Automatic Differentiation
 
Loading...
Searching...
No Matches
weibull_lpdf.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_PRIM_PROB_WEIBULL_LPDF_HPP
2#define STAN_MATH_PRIM_PROB_WEIBULL_LPDF_HPP
3
18#include <cmath>
19
20namespace stan {
21namespace math {
22
37template <bool propto, typename T_y, typename T_shape, typename T_scale,
39 T_y, T_shape, T_scale>* = nullptr>
41 const T_shape& alpha,
42 const T_scale& sigma) {
43 using T_partials_return = partials_return_t<T_y, T_shape, T_scale>;
44 using T_y_ref = ref_type_if_not_constant_t<T_y>;
45 using T_alpha_ref = ref_type_if_not_constant_t<T_shape>;
46 using T_sigma_ref = ref_type_if_not_constant_t<T_scale>;
47 using std::pow;
48 static constexpr const char* function = "weibull_lpdf";
49 check_consistent_sizes(function, "Random variable", y, "Shape parameter",
50 alpha, "Scale parameter", sigma);
51
52 T_y_ref y_ref = y;
53 T_alpha_ref alpha_ref = alpha;
54 T_sigma_ref sigma_ref = sigma;
55
56 decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref));
57 decltype(auto) alpha_val = to_ref(as_value_column_array_or_scalar(alpha_ref));
58 decltype(auto) sigma_val = to_ref(as_value_column_array_or_scalar(sigma_ref));
59
60 check_finite(function, "Random variable", y_val);
61 check_positive_finite(function, "Shape parameter", alpha_val);
62 check_positive_finite(function, "Scale parameter", sigma_val);
63
64 if (size_zero(y, alpha, sigma)) {
65 return 0;
66 }
68 return 0;
69 }
70
71 auto ops_partials = make_partials_propagator(y_ref, alpha_ref, sigma_ref);
72
73 if (sum(promote_scalar<int>(y_val < 0))) {
74 return LOG_ZERO;
75 }
76
77 const auto& log_y
78 = to_ref_if<include_summand<propto, T_y, T_shape>::value>(log(y_val));
79 const auto& log_sigma
80 = to_ref_if<include_summand<propto, T_shape, T_scale>::value>(
81 log(sigma_val));
82 const auto& inv_sigma
83 = to_ref_if<!is_constant_all<T_scale>::value>(inv(sigma_val));
84 const auto& y_div_sigma_pow_alpha
85 = to_ref_if<!is_constant_all<T_y, T_shape, T_scale>::value>(
86 pow(y_val * inv_sigma, alpha_val));
87
88 size_t N = max_size(y, alpha, sigma);
89 T_partials_return logp = -sum(y_div_sigma_pow_alpha);
91 logp += sum(log(alpha_val)) * N / math::size(alpha);
92 }
94 logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y);
95 }
97 logp -= sum(alpha_val * log_sigma) * N / max_size(alpha, sigma);
98 }
99
101 edge<0>(ops_partials).partials_
102 = (alpha_val * (1 - y_div_sigma_pow_alpha) - 1.0) / y_val;
103 }
105 edge<1>(ops_partials).partials_
106 = inv(alpha_val) + (1.0 - y_div_sigma_pow_alpha) * (log_y - log_sigma);
107 }
109 edge<2>(ops_partials).partials_
110 = alpha_val * inv_sigma * (y_div_sigma_pow_alpha - 1.0);
111 }
112 return ops_partials.build(logp);
113}
114
115template <typename T_y, typename T_shape, typename T_scale>
117 const T_shape& alpha,
118 const T_scale& sigma) {
119 return weibull_lpdf<false>(y, alpha, sigma);
120}
121
122} // namespace math
123} // namespace stan
124#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 > weibull_lpdf(const T_y_cl &y, const T_shape_cl &alpha, const T_scale_cl &sigma)
Returns the Weibull log probability density for the given location and scale.
size_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:18
typename return_type< Ts... >::type return_type_t
Convenience type for the return type of the specified template parameters.
static constexpr double LOG_ZERO
The natural logarithm of 0, .
Definition constants.hpp:68
size_t max_size(const T1 &x1, const Ts &... xs)
Calculate the size of the largest input.
Definition max_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
fvar< T > log(const fvar< T > &x)
Definition log.hpp:15
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.
fvar< T > sum(const std::vector< fvar< T > > &m)
Return the sum of the entries of the specified standard vector.
Definition sum.hpp:22
ref_type_t< T && > to_ref(T &&a)
This evaluates expensive Eigen expressions.
Definition to_ref.hpp:17
void check_finite(const char *function, const char *name, const T_y &y)
Return true if all values in y are finite.
fvar< T > pow(const fvar< T > &x1, const fvar< T > &x2)
Definition pow.hpp:19
fvar< T > inv(const fvar< T > &x)
Definition inv.hpp:12
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<!is_constant< T >::value, T >::type ref_type_if_not_constant_t
Definition ref_type.hpp:62
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 ...
Definition fvar.hpp:9
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...