, robust regression
5. regression diagnostics, e.g. Belsley, Kuh Welsch, Cook-Weisberg
6. cointegration testing
7. statistical distributions (CDF, PDF and random deviate generation)
8. Bayesian Gibbs sampling estimation and MCMC convergence diagnostics
9. maximum likelihood and Bayesian spatial econometrics functions
10. lots of other stuff, over 350 functions
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Size: 6075392 |
Author: huangjing |
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Description: matlab 实现的MCMC算法
马尔科夫链蒙特卡洛模拟的matlab源代码-MCMC
MCMC Markov Chain Monte Carlo Tools
Copyright (c) 1998, Harvard University. Full copyright in the file Copyright
There are three parts to this library of routines.
1.*[rnd,pdf,lpr].m- distribution function tools to complement Matlab s
2. mcmc*.m- routines to calculate and display summaries of MCMC output
3. other- other useful routines
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Size: 15360 |
Author: 蔚蓝色 |
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Description: Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper Data augmentation for support vector machines http://ba.stat.cmu.edu/journal/2011/vol06/issue01/polson.pdf-This is a Matlab implementation of the fancy idea by Polson & Scott that reformulates the traditional binary linear SVM problem into a MAP (Maximum a Posteriori) estimation in a probabilistic generative model, and by use of the technique of data augmentation, makes it possible to do very easy and fast Gibbs sampling for the solution.
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Size: 7168 |
Author: saisai |
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Description: 适用于空间计量的各种模型，包括SVAR SEM SMD 等，以及各种检验，如LM Walds等-least-squares, simultaneous systems (2SLS,3SLS, SUR)
limited dependent variable (logit, probit, tobit) and Bayesian variants
time-series (VAR, BVAR, ECM) estimation and accompanying forecasting functions
ridge, Theil-goldberger, switching regimes, robust regression
regression diagnostics, e.g. Belsley, Kuh Welsch, Cook-Weisberg
cointegration testing
statistical distributions (CDF, PDF and random deviate generation)
Bayesian Gibbs sampling estimation and MCMC convergence diagnostics
maximum likelihood and Bayesian spatial econometrics functions
lots of other stuff, over 350 functions
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Size: 6194176 |
Author: 田田 |
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