| BMSM | Bayesian Multi-scale Model for Smoothing Poisson sequence |
| bmsm_control_default | Default control list of BMSM |
| dwt.fn | Empirical Bayes wavelet smoothing for flashier |
| ebbp_beta_mixture | Empirical Bayes for estimating Binomial probability |
| ebnm_sgp | Sparse Gaussian process in EBNM syntax |
| ebpm_pois_sgp | Poisson Sparse Gaussian Process |
| ebps | empirical Bayes Poisson smoothing |
| ebps_general_control_default | Default parameters for ebps |
| ebps_init | init ebps |
| ebps_init_control_default | Default parameters for ebps initialization |
| ebps_smooth_control_default | Default parameters for ebps smoothing function |
| ebps_twostep | Apply ebps then run smash as a two-step procedure |
| GP | Define the empirical Bayes function |
| grad_kernel_param | Get derivative of log kernel parameters and mean |
| grad_post_mean | Gradient and hessian of eblo w.r.t post_mean |
| hello | Hello, World! |
| kernel | Define the squared exponential kernel |
| Maternkernel | Matern Kernel |
| neg_log_likelihood | Define the negative marginal log-likelihood |
| Pois_GP | Fit Poisson + Gaussian process |
| pois_reg_splitting | this function fits empirical Bayes Sparse Poisson regression |
| pois_sgp | Sparse Gaussian process for Poisson data via variational... |
| pois_sgp_elbo | calc elbo |
| pois_sgp_get_posterior | Obtain full posterior distribution |
| pois_sgp_matrix_helper | Helper function for matrix calculations |
| pois_sgp_update_post_mean | Function for optimizing posterior mean |
| pois_sgp_update_V | Function for updating posterior var |
| pois_sgp_update_variational_param | Master function for optimizing variational parameters... |
| pois_smooth_split | Smooth over-dispersed Poisson sequence via splitting method |
| RBFkernel | RBF Kernel |
| robust_smooth | empirical Bayes robust smoothing |
| sgp | Fit Sparse Gaussian Process via variational inference |
| smash_dwt | Empirical Bayes wavelet smoothing via DWT |
| smash_gen_pois | Smooth Poisson sequence, accounting for nugget effect |
| smash_two_step | A two step method for smoothing Poisson seq |
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