Improved AIC selection strategy for survival analysis
نویسندگان
چکیده
منابع مشابه
Factor Analysis and Aic
The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation. It was obtained by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis. The use of the AIC criterion in the factor analysis is particularly interesting whe...
متن کاملImproved Relay Selection Strategy for Hybrid Decode-Amplify Forward Protocol
—To improve the problems of noise amplification and error propagation of the fixed cooperation schemes in cooperative communications, a relay selection strategy is proposed based on the hybrid decode-amplify-forward protocol. It can adaptively determine cooperation schemes according to the Channel Status Information (CSI) of the source-relay. Then it selects the best relay from the candidate r...
متن کاملA Bootstrap Variant of Aic for State-space Model Selection
Following in the recent work of Hurvich and Tsai (1989, 1991, 1993) and Hurvich, Shumway, and Tsai (1990), we propose a corrected variant of AIC developed for the purpose of small-sample state-space model selection. Our variant of AIC utilizes bootstrapping in the state-space framework (Stoffer and Wall (1991)) to provide an estimate of the expected Kullback-Leibler discrepancy between the mode...
متن کاملThe Iterative Bayesian Model Averaging Algorithm for Survival Analysis: an Improved Method for Gene Selection and Survival Analysis on Microarray Data
Survival analysis is a supervised learning technique that in the context of microarray data is most frequently used to identify genes whose expression levels are correlated with patient survival prognosis. Survival analysis is generally applied to diseased samples for the purpose of analyzing time to event, where the event can be any milestone of interest (e.g., metastases, relapse, or death). ...
متن کاملQuery-Specific Recency Ranking: Survival Analysis for Improved Microblog Retrieval
We offer a preliminary application of survival analysis to the problem of ranking documents in a time-aware setting. Specifically, we focus on microblog retrieval where recency is often positively correlated with relevance. We propose a method of temporal retrieval based on estimation of an exponential distribution’s parameter by use of partial maximum likelihood.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2008
ISSN: 0167-9473
DOI: 10.1016/j.csda.2007.09.003