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"微动"的最佳翻译为"fretting"，相关的英文翻译自动加入检索 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. 1. Distribution Function Tools. http://www.mathworks.com/matlabcentral/fileexchange/198 I�ve created a wrapper class which makes the task child'splay, so you can spend more time working on your project and less time fretting about how to make use of the registry. To make use of the CRegistry class within your project, simply employ the preprocessor to include " http://www.codeproject.com/KB/system/CRegistry.aspx You can find the description at:. http://www.advancedmcode.org/surfacerecostructionfromscatteredpointscloudtheballfretting.html. MATLAB 7.8 (R2009a) 3d, aerospace, automotive, biotech, communications, crust, data export, data import, delaunay, finance, graphics, http://www.mathworks.com/matlabcentral/fileexchange/24619 标准粒子滤波MATLAB程序Particle filters, also known as sequential Monte Carlo methods (SMC), are sophisticated model estimation techniques based on simulation. They are usually used to estimate http://www.codesoso.com/code/particle_filtering.aspx FAQ. NOTE: dnAnalytics is merging with Math.NET Iridium into a new project Math.NET Numerics  http://mathnetnumerics.codeplex.com/. The 2009.08 release will be the last release of dnAnalytics. dnAnalytics is an open source numerical library for the .NET Framework and Mono. The library is http://dnanalytics.codeplex.com The Automated Parameter Estimation and Model Selection Toolkit is a fast, parallelized MCMC engine written in C for Bayesian inference (parameter estimation and model selection). .fast MCMC engine. evaluates marginal distributions for parameter estimation. provides model selection. . http://sourceforge.net/projects/apemost/ HYDRA is an opensource, platformneutral library for performing Markov Chain Monte Carlo. It implements the logic of standard MCMC samplers within a framework designed to be easy to use and to extend while allowing integration with other software tools .20021109 . http://sourceforge.net/projects/hydramcmc/ Introduction. Over a decade ago, my colleagues and I wrote two books on using different tests for examining the assumptions of time series analysis in both the univariate and multivariate contexts. Back then, the programs to conduct these tests were a mixture of Basic, C, and the use of some http://www.codeproject.com/KB/cs/RtoCSharp.aspx The goal of this project is to develop a C++ environment that is suitable for constructing Bayesian MCMC sampling algorithms. We intend to support CUDA 2.0, Larrabee, and FireGL (as time permits). . http://sourceforge.net/projects/simplybayes/ RJMCMC algorithm for sinusoids estimation. A GUI demonstrating how MCMC works for estimating sinusoids parameters (amplitude, frequency, number of compounds) in frequency, number of compounds) in a corrupted signal. MATLAB 7.5 (R2007b) bayesian method, mcmc, reverse jump(2), spectral analysis . http://www.mathworks.com/matlabcentral/fileexchange/18049 Do Bayesian Model Averaging (BMA) via a hidden instance of R (Windows only). Bayesian Model Averaging for linear models under Zellner's g prior. Options include: fixed (BRIC, UIP, .) and flexible g priors (Empirical Bayes, hyperg), 5 kinds of model prior concepts, and model sampling via model http://www.mathworks.com/matlabcentral/fileexchange/29326 A multicanonical Monte Carlo (MMC) scheme developed to approximate the tails of growth factor probab. The script gf_mmc_driver.m runs multiple independent instancesm from command line. Requires functions mcmc1 and mcmc2 provided in gf_mmc.zip file. MATLAB 7.2 (R2006a) loop, mmc(2), monte carlo, http://www.mathworks.com/matlabcentral/fileexchange/12552 MCMC algorithm of diffusion model fitting in the Camino software package .Currently works only with 849 version of the Camino. Camino homepage: http://www.cs.ucl.ac.uk/research/medic/camino/. . http://sourceforge.net/projects/mcmccamino/ BigFoot: Bayesian alignment and phylogenetic footprinting with MCMC. Annotates the locations of conserved elements in multiple sequence while correcting for alignment uncertainty and error. .20100727 . http://sourceforge.net/projects/bigfoot/ Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of the University of Victoria. .20071024 . http://sourceforge.net/projects/hrothgar/ Acknowledgements goes to Dr. Dimitris Karlis with whom I had some mathematical journeys from time to time. MATLAB 7 (R14) analysis, finance, mcmc, modeling, multivariate normal inverse gaussian . http://www.mathworks.com/matlabcentral/fileexchange/12400 Calibrated the Heston Model to market Option prices . This code calibrates the heston model to any dataset of the form. of the marketdata.txt file. Provides analytical heston and MCMC heston pricing of Option. To see an example, run the hestoncalibrationexample.m code. MATLAB 7.8 (R2009a) http://www.mathworks.com/matlabcentral/fileexchange/29446 Save workspace variables to an R data file. saveR('FILENAME') saves all workspace variables to the "Rfile" named FILENAME. SAVER('FILENAME', 'X', 'Y', 'Z') saves X, Y, and Z. saveR can handle scalars,net/projects/mcmcjags), for instance. MATLAB 7.9 (2009b) convert, jags, r cran, save . http://www.mathworks.com/matlabcentral/fileexchange/28370 m. NB. You may need to recompile mexfiles. Please open run "mexme_mks" to compile on your own platform. MATLAB 7.5 (R2007b) crossentropy, mcmc, multiknapsack, optimization(2), stochastic optimization(2) . http://www.mathworks.com/matlabcentral/fileexchange/20436 Simulation of positive Gaussian variables. This function generate random variables distributed according to a truncated normal distribution (or, by a translation, to a normal distribution with positive support). This kind of problem is especially interesting for generating variables with MCMC http://www.mathworks.com/matlabcentral/fileexchange/27430 