This function computes the ratio \( f(u_ij | D) \), where \( f(u_ij | D) \) is the likelihood of a given value of \( u_ij \) conditioned on the observed data.
Usage
f_uz_given_D_gaussian(
u_ij,
method = "gl",
period = c(0, 1),
y_tilde,
v_tilde,
tau_tilde,
n_samples = NULL,
n_intervals = NULL,
n_points = 30
)Arguments
- u_ij
Numeric, the integration variable.
- method
Character, the integration method to use ("mc", "ti", "gl").
- period
Numeric vector, the integration period.
- y_tilde
Numeric, parameter for the exponential function in the integrand.
- v_tilde
Numeric, parameter for the exponential function in the integrand.
- tau_tilde
Numeric, parameter for the exponential function in the integrand.
- n_samples
Integer, number of samples for Monte Carlo integration.
- n_intervals
Integer, number of intervals for Trapezoidal integration.
- n_points
Integer, number of points for Gaussian-Legendre integration.