A Partial Likelihood Approach to Smooth Estimation of Dynamic Covariate Effects using Penalised Splines

2007 ◽  
Vol 49 (3) ◽  
pp. 441-452 ◽  
Author(s):  
Denise Brown ◽  
Göran Kauermann ◽  
Ian Ford
Keyword(s):  
Partial Likelihood ◽  
Covariate Effects ◽  
Penalised Splines ◽  
Likelihood Approach

scholarly journals Event history analysis of dynamic networks

Biometrika ◽  
2020 ◽  
Author(s):  
T Sit ◽  
Z Ying ◽  
Y Yu
Keyword(s):  
Event History Analysis ◽  
Dynamic Networks ◽  
Partial Likelihood ◽  
Event History ◽  
Dependence Structure ◽  
Counting Processes ◽  
Asymptotic Results ◽  
History Analysis ◽  
History Of ◽  
Likelihood Approach

Summary Statistical analysis on networks has received growing attention due to demand from various emerging applications. In dynamic networks, one of the key interests is to model the event history of time-stamped interactions among nodes. We model dynamic directed networks via multivariate counting processes. A pseudo partial likelihood approach is exploited to capture the network dependence structure. Asymptotic results are established. Numerical experiments are performed to demonstrate the effectiveness of our proposal.

Heterogeneous Capture-Recapture Models with Covariates: A Partial Likelihood Approach for Closed Populations

Biometrics ◽  
2011 ◽  
Vol 67 (4) ◽  
pp. 1659-1665 ◽  
Author(s):  
Jakub Stoklosa ◽  
Wen-Han Hwang ◽  
Sheng-Hai Wu ◽  
Richard Huggins
Keyword(s):  
Partial Likelihood ◽  
Capture Recapture ◽  
Likelihood Approach ◽  
Closed Populations

A weighted partial likelihood approach for zero‐truncated models

2019 ◽  
Author(s):  
Wen‐Han Hwang ◽  
Dean Heinze ◽  
Jakub Stoklosa
Keyword(s):  
Partial Likelihood ◽  
Likelihood Approach
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