Buscar
Mostrando ítems 1-10 de 71
MODELING PERCENTAGE OF POOR PEOPLE IN INDONESIA USING KERNEL AND FOURIER SERIES MIXED ESTIMATOR IN NONPARAMETRIC REGRESSIONMODELING PERCENTAGE OF POOR PEOPLE IN INDONESIA USING KERNEL AND FOURIER SERIES MIXED ESTIMATOR IN NONPARAMETRIC REGRESSION
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
Semiparametric Bayesian inference for multilevel repeated measurement data
(WILEY, 2007)
We discuss inference for data with repeated measurements at multiple levels. The motivating example is data with blood counts from cancer patients undergoing multiple cycles of chemotherapy, with days nested within cycles. ...
Assessing the order of dependence for partially exchangeable binary data
(AMER STATISTICAL ASSOC, 1998)
The problem we consider is how to assess the order of serial dependence within partially exchangeable binary sequences, We obtain exact conditional tests comparing any two orders by finding the conditional distribution of ...
Bayesian inference for longitudinal data with nonparametrics random effects
(2014)
We consider inference for longitudinal data based on mixed-effects models with a non-parametric Bayesian prior on the treatment effect.
The proposed non-parametric Bayesian prior is a random partition model with a regression ...
Bayesian inference for longitudinal data with non-parametric treatment effects
(2014)
We consider inference for longitudinal data based on mixed-effects models with a non-parametric Bayesian prior on the treatment effect.
The proposed non-parametric Bayesian prior is a random partition model with a regression ...
A class of mixtures of dependent tail-free processes
(OXFORD UNIV PRESS, 2011)
We propose a class of dependent processes in which density shape is regressed on one or more predictors through conditional tail-free probabilities by using transformed Gaussian processes. A particular linear version of ...
Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach
(Elsevier Science BvAmsterdamHolanda, 2014)
Analysis Of Aggregated Functional Data From Mixed Populations With Application To Energy Consumption
(Wiley-BlackwellHoboken, 2017)
DPpackage: Bayesian Semi- and Nonparametric Modeling in R
(JOURNAL STATISTICAL SOFTWARE, 2011)
Data analysis sometimes requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against mis-specification of the probability model. In the Bayesian context, this is accomplished ...
Extending multivariate Student's-t semiparametric mixed models for longitudinal data with censored responses and heavy tails
(John Wiley and Sons Ltd, 2022)
© 2022 John Wiley & Sons Ltd.This article extends the semiparametric mixed model for longitudinal censored data with Gaussian errors by considering the Student's (Formula presented.) -distribution. This model allows us to ...