搜索资源列表
matlab-mle
- 主要是介绍极大似然估计并用matlab实现极大似然估计-Is to introduce the maximum likelihood estimation and use matlab to achieve maximum likelihood estimation
RSC
- 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the trai
mle
- This program is about ML detection.
WSN_sim
- Wireless sensor networks RSSI evaluation
KALMAN_2
- source code for MLE estimation .m file
mle
- maximum likelihood estimation
mds-map
- 经典的无线传感网定位算法，MDS-MAP及其改进算法，附有详细说明-location algorithm in wireless network,mds-map,an improve edition
loglikW.m
- matlab code fitting weibull distributions MLE
loglik.m
- matlab code log MLE fitting
mix_maxlk.m
- matlab code min-max MLE
loglikEV.m
- matlab code log MLE extreme values
MLEcode
- 最大似然估计MLE的matlab源码，统计学中常用的参数估计算法。-MLE maximum likelihood estimation matlab source code, commonly used in statistical parameter estimation algorithm
ClosedFormMLEMatlab
- Closed Form MLE Matlab
MLE
- 统计信号处理工程中广义最大似然比检验的MATLAB仿真-Statistical signal processing engineering generalized likelihood ratio test MATLAB simulation
mle
- 给定数据和相应的概率密度函数、用matlab求解其相应的极大似然估计-Given data and the corresponding probability density function using matlab to solve the corresponding maximum likelihood estimation
ppnew
- 极大似然估计是一种很有用的办法，可以用MATLAB来实现，事实上，极大似然与最小二乘估计结果是相同的-MLE is a very useful way, you can use MATLAB to achieve, in fact, maximum likelihood and least squares estimation results are the same
moshishibie
- 贝叶斯分类估计和最大似然估计的matlab编程-it is used to make the bayesis guji and the mle.it is very convenient for homework
Maximum-Likelihood-Estimation
- 用MATLAB编写代码,在经济和金融中法对连续时间过程实现了封闭的最大似然估计方法-The code, written in MATLAB, implements the closed-form maximum-likelihood estimation method for continuous-time processes in economics and finance. First, the code maximizes the log-likelihood function and d
copula_functions
- 利用极大似然估计估计出copula函数参数后，求解常见的copula函数的对数似然值。(After estimating the parameters of the copula function by using the MLE, the log likelihood values of the common Copula Functions are solved.)
MLE
- 用matlab实现基于正态分布的极大似然估计(Realization of maximum likelihood estimation based on normal distribution)