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
Integrative deep learning with prior assisted feature selection
Integrative deep learning with prior assisted feature selection
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Feifei Wang
,
Ke Jia
,
Yang Li
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Statistics in Medicine
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
Internet
https://onlinelibrary.wiley.com/doi/10.1002/sim.10148
Similar Items
REDOMA: Bayesian random‐effects dose‐optimization meta‐analysis using spike‐and‐slab priors
by: Cheng‐Han Yang, et al.
Published: (2024)
Bayesian Hierarchical Models With Calibrated Mixtures of g‐priors for Assessing Treatment Effect Moderation in Meta‐Analysis
by: Qiao Wang, et al.
Published: (2026)
Confidence distributions for treatment effects in clinical trials: Posteriors without priors
by: Ian C. Marschner
Published: (2024)
deepAFT: A nonlinear accelerated failure time model with artificial neural network
by: Patrick A. Norman, et al.
Published: (2024)
Simultaneous variable selection and estimation for survival data via the Gaussian seamless‐L0$$ {L}_0 $$ penalty
by: Zili Liu, et al.
Published: (2024)