| Stan Math Library 2.12.0 reverse mode automatic differentiation

- Main Page
- Modules
- Namespaces
- Classes
- Files

- File List
- File Members

wishart_log.hpp
Go to the documentation of this file.
1 #ifndef STAN_MATH_PRIM_MAT_PROB_WISHART_LOG_HPP
2 #define STAN_MATH_PRIM_MAT_PROB_WISHART_LOG_HPP
3
4 #include <stan/math/prim/scal/err/check_size_match.hpp>
5 #include <stan/math/prim/mat/err/check_ldlt_factor.hpp>
6 #include <stan/math/prim/mat/err/check_square.hpp>
7 #include <stan/math/prim/scal/err/check_greater.hpp>
8 #include <stan/math/prim/scal/fun/lmgamma.hpp>
9 #include <stan/math/prim/mat/fun/crossprod.hpp>
10 #include <stan/math/prim/mat/fun/columns_dot_product.hpp>
11 #include <stan/math/prim/mat/fun/trace.hpp>
12 #include <stan/math/prim/mat/fun/log_determinant_ldlt.hpp>
13 #include <stan/math/prim/mat/fun/mdivide_left_ldlt.hpp>
14 #include <stan/math/prim/mat/fun/dot_product.hpp>
15 #include <stan/math/prim/mat/fun/mdivide_left_tri_low.hpp>
16 #include <stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp>
17 #include <stan/math/prim/mat/meta/index_type.hpp>
18 #include <stan/math/prim/scal/fun/constants.hpp>
19 #include <stan/math/prim/scal/meta/include_summand.hpp>
20
21 namespace stan {
22 namespace math {
23
51 template <bool propto,
52 typename T_y, typename T_dof, typename T_scale>
53 typename boost::math::tools::promote_args<T_y, T_dof, T_scale>::type
54 wishart_log(const Eigen::Matrix<T_y, Eigen::Dynamic, Eigen::Dynamic>& W,
55 const T_dof& nu,
56 const Eigen::Matrix<T_scale, Eigen::Dynamic, Eigen::Dynamic>&
57 S) {
58 static const char* function("wishart_log");
59
60 using boost::math::tools::promote_args;
61 using Eigen::Dynamic;
62 using Eigen::Lower;
63 using Eigen::Matrix;
64
65 typename index_type<Matrix<T_scale, Dynamic, Dynamic> >::type k
66 = W.rows();
67 typename promote_args<T_y, T_dof, T_scale>::type lp(0.0);
68 check_greater(function, "Degrees of freedom parameter", nu, k-1);
69 check_square(function, "random variable", W);
70 check_square(function, "scale parameter", S);
71 check_size_match(function,
72 "Rows of random variable", W.rows(),
73 "columns of scale parameter", S.rows());
74
75 LDLT_factor<T_y, Eigen::Dynamic, Eigen::Dynamic> ldlt_W(W);
76 if (!check_ldlt_factor(function, "LDLT_Factor of random variable",
77 ldlt_W))
78 return lp;
79
80 LDLT_factor<T_scale, Eigen::Dynamic, Eigen::Dynamic> ldlt_S(S);
81 if (!check_ldlt_factor(function, "LDLT_Factor of scale parameter",
82 ldlt_S))
83 return lp;
84
85 if (include_summand<propto, T_dof>::value)
86 lp += nu * k * NEG_LOG_TWO_OVER_TWO;
87
88 if (include_summand<propto, T_dof>::value)
89 lp -= lmgamma(k, 0.5 * nu);
90
91 if (include_summand<propto, T_dof, T_scale>::value)
92 lp -= 0.5 * nu * log_determinant_ldlt(ldlt_S);
93
94 if (include_summand<propto, T_scale, T_y>::value) {
95 Matrix<typename promote_args<T_y, T_scale>::type, Dynamic, Dynamic>
96 Sinv_W(mdivide_left_ldlt
97 (ldlt_S,
98 static_cast<Matrix<T_y, Dynamic, Dynamic> >
99 (W.template selfadjointView<Lower>())));
100 lp -= 0.5 * trace(Sinv_W);
101 }
102
103 if (include_summand<propto, T_y, T_dof>::value && nu != (k + 1))
