adam | ADAM stochastic process update |
distance_near_chunk_cpp | Calculate thresheld pairwise distance for a row using loops... |
distance_near_loop_cpp | Calculate thresheld pairwise distance for a row using loops... |
distance_near_row_cpp | Calculate thresheld pairwise distance for a row |
distance_near_with_ddist_cpp | Calculate thresheld pairwise distance |
dwendland_basis | Title |
ess | Code for the elliptical slice sampler |
eval_basis | Evaluate the MRA basis |
fit_nonstationary_MRA | Title |
fit_sgd | Title |
gradient_fun | Calculate the Gradient for Regression |
gradient_fun_mini | Calculate the Gradient for Regression using minibatch |
gradient_fun_penalty | Calculate the Gradient for Penalized Regression |
make_grid | Make the deep MRA grid |
make_Q | Generate CAR precision matrix |
predict_deep_MRA | Title |
regression_gradient_descent | Fit a regression gradient descent |
sgMRA | sgMRA |
sim_deep_mra | Simulate deep MRA |
sim_example_splines | Simulate a B-spline mixed model |
target_fun | Calculate the Target function for Regression |
update_tuning | this function updates the univariate Gaussian random walk... |
update_tuning_mat | this function updates a matrix block of univariate Gaussian... |
update_tuning_mv | this function updates a block Gaussian random walk proposal... |
update_tuning_mv_mat | this function updates multiple block Gaussian random walk... |
update_tuning_vec | this function updates a vector block of univariate Gaussian... |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.