Automatic Differentiation
 
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rayleigh_lpdf.hpp
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1#ifndef STAN_MATH_PRIM_PROB_RAYLEIGH_LPDF_HPP
2#define STAN_MATH_PRIM_PROB_RAYLEIGH_LPDF_HPP
3
17#include <cmath>
18
19namespace stan {
20namespace math {
21
22template <bool propto, typename T_y, typename T_scale,
24 T_y, T_scale>* = nullptr>
26 const T_scale& sigma) {
27 using T_partials_return = partials_return_t<T_y, T_scale>;
28 using T_y_ref = ref_type_if_not_constant_t<T_y>;
29 using T_sigma_ref = ref_type_if_not_constant_t<T_scale>;
30 static constexpr const char* function = "rayleigh_lpdf";
31 check_consistent_sizes(function, "Random variable", y, "Scale parameter",
32 sigma);
33
34 T_y_ref y_ref = y;
35 T_sigma_ref sigma_ref = sigma;
36
37 decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
38 decltype(auto) sigma_val = to_ref(as_value_column_array_or_scalar(sigma_ref));
39
40 check_positive(function, "Scale parameter", sigma_val);
41 check_positive(function, "Random variable", y_val);
42
43 if (size_zero(y, sigma)) {
44 return 0.0;
45 }
47 return 0.0;
48 }
49
50 auto ops_partials = make_partials_propagator(y_ref, sigma_ref);
51
52 const auto& inv_sigma
53 = to_ref_if<is_any_autodiff_v<T_y, T_scale>>(inv(sigma_val));
54 const auto& y_over_sigma
55 = to_ref_if<is_any_autodiff_v<T_y, T_scale>>(y_val * inv_sigma);
56
57 size_t N = max_size(y, sigma);
58 T_partials_return logp = -0.5 * sum(square(y_over_sigma));
60 logp -= 2.0 * sum(log(sigma_val)) * N / math::size(sigma);
61 }
63 logp += sum(log(y_val)) * N / math::size(y);
64 }
65
66 if constexpr (is_any_autodiff_v<T_y, T_scale>) {
67 const auto& scaled_diff
68 = to_ref_if<(is_autodiff_v<T_y> && is_autodiff_v<T_scale>)>(
69 inv_sigma * y_over_sigma);
70 if constexpr (is_autodiff_v<T_y>) {
71 partials<0>(ops_partials) = inv(y_val) - scaled_diff;
72 }
73 if constexpr (is_autodiff_v<T_scale>) {
74 edge<1>(ops_partials).partials_
75 = y_over_sigma * scaled_diff - 2.0 * inv_sigma;
76 }
77 }
78
79 return ops_partials.build(logp);
80}
81
82template <typename T_y, typename T_scale>
84 const T_scale& sigma) {
85 return rayleigh_lpdf<false>(y, sigma);
86}
87
88} // namespace math
89} // namespace stan
90#endif
require_all_not_t< is_nonscalar_prim_or_rev_kernel_expression< std::decay_t< Types > >... > require_all_not_nonscalar_prim_or_rev_kernel_expression_t
Require none of the types satisfy is_nonscalar_prim_or_rev_kernel_expression.
return_type_t< T_y_cl, T_scale_cl > rayleigh_lpdf(const T_y_cl &y, const T_scale_cl &sigma)
The log of an Rayleigh density for y with the specified scale parameter.
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
int64_t size(const T &m)
Returns the size (number of the elements) of a matrix_cl or var_value<matrix_cl<T>>.
Definition size.hpp:19
bool size_zero(const T &x)
Returns 1 if input is of length 0, returns 0 otherwise.
Definition size_zero.hpp:19
T to_ref_if(T &&a)
No-op that should be optimized away.
Definition to_ref.hpp:45
fvar< T > log(const fvar< T > &x)
Definition log.hpp:18
auto as_value_column_array_or_scalar(T &&a)
Extract the value from an object and for eigen vectors and std::vectors convert to an eigen column ar...
void check_consistent_sizes(const char *)
Trivial no input case, this function is a no-op.
auto sum(const std::vector< T > &m)
Return the sum of the entries of the specified standard vector.
Definition sum.hpp:23
void check_positive(const char *function, const char *name, const T_y &y)
Check if y is positive.
ref_type_t< T && > to_ref(T &&a)
This evaluates expensive Eigen expressions.
Definition to_ref.hpp:18
int64_t max_size(const T1 &x1, const Ts &... xs)
Calculate the size of the largest input.
Definition max_size.hpp:20
fvar< T > inv(const fvar< T > &x)
Definition inv.hpp:13
auto make_partials_propagator(Ops &&... ops)
Construct an partials_propagator.
fvar< T > square(const fvar< T > &x)
Definition square.hpp:12
typename ref_type_if< is_autodiff_v< T >, T >::type ref_type_if_not_constant_t
Definition ref_type.hpp:63
typename partials_return_type< Args... >::type partials_return_t
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Template metaprogram to calculate whether a summand needs to be included in a proportional (log) prob...