代码搜索：forecasting
找到约 94 项符合「forecasting」的源代码
代码结果 94
www.eeworm.com/read/255925/12046110
m ssaforeiter.m
function xf=SSAforeiter(x,dim,tau,k,fs,e)
%Syntax: xf=SSAforeiter(x,dim,tau,k,fs,e)
%________________________________________
%
% Iterated forecasting for SSA.
%
% xf is the forecasted time seri
www.eeworm.com/read/417673/10981083
des bj.des
----------------------------------------
"Box and Jenkins furnace data from:
G.E.P. Box and G.M. Jenkins
Time Series Analysis, Forecasting and Control
San Francisco, Holden Day, 1970, pp. 532-
www.eeworm.com/read/160391/5571211
m kjaerulff1.m
% Compare the speeds of various inference engines on the DBN in Kjaerulff
% "dHugin: A computational system for dynamic time-sliced {B}ayesian networks",
% Intl. J. Forecasting 11:89-111, 1995.
%
www.eeworm.com/read/291380/8422336
m ssaeye.m
function xf=SSAeye(x,dim,tau,k,fs,e)
%Syntax: xf=SSAeye(x,dim,tau,k,fs,e)
%___________________________________
%
% Iterated forecasting for SSA.
%
% xf is the forecasted time series values.
% x
www.eeworm.com/read/167879/9948734
m ssaeye.m
function xf=SSAeye(x,dim,tau,k,fs,e)
%Syntax: xf=SSAeye(x,dim,tau,k,fs,e)
%___________________________________
%
% Iterated forecasting for SSA.
%
% xf is the forecasted time series values.
% x
www.eeworm.com/read/466230/7041260
m ms_ar_for.m
% Function for forecasting in t+1 of an Autoregressive Markov Switching
% model estimated with MS_AR_Fit.m
%
% Input: Spec_Output - Specification output from estimation (check
% MS_AR_Fit.m)
www.eeworm.com/read/450295/7486052
m ms_ar_for.m
% Function for forecasting in t+1 of an Autoregressive Markov Switching
% model estimated with MS_AR_Fit.m
%
% Input: Spec_Output - Specification output from estimation (check
% MS_AR_Fit.m)
www.eeworm.com/read/140847/5779167
m kjaerulff1.m
% Compare the speeds of various inference engines on the DBN in Kjaerulff
% "dHugin: A computational system for dynamic time-sliced {B}ayesian networks",
% Intl. J. Forecasting 11:89-111, 1995.
%
% Th
www.eeworm.com/read/133943/5897351
m kjaerulff1.m
% Compare the speeds of various inference engines on the DBN in Kjaerulff
% "dHugin: A computational system for dynamic time-sliced {B}ayesian networks",
% Intl. J. Forecasting 11:89-111, 1995.
%
% Th
www.eeworm.com/read/263889/11337707
m ssaeye.m
function xf=SSAeye(x,dim,tau,k,fs,e)
%Syntax: xf=SSAeye(x,dim,tau,k,fs,e)
%___________________________________
%
% Iterated forecasting for SSA.
%
% xf is the forecasted time series values.
% x