Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data

T. Baghfalaki; M. Ganjali; R. Martins

doi:10.1080/00949655.2025.2538116

Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data

T. Baghfalaki
, M. Ganjali
, R. Martins

Statistics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	3548-3576
Number of pages	29
Journal	Journal of Statistical Computation and Simulation
Volume	95
Issue number	16
DOIs	https://doi.org/10.1080/00949655.2025.2538116
Publication status	Published - 2 Nov 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Approximate Bayesian inference
integrated Laplace approximation (INLA)
Joint modeling
latent Gaussian model
Spatial effects
Spline functions

Access to Document

10.1080/00949655.2025.2538116

Cite this

@article{c690f03aec1647f9848414d0a6bfcceb,

title = "Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data",

keywords = "Approximate Bayesian inference, integrated Laplace approximation (INLA), Joint modeling, latent Gaussian model, Spatial effects, Spline functions",

author = "T. Baghfalaki and M. Ganjali and R. Martins",

year = "2025",

month = nov,

day = "2",

doi = "10.1080/00949655.2025.2538116",

language = "English",

volume = "95",

pages = "3548--3576",

journal = "Journal of Statistical Computation and Simulation",

issn = "0094-9655",

publisher = "Taylor \& Francis",

number = "16",

}

TY - JOUR

T1 - Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data

AU - Baghfalaki, T.

AU - Ganjali, M.

AU - Martins, R.

PY - 2025/11/2

Y1 - 2025/11/2

KW - Approximate Bayesian inference

KW - integrated Laplace approximation (INLA)

KW - Joint modeling

KW - latent Gaussian model

KW - Spatial effects

KW - Spline functions

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pure_starter&SrcAuth=WosAPI&KeyUT=WOS:001545714100001&DestLinkType=FullRecord&DestApp=WOS_CPL

U2 - 10.1080/00949655.2025.2538116

DO - 10.1080/00949655.2025.2538116

M3 - Article

SN - 0094-9655

VL - 95

SP - 3548

EP - 3576

JO - Journal of Statistical Computation and Simulation

JF - Journal of Statistical Computation and Simulation

IS - 16

ER -

Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data

UN SDGs

Keywords

Access to Document

Other files and links

Cite this