Results 11 to 20 of about 2,902,778 (234)
Semiparametric Regression Analysis via Infer.NET
Journal of Statistical Software, 2018 We provide several examples of Bayesian semiparametric regression analysis via the Infer.NET package for approximate deterministic inference in Bayesian models.
Jan Luts +3 more
doaj +2 more sources
Semiparametric Regression Using Variational Approximations [PDF]
Journal of the American Statistical Association, 2019 35 pages, 3 figures, 2 tables, To appear in Journal of the American Statistical Association: Theory and ...
Hui, Francis +3 more
openaire +5 more sources
Semiparametric Regression with R [PDF]
Technometrics, 2022 Zixiao Wang, Yi Feng, Lin Liu
semanticscholar +3 more sources
Semiparametric Regression for Spatial Data via Deep Learning [PDF]
Spatial Statistics, 2023 In this work, we propose a deep learning-based method to perform semiparametric regression analysis for spatially dependent data. To be specific, we use a sparsely connected deep neural network with rectified linear unit (ReLU) activation function to ...
Kexuan Li +4 more
semanticscholar +1 more source
More accurate semiparametric regression in pharmacogenomics. [PDF]
Stat Interface, 2018 Rong Y +5 more
europepmc +2 more sources
Nonparametric tests for semiparametric regression models
Test (Madrid), 2023 Semiparametric regression models have received considerable attention over the last decades, because of their flexibility and their good finite sample performances. Here we propose an innovative nonparametric test for the linear part of the models, based
Federico Ferraccioli +2 more
semanticscholar +1 more source
Symmetry, 2022 A multiresponse multipredictor semiparametric regression (MMSR) model is a combination of parametric and nonparametric regressions models with more than one predictor and response variables where there is correlation between responses.
Nur Chamidah +7 more
semanticscholar +1 more source
IOP Conference Series: Earth and Environment, 2021 Regression analysis is a method of analysis to determine the relationship between the response and the predictor variables. There are three approaches in regression analysis, namely the parametric, nonparametric, and semiparametric approaches. Biresponse
H. Husain, I. Budiantara, I. Zain
semanticscholar +1 more source
Semiparametric Regression Analysis of Panel Count Data: A Practical Review. [PDF]
Int Stat Rev, 2019 Panel count data arise in many applications when the event history of a recurrent event process is only examined at a sequence of discrete time points. In spite of the recent methodological developments, the availability of their software implementations
Chiou SH, Huang CY, Xu G, Yan J.
europepmc +2 more sources
, 2021 Regression modelling is one Statistical methods that be used to investigate the relationship between predictor variable and response variable. In regression modelling can be estimated with three approaches, such as parametric, nonparametric and ...
Kuzairi, Miswanto, M. F. F. Mardianto
semanticscholar +1 more source