搜索资源列表
CAViaR
- 条件分位自回归风险价值模型,动态分位性检验,消息冲击曲线,回归分位数方程的matlab代码和计算数据-CAViaR:Conditional Autoregressive Value at Risk by Regression Quantiles
matlabsar
- 空间自回归模型MATLAB编好的程序,自己的数据,替换下就行-Spatial autoregression model MATLAB programmed procedures, its own data, replace on the line
CARMA_GI
- 受控自回归滑动平均模型的梯度迭代算法,经过多次迭代计算之后,能够有效的逼近真实值-Controlled autoregressive moving average model of gradient iterative algorithm, after several iterations, can effectively approach the true value
EKF
- 扩展卡尔曼滤波器 卡尔曼滤波 卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中,估计动态系统的状态。-Extended Kalman Filter(EKF)
Matlab
- 地理数据处理代码,因子分析,自回归分析,等详细代码-Geographic data processing code, factor analysis, autoregression analysis, code and other details
ARIMA
- ARIMA模型全称为差分自回归移动平均模型(Autoregressive Integrated Moving Average Model,简记ARIMA),-ARIMA is。。。。。
zihuigui
- 时间序列自回归分析的matlab代码,根据之前的数据来预测后面数据的变化趋势。-Autoregressive time series analysis of matlab code, to predict the variation tendency of the back data according to the data before.
arma
- 信号处理,利用滑动平均自回归技术处理平稳信号-ARMA
kalman-tracking
- 基于卡尔曼滤波的目标轨迹跟踪预测 最优化自回归数据处理算法-Kalman filter based tracking target trajectory optimization autoregression forecasting data processing algorithms
AR_with_remove
- 时间序列分析,AR模型,用于流数据预测与滤波 输入参数:y为原始数据矩阵,p为AR模型的阶数,la为自回归模型的遗忘系数 输出参数:预测值,置信区间,离群点等-Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting c
sar_panel_FE
- 本函数用于估计固定效应面板空间自回归模型-computes spatial lag model estimates for spatial panels
sar_panel_RE
- 本函数用于估计随机效应面板空间自回归模型- computes spatial lag model estimates for spatial panels
arModel_shm
- 自回归模型的阶数确定:包括基于残差、基于AIC和基于BIC这三种确定方法;以及自回归模型参数估计算法。-Since the order of the regression model to determine: including those based on residuals, AIC and BIC determine which method is based on three and self-regression model parameter estimation algorit
Threshold-Autoregressive-Model
- MATLAB-门限协整自回归模型,操作简单,使用方便-Threshold Autoregressive Model
AR_model
- 自回归模型得到的谱与yulear法、burg法、协方差法、改进协方差法等方法得到的谱进行对比 -Autoregression model spectra obtained with yulear method, burg method, covariance method, modified covariance method and other methods to compare the obtained spectrum
ar_model
- AR自回归模型,观察分析因子的滞后情况,拟合情况-AR MODEL
tvpvar_m
- Time-varying parameter VAR 时变参数向量自回归的MATLAB实现-Time-varying parameter VAR
TP_LPC
- 线性预测(LPC)语音信号编码与解码(包括轻音与浊音的产生,自回归过程等)-Linear prediction (LPC) speech signal coding and decoding (including the generation of light tone and dullness, autoregressive process, etc.)
KLMAN
- 简单来说,卡尔曼滤波器是一个“optimal recursive data processing algorithm(最优化自回归数据处理算法)”。对于解决很大部分的问题,他是最优,效率最高甚至是最有用的。他的广泛应用已经超过30年,包括机器人导航,控制,传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理,例如头脸识别,图像分割,图像边缘检测等等。-In simple terms, the Kalman filter is an optimal recurs
kalman
- 卡尔曼滤波器是一个“optimal recursive data processing algorithm(最优化自回归数据处理算法)”。-optimal recursive data processing algorithm