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
A treeless absolutely random forest with closed‐form estimators of expected proximities
A treeless absolutely random forest with closed‐form estimators of expected proximities
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Eugene Laska
,
Ziqiang Lin
,
Carole Siegel
,
Charles Marmar
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Statistical Analysis and Data Mining: An ASA Data Science Journal
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/sam.11678
Similar Items
Deep Learning for Variable Selection in Censored Quantile Regression Models
by: Ziqiang Deng, et al.
Published: (2025)
Hub‐aware random walk graph embedding methods for classification
by: Aleksandar Tomčić, et al.
Published: (2024)
Semiparametric estimation of average treatment effects in observational studies
by: Jun Wang, et al.
Published: (2024)
Density estimation via measure transport: Outlook for applications in the biological sciences
by: Vanessa López‐Marrero, et al.
Published: (2024)
Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees
by: Charles Truong, et al.
Published: (2024)