Automatic Differentiation
 
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frechet_lpdf.hpp
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1#ifndef STAN_MATH_PRIM_PROB_FRECHET_LPDF_HPP
2#define STAN_MATH_PRIM_PROB_FRECHET_LPDF_HPP
3
18#include <boost/random/weibull_distribution.hpp>
19#include <boost/random/variate_generator.hpp>
21#include <cmath>
22
23namespace stan {
24namespace math {
25
26// Frechet(y|alpha, sigma) [y > 0; alpha > 0; sigma > 0]
27// FIXME: document
28template <bool propto, typename T_y, typename T_shape, typename T_scale,
30 T_y, T_shape, T_scale>* = nullptr>
32 const T_shape& alpha,
33 const T_scale& sigma) {
34 using T_partials_return = partials_return_t<T_y, T_shape, T_scale>;
35 using T_y_ref = ref_type_t<T_y>;
36 using T_alpha_ref = ref_type_t<T_shape>;
37 using T_sigma_ref = ref_type_t<T_scale>;
38 static constexpr const char* function = "frechet_lpdf";
39 check_consistent_sizes(function, "Random variable", y, "Shape parameter",
40 alpha, "Scale parameter", sigma);
41 T_y_ref y_ref = y;
42 T_alpha_ref alpha_ref = alpha;
43 T_sigma_ref sigma_ref = sigma;
44 using std::pow;
45
46 decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
47 decltype(auto) alpha_val = to_ref(as_value_column_array_or_scalar(alpha_ref));
48 decltype(auto) sigma_val = to_ref(as_value_column_array_or_scalar(sigma_ref));
49
50 check_positive(function, "Random variable", y_val);
51 check_positive_finite(function, "Shape parameter", alpha_val);
52 check_positive_finite(function, "Scale parameter", sigma_val);
53
54 if (size_zero(y, alpha, sigma)) {
55 return 0;
56 }
58 return 0;
59 }
60
61 auto ops_partials = make_partials_propagator(y_ref, alpha_ref, sigma_ref);
62
63 const auto& log_y
66 log(y_val));
67 const auto& sigma_div_y_pow_alpha
68 = to_ref_if<!is_constant_all<T_y, T_shape, T_scale>::value>(
69 pow(sigma_val / y_val, alpha_val));
70
71 size_t N = max_size(y, alpha, sigma);
72 T_partials_return logp = -sum(sigma_div_y_pow_alpha);
74 logp += sum(log(alpha_val)) * N / math::size(alpha);
75 }
77 logp -= sum((alpha_val + 1.0) * log_y) * N / max_size(y, alpha);
78 }
80 const auto& log_sigma
81 = to_ref_if<!is_constant_all<T_shape>::value>(log(sigma_val));
82 logp += sum(alpha_val * log_sigma) * N / max_size(alpha, sigma);
84 edge<1>(ops_partials).partials_
85 = inv(alpha_val) + (1 - sigma_div_y_pow_alpha) * (log_sigma - log_y);
86 }
87 }
89 edge<0>(ops_partials).partials_
90 = (alpha_val * sigma_div_y_pow_alpha - (alpha_val + 1)) / y_val;
91 }
93 edge<2>(ops_partials).partials_
94 = alpha_val / sigma_val * (1 - sigma_div_y_pow_alpha);
95 }
96 return ops_partials.build(logp);
97}
98
99template <typename T_y, typename T_shape, typename T_scale>
101 const T_shape& alpha,
102 const T_scale& sigma) {
103 return frechet_lpdf<false>(y, alpha, sigma);
104}
105
106} // namespace math
107} // namespace stan
108#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_shape_cl, T_scale_cl > frechet_lpdf(const T_y_cl &y, const T_shape_cl &alpha, const T_scale_cl &sigma)
The log of the frechet density for the specified scalar(s) given the specified sample stan::math::siz...
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:29
auto pow(const T1 &x1, const T2 &x2)
Definition pow.hpp:32
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.
ref_type_t< T && > to_ref(T &&a)
This evaluates expensive Eigen expressions.
Definition to_ref.hpp:17
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.
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.
void check_positive_finite(const char *function, const char *name, const T_y &y)
Check if y is positive and finite.
typename ref_type_if< true, T >::type ref_type_t
Definition ref_type.hpp:55
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 ...
Extends std::true_type when instantiated with zero or more template parameters, all of which extend t...
Template metaprogram to calculate whether a summand needs to be included in a proportional (log) prob...