Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Approximate inferences for Bayesian hierarchical generalised linear regression models
Approximate inferences for Bayesian hierarchical generalised linear regression models
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Brandon Berman
,
Wesley O. Johnson
,
Weining Shen
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Australian & New Zealand Journal of Statistics
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
High‐dimensional graphical inference via partially penalised regression
by: Ni Zhao, et al.
Published: (2025)
Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model
by: Eric J. Beh, et al.
Published: (2025)
Full Bayesian analysis of triple seasonal autoregressive models
by: Ayman A. Amin
Published: (2024)
Online semiparametric regression via sequential Monte Carlo
by: Marianne Menictas, et al.
Published: (2025)
Asymptotics for the conditional self‐weighted M$$ M $$ estimator of GRCA(p$$ p $$) models and its statistical inference
by: Chi Yao, et al.
Published: (2024)