Results 1 to 10 of about 138 (90)

A generalized Gompertz promotion time cure model and its fitness to cancer data [PDF]

Heliyon
The cure models based on standard distributions like exponential, Weibull, lognormal, Gompertz, gamma, are often used to analyze survival data from cancer clinical trials with long-term survivors.
Ayesha Tahira, Muhammad Yameen Danish
doaj   +2 more sources

Epidemiological modeling of COVID-19 data with Advanced statistical inference based on Type-II progressive censoring [PDF]

Heliyon
This research proposes the Kavya-Manoharan Unit Exponentiated Half Logistic (KM-UEHL) distribution as a novel tool for epidemiological modeling of COVID-19 data.
Naif Alotaibi, A.S. Al-Moisheer, Amal S. Hassan, Ibrahim Elbatal, Salem A. Alyami, Ehab M. Almetwally   +5 more
doaj   +2 more sources

A generalized double robust Bayesian model averaging approach to causal effect estimation with application to the study of osteoporotic fractures

Journal of Causal Inference, 2022
Analysts often use data-driven approaches to supplement their knowledge when selecting covariates for effect estimation. Multiple variable selection procedures for causal effect estimation have been devised in recent years, but additional developments ...
Talbot Denis, Beaudoin Claudia
doaj   +1 more source

A surrogate Bayesian framework for a SARS-CoV-2 data driven stochastic model

Computational and Mathematical Biophysics, 2022
Dynamic compartmentalized data (DCD) and compartmentalized differential equations (CDEs) are key instruments for modeling transmission of pathogens such as the SARS-CoV-2 virus.
Ganesh M., Hawkins S. C.
doaj   +1 more source

Bayesian Inference for SIR Epidemic Model with dependent parameters

Moroccan Journal of Pure and Applied Analysis, 2022
This paper is concerned with the Bayesian inference for the dependent parameters of stochastic SIR epidemic model in a closed population. The estimation framework involves the introduction of m − 1 latent data between every pair of observations. Kibble’s
Qaffou Abdelaziz, Maroufy Hamid El, Zbair Mokhtar   +2 more
doaj   +1 more source

Bayes' approach of linear regression to modeling the human development index in Indonesia

Majalah Ilmiah Matematika dan Statistika, 2023
Regression analysis is one of the data analysis techniques that can be used to examine the correlation between two variables, namely dependent variable and independent variable.
Achmad Fazriwanandi, Darnah Andi Nohe, Wasono Wasono   +2 more
doaj   +1 more source

Bayesian credibility premium with GB2 copulas

Dependence Modeling, 2020
For observations over a period of time, Bayesian credibility premium may be used to predict the value of a response variable for a subject, given previously observed values.
Jeong Himchan, Valdez Emiliano A.
doaj   +1 more source

Consistency of mixture models with a prior on the number of components

Dependence Modeling, 2023
This article establishes general conditions for posterior consistency of Bayesian finite mixture models with a prior on the number of components. That is, we provide sufficient conditions under which the posterior concentrates on neighborhoods of the ...
Miller Jeffrey W.
doaj   +1 more source

Copula multivariate GARCH model with constrained Hamiltonian Monte Carlo

Dependence Modeling, 2019
The Copula Multivariate GARCH (CMGARCH) model is based on a dynamic copula function with time-varying parameters. It is particularly suited for modelling dynamic dependence of non-elliptically distributed financial returns series.
Burda Martin, Bélisle Louis
doaj   +1 more source

A simple proof of Pitman–Yor’s Chinese restaurant process from its stick-breaking representation

Dependence Modeling, 2019
For a long time, the Dirichlet process has been the gold standard discrete random measure in Bayesian nonparametrics. The Pitman-Yor process provides a simple and mathematically tractable generalization, allowing for a very flexible control of the ...
Lawless Caroline, Arbel Julyan
doaj   +1 more source