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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

mcmc

mcmc
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.

Registry Wrapper Class (CRegistry)

I�ve created a wrapper class which makes the task child's-play, 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 "
Multi-Knapsack solver

Multi-Knapsack solver

SURFACE RECOSTRUCTION FROM SCATTERED POINTS CLOUD PART3

SURFACE RECOSTRUCTION FROM SCATTERED POINTS CLOUD PART3
You can find the description at:. http://www.advancedmcode.org/surface-recostruction-from-scattered-points-cloud-the-ball-fretting.html. MATLAB 7.8 (R2009a) 3d, aerospace, automotive, biotech, communications, crust, data export, data import, delaunay, finance, graphics,

粒子滤波程序 particle filtering-山川依旧分享

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

dnAnalytics

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

APEMoST

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. .

HYDRA MCMC Library

HYDRA is an open-source, platform-neutral 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 .2002-11-09 .

The R Statistical Language and C#.NET: Foundations

The R Statistical Language and C#.NET: Foundations
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

Simply Bayes

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). .

RJ-MCMC algorithm for sinusoids parameter estimation

RJ-MCMC algorithm for sinusoids parameter estimation
RJ-MCMC 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 .

BMS toolbox for Matlab: Bayesian Model Averaging (BMA)

BMS toolbox for Matlab: Bayesian Model Averaging (BMA)
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, hyper-g), 5 kinds of model prior concepts, and model sampling via model

Multicanonical Monte Carlo scheme for finding rare growth factors

Multicanonical Monte Carlo scheme for finding rare growth factors
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,

MCMC algorithm for the Camino

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/. .

BigFoot

BigFoot: Bayesian alignment and phylogenetic footprinting with MCMC. Annotates the locations of conserved elements in multiple sequence while correcting for alignment uncertainty and error. .2010-07-27 .

Hrothgar Parallel LM/MCMC Minimizer

Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of the University of Victoria. .2007-10-24 .

Multivariate NIG fit

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 .

Heston Model Calibration and Simulation

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)

saveR

Save workspace variables to an R data file. saveR('FILENAME') saves all workspace variables to the "R-file" named FILENAME. SAVER('FILENAME', 'X', 'Y', 'Z') saves X, Y, and Z. saveR can handle scalars,net/projects/mcmc-jags), for instance. MATLAB 7.9 (2009b) convert, jags, r cran, save .

Multi-Knapsack solver

Multi-Knapsack solver
m. NB. You may need to recompile mex-files. Please open run "mexme_mks" to compile on your own platform. MATLAB 7.5 (R2007b) crossentropy, mcmc, multiknapsack, optimization(2), stochastic optimization(2) .

Normally and positive distributed pseudorandom numbers

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
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