104 lp += 0.5 * (nu - k - 1.0) * log_determinant_ldlt(ldlt_W);
105 return lp;
106 }
107
108 template <typename T_y, typename T_dof, typename T_scale>
109 inline
110 typename boost::math::tools::promote_args<T_y, T_dof, T_scale>::type
111 wishart_log(const Eigen::Matrix<T_y, Eigen::Dynamic, Eigen::Dynamic>& W,
112 const T_dof& nu,
113 const Eigen::Matrix
114 <T_scale, Eigen::Dynamic, Eigen::Dynamic>& S) {
115 return wishart_log<false>(W, nu, S);
116 }
117
118 }
119 }
120 #endif
multiply_lower_tri_self_transpose.hpp
check_size_match.hpp
stan
Definition: log_sum_exp.hpp:8
crossprod.hpp
stan::math::mdivide_left_ldlt
Eigen::Matrix< fvar< T2 >, R1, C2 > mdivide_left_ldlt(const LDLT_factor< double, R1, C1 > &A, const Eigen::Matrix< fvar< T2 >, R2, C2 > &b)
Returns the solution of the system Ax=b given an LDLT_factor of A.
Definition: mdivide_left_ldlt.hpp:25
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
stan::math::check_ldlt_factor
bool check_ldlt_factor(const char *function, const char *name, LDLT_factor< T, R, C > &A)
Return true if the argument is a valid LDLT_factor.
Definition: check_ldlt_factor.hpp:34
stan::math::wishart_log
boost::math::tools::promote_args< T_y, T_dof, T_scale >::type wishart_log(const Eigen::Matrix< T_y, Eigen::Dynamic, Eigen::Dynamic > &W, const T_dof &nu, const Eigen::Matrix< T_scale, Eigen::Dynamic, Eigen::Dynamic > &S)
The log of the Wishart density for the given W, degrees of freedom, and scale matrix.
Definition: wishart_log.hpp:54
trace.hpp
include_summand.hpp
check_greater.hpp
check_ldlt_factor.hpp
columns_dot_product.hpp
stan::math::index_type
Primary template class for the metaprogram to compute the index type of a container.
Definition: index_type.hpp:18
stan::math::LDLT_factor
Definition: LDLT_factor.hpp:13
index_type.hpp
stan::math::check_size_match
bool check_size_match(const char *function, const char *name_i, T_size1 i, const char *name_j, T_size2 j)
Return true if the provided sizes match.
Definition: check_size_match.hpp:30
dot_product.hpp
constants.hpp
lmgamma.hpp
stan::math::trace
T trace(const Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > &m)
Returns the trace of the specified matrix.
Definition: trace.hpp:19
stan::math::NEG_LOG_TWO_OVER_TWO
const double NEG_LOG_TWO_OVER_TWO
Definition: constants.hpp:188
mdivide_left_ldlt.hpp
stan::math::lmgamma
fvar< typename stan::return_type< T, int >::type > lmgamma(int x1, const fvar< T > &x2)
Definition: lmgamma.hpp:15
stan::math::check_square
bool check_square(const char *function, const char *name, const Eigen::Matrix< T_y, Eigen::Dynamic, Eigen::Dynamic > &y)
Return true if the specified matrix is square.
Definition: check_square.hpp:28
mdivide_left_tri_low.hpp
stan::math::log_determinant_ldlt
T log_determinant_ldlt(LDLT_factor< T, R, C > &A)
Definition: log_determinant_ldlt.hpp:12
stan::math::check_greater
bool check_greater(const char *function, const char *name, const T_y &y, const T_low &low)
Return true if y is strictly greater than low.
Definition: check_greater.hpp:84
log_determinant_ldlt.hpp
check_square.hpp

[ Stan Home Page ] © 2011–2016, Stan Development Team.