Automatic Differentiation
 
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◆ exponential_lpdf() [2/3]

template<bool propto, typename T_y , typename T_inv_scale , require_all_not_nonscalar_prim_or_rev_kernel_expression_t< T_y, T_inv_scale > * = nullptr>
return_type_t< T_y, T_inv_scale > stan::math::exponential_lpdf ( const T_y &  y,
const T_inv_scale &  beta 
)

The log of an exponential density for y with the specified inverse scale parameter.

Inverse scale parameter must be greater than 0. y must be greater than or equal to 0.

\begin{eqnarray*} y &\sim& \mbox{\sf{Expon}}(\beta) \\ \log (p (y \, |\, \beta) ) &=& \log \left( \beta \exp^{-\beta y} \right) \\ &=& \log (\beta) - \beta y \\ & & \mathrm{where} \; y > 0 \end{eqnarray*}

Template Parameters
T_ytype of scalar
T_inv_scaletype of inverse scale
Parameters
yA scalar variable.
betaInverse scale parameter.
Exceptions
std::domain_errorif beta is not greater than 0.
std::domain_errorif y is not greater than or equal to 0.

Definition at line 52 of file exponential_lpdf.hpp.