代码搜索:SiGe HBT

找到约 79 项符合「SiGe HBT」的源代码

代码结果 79
www.eeworm.com/read/449504/7502170

m ols_g.m

function results = ols_g(y,x,ndraw,nomit,prior,start) % PURPOSE: MCMC estimates for the Bayesian heteroscedastic linear model % y = X B + E, E = N(0,sige*V), % V = diag(v1,v2,...
www.eeworm.com/read/440842/7680299

m ols_g.m

function results = ols_g(y,x,ndraw,nomit,prior,start) % PURPOSE: MCMC estimates for the Bayesian heteroscedastic linear model % y = X B + E, E = N(0,sige*V), % V = diag(v1,v2,...
www.eeworm.com/read/492929/6414214

m ols_g.m

function results = ols_g(y,x,ndraw,nomit,prior,start) % PURPOSE: MCMC estimates for the Bayesian heteroscedastic linear model % y = X B + E, E = N(0,sige*V), % V = diag(v1,v2,...
www.eeworm.com/read/284782/8898743

m f2_sarpanel.m

function llike = f2_sarpanel(parm,y,x,W,detval,T) % PURPOSE: evaluates log-likelihood -- given ML estimates % spatial panel autoregressive model using sparse matrix algorithms % ------------------
www.eeworm.com/read/284782/8898780

m f2_sempanel.m

function llike = f2_sempanel(parm,y,x,W,detval,T) % PURPOSE: evaluates log-likelihood -- given ML parameters % spatial panel error model using sparse matrix algorithms % --------------------------
www.eeworm.com/read/382927/8990200

m f2_sarpanel.m

function llike = f2_sarpanel(parm,y,x,W,detval,T) % PURPOSE: evaluates log-likelihood -- given ML estimates % spatial panel autoregressive model using sparse matrix algorithms % ------------------
www.eeworm.com/read/382927/8990235

m f2_sempanel.m

function llike = f2_sempanel(parm,y,x,W,detval,T) % PURPOSE: evaluates log-likelihood -- given ML parameters % spatial panel error model using sparse matrix algorithms % --------------------------
www.eeworm.com/read/449504/7502120

m tobit_g.m

function results = tobit_g(y,x,ndraw,nomit,prior,start) % PURPOSE: MCMC sampler for Bayesian Tobit model % y = X B + E, E = N(0,sige*V), % V = diag(v1,v2,...vn), r/vi = ID chi
www.eeworm.com/read/449504/7502165

m ar_g.m

function results = ar_g(y,nlag,ndraw,nomit,prior,start) % PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model % imposing stability restrictions using Gibbs sampling % y
www.eeworm.com/read/449504/7502191

m tvp_zglike.m

function lik = tvp_zglike(parm,y,x,start,priorb0,priorv0) % PURPOSE: returns -log likelihood function for tvp model with Zellner's g-prior % y(t) = X(t)*B(t) + e(t), e(t) = N(0,sige^2) %