Publications

Approximate Bayesian Inference for Joint Partially Linear Modeling of Longitudinal Measurements and Spatial Time-To-Event Data

AuthID
P-019-W4G

Author(s)

Baghfalaki, T

Ganjali, M

Martins, R

Document Type

Article in Press

Year published

2025

Published

in JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, ISSN: 0094-9655

Pages: 1-29 (29)

Indexing

Wos^®

Scopus^®

Crossref^®

Google Scholar^®

Publication Identifiers

DOI: 10.1080/00949655.2025.2538116

Scopus: 2-s2.0-105012604733

Wos: WOS:001545714100001

Source Identifiers

ISSN: 0094-9655

Export Publication Metadata

Marked List

Add to Marked List

Citations

Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

CORE Conference

No information about CORE Rank

During the preprocessing phase, only publications of type 'Proceedings Paper' or 'Proceedings' are automatically processed to identify their CORE Rank.

TIP: If your publication's CORE Rank is missing, you can contact with your institutional manager to have the correct ranking manually added to the record.

Journal Factors

Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

Full Text

Full Text @ sfx.b-on.pt

Approximate Bayesian Inference for Joint Partially Linear Modeling of Longitudinal Measurements and Spatial Time-To-Event Data

Useful Links

Get Help

Federated Authentication (Click on the image)

Approximate Bayesian Inference for Joint Partially Linear Modeling of Longitudinal Measurements and Spatial Time-To-Event Data

Useful Links

Get Help