Exact adaptive pointwise estimation on Sobolev classes of densities
, 2001 . The subject of this paper is to estimate adaptively the common probability density of n independent, identically distributed random variables. The estimation is done at a xed point x0 2 R, over the density functions that belong to the Sobolev class Wn (
Butucea, Cristina, Cristina Butucea
core +1 more source
Optimal subsampling proportional subdistribution hazards regression with rare events in big data [PDF]
The data set is provided by Surveillance Research Program, National Cancer Institute SEER*Stat software (seer.cancer.gov/seerstat) version 8.3.9.1.2000 Mathematics Subject Classification: Primary 62N01; Secondary 62P10.The proportional subdistribution ...
Tian, M, Yu, K, Li, E, Tang, ML
core +1 more source
Bayes prediction based on right censored data
Bayes prediction, Random censorship, Prediction interval, Exponential distribution, 62C10, 62N01,
Lichun Wang, Noël Veraverbeke
core +1 more source
Univariate Parametric Survival Analysis using GS-distributions
, 2020 The GS-distribution is a family of distributions that provide an accurate representation of any unimodal univariate continuous distribution. In this contribution we explore the utility of this family as a general model in survival analysis.
J M Muiño, J Fibla, A Sorribas, M Rué
core
Nonparametric versus Parametric Statistical Approaches for Genetic Anticipation: The Pancreatic Cancer Case [PDF]
, 2007 2000 Mathematics Subject Classi cation: 62N01, 62N05, 62P10, 92D10, 92D30.Genetic anticipation for a particular disease can involve an earlier age of onset, greater severity, and/or a higher number of affected individuals in successive generations within
T. Lynch, Henry +4 more
core
Score tests for independence in parametric competing risks models
Competing risks, Copulas, Hazard rate, Kendall’s tau, Martingales, Weibull regression, 62N03, 62N01,
Louis-Paul Rivest +2 more
core +1 more source
This study proposes the use of semiparametric log-normal shared frailty models to analyze time-to-event data for individuals with similar features referred to as clusters.
Kazeem, Adedayo +4 more
core +1 more source
Bayesian analysis of the Box-Cox transformation model based on left-truncated and right-censored data. [PDF]
J Appl Stat, 2021 Wang C, Jiang J, Luo L, Wang S.
europepmc +1 more source
Predictive analysis for joint progressive censoring plans: a Bayesian approach. [PDF]
J Appl Stat, 2022 Ahmadi MV, Doostparast M.
europepmc +1 more source
Bivariate Birnbaum-Saunders accelerated lifetime model: estimation and diagnostic analysis. [PDF]
J Appl Stat, 2022 Ioneris Oliveira M +3 more
europepmc +1 more source