JSTOR Daily

Nonparametric Estimation of the Joint Distribution of Survival Time and Mark Variables

In many applications, variables of interest are marks of the endpoints which are not observed when the survival time is censored. This paper focuses on nonparametric estimation of the joint ...
IEEE

DSFDcd: Joint Distribution Sampling and Feature Decoupling Deep Network for Remote Sensing Change Detection

Abstract: Remote sensing change detection (RSCD) aims to identify the regions of interest that have changed between dual-temporal images. However, most deep models predict CD results by extracting ...
JSTOR Daily

Tests of Independence for Bivariate Censored Data Based on the Empirical Joint Hazard Function

The joint cumulative hazard function associated with a bivariate distribution is estimated by its empirical version which generalizes Nelson-Aalen's estimator. A test of independence for bivariate ...
GitHub

Mantutor/ucs410-experiment-6-joint-probability-mass-and-density-functions-solved

(i) check that it is a joint density function or not? (Use integral2()) (ii) find marginal distribution g(x) at x = 1. (iii) find the marginal distribution h(y) at y = 0. (iv) find the expected value ...
IEEE

Xiao Li

Gaussian Copula,Rank Correlation,Wind Power,Amount Of Change,Analytical Methods,Circuit Breaker,Complementary Features,Copula Theory,Distributed Power Sources ...