Stan Math Library
5.0.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/constants.hpp>
#include <stan/math/prim/fun/dot_self.hpp>
#include <stan/math/prim/fun/log.hpp>
#include <stan/math/prim/fun/mdivide_left_tri_low.hpp>
#include <stan/math/prim/fun/sum.hpp>
#include <stan/math/prim/fun/to_ref.hpp>
Go to the source code of this file.
Namespaces | |
namespace | stan |
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
namespace | stan::math |
Matrices and templated mathematical functions. | |
Functions | |
template<bool propto, typename T_y , typename T_covar , typename T_w , require_all_eigen_matrix_dynamic_t< T_y, T_covar > * = nullptr, require_eigen_col_vector_t< T_w > * = nullptr> | |
return_type_t< T_y, T_covar, T_w > | stan::math::multi_gp_cholesky_lpdf (const T_y &y, const T_covar &L, const T_w &w) |
The log of a multivariate Gaussian Process for the given y, w, and a Cholesky factor L of the kernel matrix Sigma. | |
template<typename T_y , typename T_covar , typename T_w > | |
return_type_t< T_y, T_covar, T_w > | stan::math::multi_gp_cholesky_lpdf (const T_y &y, const T_covar &L, const T_w &w) |