Results 1 to 10 of about 527,420 (298)

Modeling insurance claims using Bayesian nonparametric regression. [PDF]

open access: yesPLoS ONE
Predicting future insurance claims using observed covariates is essential for actuaries in setting appropriate insurance premiums. For this purpose, actuaries commonly employ parametric regression models, which assume the same functional form tying the ...
Mostafa Shams, Kaushik Ghosh
doaj   +3 more sources

Bayesian nonparametric method for genetic dissection of brain activation region [PDF]

open access: yesFrontiers in Neuroscience, 2023
Biological evidence indicewates that the brain atrophy can be involved at the onset of neuropathological pathways of Alzheimer's disease. However, there is lack of formal statistical methods to perform genetic dissection of brain activation phenotypes ...
Zhuxuan Jin   +3 more
doaj   +2 more sources

A Bayesian nonparametric method for jointly clustering multiple spatial transcriptomic datasets and simultaneous gene selection [PDF]

open access: yesScientific Reports
In spatial transcriptomics, many algorithms are available for clustering cells into groups based on gene expression and location, although not without limitations. Such limitations include having to know the number of clusters, limiting inference to only
Donald Turner, Yang Ni
doaj   +2 more sources

Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника, 2023
Introduction. Nonparametric Bayesian networks are a promising tool for analyzing, visualizing, interpreting and predicting the structural and dynamic characteristics of complex systems. Modern interdisciplinary research involves the complex processing of
Nikita S. Pyko   +5 more
doaj   +1 more source

Bayesian Analysis of Tweedie Compound Poisson Partial Linear Mixed Models with Nonignorable Missing Response and Covariates

open access: yesEntropy, 2023
Under the Bayesian framework, this study proposes a Tweedie compound Poisson partial linear mixed model on the basis of Bayesian P-spline approximation to nonparametric function for longitudinal semicontinuous data in the presence of nonignorable missing
Zhenhuan Wu, Xingde Duan, Wenzhuan Zhang
doaj   +1 more source

Bayesian Analysis for Penalized Spline Regression Using WinBUGS

open access: yesJournal of Statistical Software, 2005
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression ...
Ciprian M. Crainiceanu   +2 more
doaj   +1 more source

Bayesian model averaging for nonparametric discontinuity design.

open access: yesPLoS ONE, 2022
Quasi-experimental research designs, such as regression discontinuity and interrupted time series, allow for causal inference in the absence of a randomized controlled trial, at the cost of additional assumptions.
Max Hinne   +3 more
doaj   +1 more source

qgam: Bayesian Nonparametric Quantile Regression Modeling in R

open access: yesJournal of Statistical Software, 2021
Generalized additive models (GAMs) are flexible non-linear regression models, which can be fitted efficiently using the approximate Bayesian methods provided by the mgcv R package.
Matteo Fasiolo   +4 more
doaj   +1 more source

Bayesian nonparametric duration model with censorship

open access: yesStatistica, 2007
This paper is concerned with nonparametric i.i.d. durations models censored observations and we establish by a simple and unified approach the general structure of a bayesian nonparametric estimator for a survival function S.
Joseph Hakizamungu, Jean-Marie Rolin
doaj   +1 more source

Model Selection for High Dimensional Nonparametric Additive Models via Ridge Estimation

open access: yesMathematics, 2022
In ultrahigh dimensional data analysis, to keep computational performance well and good statistical properties still working, nonparametric additive models face increasing challenges.
Haofeng Wang   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy