Results 31 to 40 of about 201,170 (293)
Evidential-EM Algorithm Applied to Progressively Censored Observations [PDF]
, 2014 Evidential-EM (E2M) algorithm is an effective approach for computing maximum likelihood estimations under finite mixture models, especially when there is uncertain information about data.
A.P. Dempster +5 more
core +5 more sources
A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects
BMC Medical Research Methodology, 2009 Background Multivariate analysis of interval censored event data based on classical likelihood methods is notoriously cumbersome. Likelihood inference for models which additionally include random effects are not available at all.
Hölzel Dieter +3 more
doaj +1 more source
Optimal Experimental Design Based on Two-Dimensional Likelihood Profiles
Frontiers in Molecular Biosciences, 2022 Dynamic behavior of biological systems is commonly represented by non-linear models such as ordinary differential equations. A frequently encountered task in such systems is the estimation of model parameters based on measurement of biochemical compounds.
Tim Litwin +8 more
doaj +1 more source
Full Open Population Capture-Recapture Models with Individual Covariates [PDF]
, 2010 Traditional analyses of capture-recapture data are based on likelihood functions that explicitly integrate out all missing data. We use a complete data likelihood (CDL) to show how a wide range of capture-recapture models can be easily fitted using ...
Barker, Richard J. +1 more
core +1 more source
Spatial Modeling of Censored Survival Data [PDF]
Mathematical Researches, 2016 An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even immeasurable.
K Motarjem, M Mohammadzadeh, A Abyar
openaire +2 more sources
Adjusted Empirical Likelihood for Varying Coefficient Partially Linear Models with Censored Data
Journal of Mathematics, 2013 By constructing an adjusted auxiliary vector ingeniously, we propose an adjusted empirical likelihood ratio function for the parametric components of varying coefficient partially linear models with censored data.
Peixin Zhao
doaj +1 more source
Estimating panel data duration models with censored data [PDF]
, 2005 This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty ...
Lee, S.
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez +13 more
wiley +1 more source
A Residual Control Chart Based on Convolutional Neural Network for Normal Interval-Censored Data
MathematicsTo reduce reliability testing time, experiments are often terminated at a predetermined time, producing right-censored lifetime data. Alternatively, when test samples are inspected at fixed intervals, failures are only observed within these intervals ...
Pei-Hsi Lee
doaj +1 more source
The liability threshold model for censored twin data [PDF]
Computational Statistics & Data Analysis, 2016 Family studies provide an important tool for understanding etiology of diseases, with the key aim of discovering evidence of family aggregation and to determine if such aggregation can be attributed to genetic components. Heritability and concordance estimates are routinely calculated in twin studies of diseases, as a way of quantifying such genetic ...
Klaus K. Holst +2 more
openaire +4 more sources