predict_VaRCTE_prior: predict_VaRCTE_prior

In UofTActuarial/LRMoE: Logit-Weighted Reduced Mixture-of-Experts

Description

Predicts the p-th value-at-risk (VaR) and conditional tail expectation (CTE) of response, given observations Y, covariates X, logit regression coefficients alpha and a specified model of expert functions.

Usage

predict_VaRCTE_prior(X, alpha, model, p, exposure_future = list())

Arguments

X	A matrix of covariates.
alpha	A matrix of logit regression coefficients.
model	A matrix specifying the expert functions.
p	A matrix of probabilities.
exposure_future	A vector indicating the time exposure (future) of each observation. If nothing is supplied,it is set to 1.0 by default.

Value

result: list(VaR, CTE) VaR: A matrix of predicted VaR of response, based on prior probabilities. CTE: A matrix of predicted CTE of response, based on prior probabilities.

UofTActuarial/LRMoE documentation built on Feb. 18, 2022, 1:36 a.m.