代码搜索:ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

代码结果 3,786
www.eeworm.com/read/449504/7502158

m switch_emd.m

% PURPOSE: Demo of switch_em % EM-estimation of switching regime regression % and prt,plt %--------------------------------------------------- % USAGE: switch_emd %-----------------------
www.eeworm.com/read/449504/7502164

m tvp_markovd.m

% PURPOSE: An example using tvp_markov(), % prt(), % plt(), % time-varying parameter model with Markov switching variances estimation %---------
www.eeworm.com/read/449504/7502848

m lndet_d.m

% PURPOSE: An example of using lndetfull, lndetmc, lndetint % to compute the log-determinant term % NOTE: these are usually % used inside the estimation functions
www.eeworm.com/read/449504/7502856

m lndet_d2.m

% PURPOSE: An example of using lndetfull, lndetmc, lndetint % to compute the log-determinant term % NOTE: these are usually % used inside the estimation functions
www.eeworm.com/read/440842/7680263

m thsls_d.m

% PURPOSE: An example using thsls(), % prt_eqs(), plt_eqs() % Three-stage least-squares estimation %-----------------------------------------
www.eeworm.com/read/492929/6414168

m thsls_d.m

% PURPOSE: An example using thsls(), % prt_eqs(), plt_eqs() % Three-stage least-squares estimation %-----------------------------------------
www.eeworm.com/read/492929/6414202

m switch_emd.m

% PURPOSE: Demo of switch_em % EM-estimation of switching regime regression % and prt,plt %--------------------------------------------------- % USAGE: switch_emd %-----------------------
www.eeworm.com/read/492929/6414208

m tvp_markovd.m

% PURPOSE: An example using tvp_markov(), % prt(), % plt(), % time-varying parameter model with Markov switching variances estimation %---------
www.eeworm.com/read/128468/14295398

m contents.m

% Minimax learning algorithm. % % mmdemo - Demonstration of the minimax learning algorithm. % mmln - Minimax learning algorithm for estimation of % normal distribut
www.eeworm.com/read/225852/14513473

m falldemo.m

% ====================== Falling body example =========================== % Details about the benchmark example can be found in the paper % "Suboptimal state estimation for continuous-time nonlinear