2000 Mathematics Subject Classification: 62N02In the multipath change - point problems, it is often of interest to assess the impact of covariates on the change point itself as well as on the parameter before and after the change point. In this paper, we consider a simple model for the change-point distribution, and then through hazard, we include covariates in the change point distribution. Maximum likelihood estimation is discussed
This work is an in-depth study of the change point problem from a general point of view and a furthe...
This paper describes and compares several prominent single and multiple changepoint techniques for t...
In the first part of the dissertation, we propose two tests with the purpose of detecting change poi...
Follow-up studies on a group of units such as subjects, geographical, or ecologicalregions, are freq...
Longitudinal data often consist of a set of covariates and repeated measurements of an outcome over ...
The statistical analysis of change-point detection and estimation has received much attention recent...
The statistical analysis of change-point detection and estimation has received much attention recent...
This thesis studied the change point problem under the contiguous setup. Specifically when the amoun...
The thesis studies change points in absolute time for censored survival data with some contributions...
In general, the change point problem considers inference of a change in distribution for a set of ti...
Recently there has been a keen interest in the statistical analysis of change point detection and es...
A change-point is said to occur at $ tau$ in a sequence of random variables $X sb1,X sb2,$ ...,$X sb...
In many experiments, several measurements on the same variable are taken over time, a geo-graphic re...
In most recent clinical studies, the focus is on estimation of the proportion of patients who are cu...
Abstract: After a brief review of previous frequentist and Bayesian approaches to multiple change-po...
This work is an in-depth study of the change point problem from a general point of view and a furthe...
This paper describes and compares several prominent single and multiple changepoint techniques for t...
In the first part of the dissertation, we propose two tests with the purpose of detecting change poi...
Follow-up studies on a group of units such as subjects, geographical, or ecologicalregions, are freq...
Longitudinal data often consist of a set of covariates and repeated measurements of an outcome over ...
The statistical analysis of change-point detection and estimation has received much attention recent...
The statistical analysis of change-point detection and estimation has received much attention recent...
This thesis studied the change point problem under the contiguous setup. Specifically when the amoun...
The thesis studies change points in absolute time for censored survival data with some contributions...
In general, the change point problem considers inference of a change in distribution for a set of ti...
Recently there has been a keen interest in the statistical analysis of change point detection and es...
A change-point is said to occur at $ tau$ in a sequence of random variables $X sb1,X sb2,$ ...,$X sb...
In many experiments, several measurements on the same variable are taken over time, a geo-graphic re...
In most recent clinical studies, the focus is on estimation of the proportion of patients who are cu...
Abstract: After a brief review of previous frequentist and Bayesian approaches to multiple change-po...
This work is an in-depth study of the change point problem from a general point of view and a furthe...
This paper describes and compares several prominent single and multiple changepoint techniques for t...
In the first part of the dissertation, we propose two tests with the purpose of detecting change poi...