搜索资源列表
Ggarch_liikea
- Garch模型的最大似然估计计方法,基于MATLAB程序。 -The Garch model the maximum likelihood estimator design methodology, based on the MATLAB program.
zuidasirangujimatlab
- matlab中最大似然估计的程序说明,里面包含程序,拷到matlab中可直接使用-matlab maximum likelihood estimation program descr iption, which contains the program, copying matlab can be used directly in
tutorial
- 应用matlab处理统计学问题,含蒙特卡洛算法以及最大似然估计-Statistical analysis and simulation using MATLAB,Monte Carlo simulation and Newton-Raphson method to obtain maximum likelihood estimators are covered.
MatFunC
- 本算法包括最大似然估计,最小二乘估计,基于EM算法的多种混合高斯分布估计,EM算法测试实例,绘制每种分布的plot函数。非常有参考价值!-The algorithm including maximum likelihood estimation, least squares estimation, based on the the many EM algorithm mixed Gaussian distribution is estimated, the EM algorithm test c
nbem.tar
- Naive bayes classifer的具体实现,使用多模态事件模型表示,提供EM算法用于半监督和无监督学习,最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised
Chirplets_zuidasiran
- 通过最大似然估计的线性调频分解,计算费舍尔信息矩阵,使用优化过程,计算一个似然函数的海赛矩阵等。-Through the maximum likelihood estimation of linear frequency modulation decomposition, calculate fisher information matrix, the use of optimization process, calculate a likelihood function of the hess
plfit
- 这个是用于拟合幂律分布的函数。函数使用最大似然估计方法估计幂律分布。另外给出了如何调用其函数的形式,更全面和更具指导性,经验证效果非常好。-This is used to fit power-law distribution function. The function uses the maximum likelihood estimation method to estimate the power-law distribution. Another form of how to call
plfit
- 这个是用于拟合幂律分布的函数。函数使用最大似然估计方法估计幂律分布。经验证效果非常好。-This is used to fit power-law distribution function. The function uses the maximum likelihood estimation method to estimate the power-law distribution. Proven very good.
em
- 在统计计算中,最大期望(EM)算法是在概率(probabilistic)模型中寻找参数最大似然估计或者最大后验估计的算法,其中概率模型依赖于无法观测的隐藏变量(Latent Variable)。最大期望经常用在机器学习和计算机视觉的数据聚类(Data Clustering)领域。 -In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimate
EM
- EM最大期望算法:算法是在概率模型中寻找参数最大似然估计或者最大后验估计的算法,其中概率模型依赖于无法观测的隐藏变量。最大期望经常用在机器学习和计算机视觉的数据聚类领域。-EM algorithm
e0001
- 基于Fisher information的优化阵列设计,使用穷举法和迭代法得到优化阵列,再基于最大似然估计研究其MSE、克拉美罗界等性能。-Fisher information based on the optimized array design, use brute-force methods and iterative methods optimize the array, and then based on the maximum likelihood estimation study
EM
- 该算法利用概率论中最大似然估计实现EM算法,通过对理论图像和统计图像的比较得出结果。-The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.
GSM_SIMULATION_SYSTEM
- GSM系统信道估计和均衡方法MATLAB程序,效果好,这是基于最大似然估计的均衡器,整个GSM系统的程序,有益于大家的学习资料-GSM system channel estimation and equalization in MATLAB program, good effect, this is the equalizer based on maximum likelihood estimation, the whole GSM system procedures, useful in ou
OFDM_xunhuanqianzhui_zuidashiranguji
- 基于Matalb的OFDM载波同步算法,实现基于循环前缀的最大似然估计算法仿真-Based on the OFDM carriers of Matalb synchronization algorithm, cyclic prefix based on the maximum likelihood estimation algorithm simulation
ML
- 高斯噪声关于频率的最大似然估计,对初学者有很大帮助-Gaussian noise on the frequency of maximum likelihood estimation
moshishibie1
- 利用男女身高体重利用贝叶斯算法,最大似然估计,最小风险估计等进行性别分类判决-The use of male and female height and weight using Bayesian algorithm, maximum likelihood estimation, minimum risk estimation for gender classification ruling
powerlaws_full_v0.0.10-2012-01-17
- 随机数发生器 此功能会产生连续的值(功法的文章中讨论的五个分布随机分布,指数,对数正态分布,拉伸指数,截止功法)。使用信息包含在文件类型的帮助randht在MATLAB提示符更多信息。 幂律分布拟合 这项功能同时实现的离散和连续的最大似然估计拟合幂律分布的数据,以及善良的合适的方法来估计缩放区域较低的截止。使用信息包含在文件类型的帮助plfit在MATLAB提示符更多信息。-This function is a random number generator will produce
di
- 最大似然估计的matlab程序,一个比较常用的数字信号处理程序.-Maximum likelihood estimation matlab procedures, a more commonly used digital signal processing.
sml
- 最大似然估计 以最快的速度实现参数估计准确率极高-Maximum likelihood estimation with the fastest speed to achieve a high accuracy rate parameter estimation
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