Man pages for fboehm/xu2015
Gibbs sampling for posterior inference when using determinantal point process (DPP) prior

calc_allocation_probCalculate the allocation probability
calc_CCalculate the C matrix for DPP
calc_detJCalculate determinant of Jacobian
calc_kappa_ratioCalculate kappa ratio
calc_lik_ratioCalculate likelihood ratio
calc_little_clittle c, when we're using squared exponential kernel
calc_little_qlittle q, for univariate y
calc_mu_ratioCalculate mu ratio
calc_rhoCalculate rho(omega_current, omega_proposal)
calc_rho_oldCalculate rho, the acceptance probability for the update K...
calc_w_ratioCalculate w ratio
define_big_kappaDefine a kappa vector
define_big_muDefine a mu vector
define_big_sDefine a s vector for the model with a longer mu vector
define_big_wDefine a w weight vector that is one longer than the inputted...
define_extra_parametersDefine three parameters, alpha, beta and r for...
define_small_kappaDefine a small kappa vector
define_small_muDefine a small mu vector
define_small_sDefine a s vector for the smaller model, ie the model with...
define_small_wDefine a smaller (by one) weight vector
order_parameter_vectorOrder parameter vector (mu, sigma, w) according to entries in...
update_KUpdate $K$ in Gibbs sampling
update_muUpdate $mu$ in Gibbs sampling
update_sUpdate s parameter in Gibbs sampling
update_sigmaUpdate sigma in Gibbs sampling
update_tauUpdate tau in Gibbs sampling
update_tau_gammaUpdate tau in Gibbs sampling
update_thetaUpdate $theta$ in Gibbs sampling
update_theta_gammaUpdate $theta$ in Gibbs sampling
update_wUpdate w in Gibbs sampling
fboehm/xu2015 documentation built on May 16, 2019, noon