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    Stan Math Library
    5.1.0
    
   Automatic Differentiation 
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Definition at line 57 of file laplace_marginal_density.hpp.
#include <laplace_marginal_density.hpp>
 Inheritance diagram for stan::math::laplace_options< true >:Public Attributes | |
| Eigen::VectorXd | theta_0 {0} | 
| int | hessian_block_size {1} | 
| int | solver {1} | 
Which Newton solver to use: (B matrix in equation 1 of https://arxiv.org/pdf/2306.14976) (1) method using the cholesky decomposition of W (the negative Hessian of log likelihood) (2) method using the cholesky decomposition of K (the covariance matrix) (3) method using an LU decomposition (more general, but slower)   | |
| int | max_steps_line_search {0} | 
| double | tolerance {1e-6} | 
| int | max_num_steps {100} |