multi_gp_cholesky_log.hpp
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#ifndef STAN_MATH_PRIM_MAT_PROB_MULTI_GP_CHOLESKY_LOG_HPP
#define STAN_MATH_PRIM_MAT_PROB_MULTI_GP_CHOLESKY_LOG_HPP
#include <stan/math/prim/scal/err/check_size_match.hpp>
#include <stan/math/prim/scal/err/check_finite.hpp>
#include <stan/math/prim/scal/err/check_positive.hpp>
#include <stan/math/prim/scal/fun/constants.hpp>
#include <stan/math/prim/scal/meta/include_summand.hpp>
#include <stan/math/prim/mat/fun/dot_self.hpp>
#include <stan/math/prim/mat/fun/log.hpp>
#include <stan/math/prim/mat/fun/mdivide_left_tri_low.hpp>
#include <stan/math/prim/mat/fun/multiply.hpp>
#include <stan/math/prim/mat/fun/row.hpp>
#include <stan/math/prim/mat/fun/sum.hpp>
namespace stan {
namespace math {
template <bool propto,
typename T_y, typename T_covar, typename T_w>
typename boost::math::tools::promote_args<T_y, T_covar, T_w>::type
multi_gp_cholesky_log(const Eigen::Matrix
<T_y, Eigen::Dynamic, Eigen::Dynamic>& y,
const Eigen::Matrix
<T_covar, Eigen::Dynamic, Eigen::Dynamic>& L,
const Eigen::Matrix<T_w, Eigen::Dynamic, 1>& w) {
static const char* function("multi_gp_cholesky_log");
typedef
typename boost::math::tools::promote_args<T_y, T_covar, T_w>::type T_lp;
T_lp lp(0.0);
check_size_match(function,
"Size of random variable (rows y)", y.rows(),
"Size of kernel scales (w)", w.size());
check_size_match(function,
"Size of random variable", y.cols(),
"rows of covariance parameter", L.rows());
check_finite(function, "Kernel scales", w);
check_positive(function, "Kernel scales", w);
check_finite(function, "Random variable", y);
if (y.rows() == 0)
return lp;
if (include_summand<propto>::value) {
lp += NEG_LOG_SQRT_TWO_PI * y.rows() * y.cols();
}
if (include_summand<propto, T_covar>::value) {
lp -= L.diagonal().array().log().sum() * y.rows();
}
if (include_summand<propto, T_w>::value) {
lp += 0.5 * y.cols() * sum(log(w));
}
if (include_summand<propto, T_y, T_w, T_covar>::value) {
T_lp sum_lp_vec(0.0);
for (int i = 0; i < y.rows(); i++) {
Eigen::Matrix<T_y, Eigen::Dynamic, 1> y_row(y.row(i));
Eigen::Matrix<typename boost::math::tools::promote_args
<T_y, T_covar>::type,
Eigen::Dynamic, 1>
half(mdivide_left_tri_low(L, y_row));
sum_lp_vec += w(i) * dot_self(half);
}
lp -= 0.5*sum_lp_vec;
}
return lp;
}
template <typename T_y, typename T_covar, typename T_w>
inline
typename boost::math::tools::promote_args<T_y, T_covar, T_w>::type
multi_gp_cholesky_log(const Eigen::Matrix
<T_y, Eigen::Dynamic, Eigen::Dynamic>& y,
const Eigen::Matrix
<T_covar, Eigen::Dynamic, Eigen::Dynamic>& L,
const Eigen::Matrix<T_w, Eigen::Dynamic, 1>& w) {
return multi_gp_cholesky_log<false>(y, L, w);
}
}
}
#endif
stan::math::sum
fvar< T > sum(const std::vector< fvar< T > > &m)
Return the sum of the entries of the specified standard vector.
Definition: sum.hpp:20
multiply.hpp
stan::math::check_finite
void check_finite(const char *function, const char *name, const T_y &y)
Check if y is finite.
Definition: check_finite.hpp:57
check_size_match.hpp
check_positive.hpp
stan
Definition: log_sum_exp.hpp:8
stan::math::log
fvar< T > log(const fvar< T > &x)
Definition: log.hpp:14
stan::math::check_size_match
void check_size_match(const char *function, const char *name_i, T_size1 i, const char *name_j, T_size2 j)
Check if the provided sizes match.
Definition: check_size_match.hpp:29
stan::math::dot_self
fvar< T > dot_self(const Eigen::Matrix< fvar< T >, R, C > &v)
Definition: dot_self.hpp:16
stan::math::include_summand
Template metaprogram to calculate whether a summand needs to be included in a proportional (log) prob...
Definition: include_summand.hpp:35
log.hpp
include_summand.hpp
row.hpp
stan::math::NEG_LOG_SQRT_TWO_PI
const double NEG_LOG_SQRT_TWO_PI
Definition: constants.hpp:181
constants.hpp
check_finite.hpp
stan::math::mdivide_left_tri_low
Eigen::Matrix< fvar< T >, R1, C1 > mdivide_left_tri_low(const Eigen::Matrix< fvar< T >, R1, C1 > &A, const Eigen::Matrix< fvar< T >, R2, C2 > &b)
Definition: mdivide_left_tri_low.hpp:22
sum.hpp
stan::math::check_positive
void check_positive(const char *function, const char *name, const T_y &y)
Check if y is positive.
Definition: check_positive.hpp:63
dot_self.hpp
mdivide_left_tri_low.hpp
stan::math::multi_gp_cholesky_log
boost::math::tools::promote_args< T_y, T_covar, T_w >::type multi_gp_cholesky_log(const Eigen::Matrix< T_y, Eigen::Dynamic, Eigen::Dynamic > &y, const Eigen::Matrix< T_covar, Eigen::Dynamic, Eigen::Dynamic > &L, const Eigen::Matrix< T_w, Eigen::Dynamic, 1 > &w)
The log of a multivariate Gaussian Process for the given y, w, and a Cholesky factor L of the kernel ...
Definition: multi_gp_cholesky_log.hpp:41

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