Results 11 to 20 of about 684,507 (282)
Entropy, 2020 There is a difficulty in finding an estimate of the standard error (SE) of the profile likelihood estimator in the joint model of longitudinal and survival data.
Yuichi Hirose, Ivy Liu
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An Expectation-Maximization Algorithm for Including Oncological COVID-19 Deaths in Survival Analysis
Current Oncology, 2023 We address the problem of how COVID-19 deaths observed in an oncology clinical trial can be consistently taken into account in typical survival estimates.
Francesca De Felice +2 more
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Regression Analysis of Cure Model with Generalised Weibull Distribution
Statistica, 2021 Cure models are of special attention when all of the study subjects do not experience the event of interest even after long follow-up time. Many researchers have used exponential, gamma and Weibull distribution in the latency part of parametric cure ...
Parassery Parameswaran Rejani +1 more
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Joint lifetime modeling with matrix distributions
Dependence Modeling, 2023 Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their natural interpretation in terms of aging toward its inevitable absorption.
Albrecher Hansjörg +2 more
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flexCWM: A Flexible Framework for Cluster-Weighted Models
Journal of Statistical Software, 2018 Cluster-weighted models (CWMs) are mixtures of regression models with random covariates. However, besides having recently become rather popular in statistics and data mining, there is still a lack of support for CWMs within the most popular statistical ...
Angelo Mazza +2 more
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Cross-coupled doa trackers [PDF]
, 1997 A new robust, low complexity algorithm for multiuser tracking is proposed, modifying the two-stage parallel architecture of the estimate-maximize (EM) algorithm.
Kirlin, R L +2 more
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Variable selection in finite mixture of median regression models using skew-normal distribution
Statistical Theory and Related Fields, 2023 A regression model with skew-normal errors provides a useful extension for traditional normal regression models when the data involve asymmetric outcomes.
Xin Zeng, Yuanyuan Ju, Liucang Wu
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A probabilistic analysis of a leader election algorithm [PDF]
, 2006 A {\em leader election} algorithm is an elimination process that divides recursively into tow subgroups an initial group of n items, eliminates one subgroup and continues the procedure until a subgroup is of size 1.
Mohamed, Hanene
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Efficient training algorithms for HMMs using incremental estimation [PDF]
, 1998 Typically, parameter estimation for a hidden Markov model (HMM) is performed using an expectation-maximization (EM) algorithm with the maximum-likelihood (ML) criterion. The EM algorithm is an iterative scheme that is well-defined and numerically stable,
Gotoh, Y. +2 more
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logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model
Journal of Statistical Software, 2018 Relative risk regression using a log-link binomial generalized linear model (GLM) is an important tool for the analysis of binary outcomes. However, Fisher scoring, which is the standard method for fitting GLMs in statistical software, may have ...
Mark W. Donoghoe, Ian C. Marschner
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