搜索资源列表
sbgcop_0.95.tar
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric i
sbgcop_0.95
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric i
dineof.tar
- DINEOF重构数据矩阵缺失点的值-Reconstruction of missing data matrix DINEOF point value ~ ~ ~
AutomaticSpectra
- This toolbox is Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, Vector Autoregressive modeling and Detection. It requires ARMASA toolbox. This toolbox can be downloaded from the Matlab Central file exch
ARMAsel_mis_irreg
- Autoregressive model for missing data
divergence-w
- 利用散度法计算垂直速度，主要是缺测值的处理-Calculated using the vertical velocity dispersion, mainly dealing with missing data values
hgfrz
- This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
add-missing-data
- 这是一个Matlab程序，用牛顿插值法，补充缺失的数据，从而保证了数据的完整性。-This is a Matlab program, using Newton s interpolation method, add missing data, thus ensuring data integrity.
shapletsurf
- Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapel
BPCAfufil
- 专门处理丢失数据，利用贝叶斯网络，效果相当不错-Deal specifically with missing data, the use of Bayesian network, the effect is quite good
GMM
- 通过应用matlab实现高斯算法，用EM估计GMM的数据参数，并把运算时其遗漏数据补全-Matlab achieved through the application of Gauss algorithm estimates GMM data parameters EM, and the missing data when computing its complement
capm-daima
- CAPM代码，资本资产定价模型在Matlab中的实际应用。-Capital Asset Pricing Model with Missing Data
mult_interp1
- 对excel中出现的多组缺失且混乱的数据做插值，节省excel手工调整、分组插值的时间，提供效率，参数可以根据用户需要自行调整。-To excel in the multiple sets of missing and disorder data interpolation, save excel manual adjustment, grouping interpolation of time, provide efficiency.
preprocesszscore
- code for data preproccess in 3 steps :Swap lines with missing value NaN, zscore Normalization, Standardization proce-code for data preproccess in 3 steps :Swap lines with missing value NaN, zscore Normalization, Standardization process
gibbs
- 利用matlab进行GIBBS抽样分析来解决数据缺失的现象-GIBBS sampling analysis to solve the missing data using the MATLAB phenomenon
cmps
- 多重比较LSD法实现方差分析的matlab代码，调用格式为输入A矩阵，每一列是一个因素水平，当重复数不相等时，缺失数据用nan补齐。输出参数为各均值的比较表。-Multiple variance analysis method to achieve more LSD matlab code, call format for the input A matrix, each column is a factor level, when the number of repetitions is no
fill_gap
- Filling in the missing values or 3d data interpolation
kaerman tracking_Rocket sled
- the matlab code for kaerman tracking_Rocket sled contains six files, concluding data.txt, kaerman.m, sanciyangtiao.m, xianshuju.m, miss_1.m, miss_3.m. data.txt is the data of Rocket sled movement. kaerman.m is to test the Kalman tracking algorithm.
DINEOF程序
- 此方法可以用以重建缺测的资料（基于EOF方法） DINEOF is an EOF-based method to fill in missing data from geophysical fields, such as clouds in sea surface temperature.
TensorCompletion
- 张量补全很好的学习代码，从Trans大神主页找到的~(Tensor Completion for Estimating Missing Values in Visual Data)