Powerful Statistical Inference for Nested Data Using Sufficient Summary Statistics
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Frontiers in Human Neuroscience (12:) - Lausanne : Frontiers Media S.A. - Art.-Id. 103
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin
- (wer)
-
Technische Universität Berlin
- (wann)
-
2019
- Urheber
-
Dowding, Irene
Haufe, Stefan
- DOI
-
10.14279/depositonce-9188
- Handle
-
11303/10226
- URN
-
urn:nbn:de:101:1-2019110601011886584110
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:56 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Dowding, Irene
- Haufe, Stefan
- Technische Universität Berlin
Entstanden
- 2019
Ähnliche Objekte (12)
Dynamic inference in general nested case‐control designs
Sufficient
Nested pseudo-likelihood estimation and bootstrap-based inference for structural discrete Markov decision models
Nested Pseudo-likelihood Estimation and Bootstrap-based Inference for Structural Discrete Markov Decision Models
Sufficient Statistics
Powerful, Ahoy!
The nested Sinkhorn divergence to learn the nested distance
Nested Session Types
Sisterhood is powerful
Sisterhood is powerful
Morgan : Sisterhood is powerful!
Powerful Players & Potent Partners
Dynamic inference in general nested case‐control designs
Sufficient
Nested pseudo-likelihood estimation and bootstrap-based inference for structural discrete Markov decision models
Nested Pseudo-likelihood Estimation and Bootstrap-based Inference for Structural Discrete Markov Decision Models
Sufficient Statistics
Powerful, Ahoy!
The nested Sinkhorn divergence to learn the nested distance
Nested Session Types
Sisterhood is powerful
Sisterhood is powerful
Morgan : Sisterhood is powerful!
Powerful Players & Potent Partners
Dynamic inference in general nested case‐control designs
Sufficient
Nested pseudo-likelihood estimation and bootstrap-based inference for structural discrete Markov decision models
Nested Pseudo-likelihood Estimation and Bootstrap-based Inference for Structural Discrete Markov Decision Models
Sufficient Statistics
Powerful, Ahoy!
The nested Sinkhorn divergence to learn the nested distance
Nested Session Types
Sisterhood is powerful
Sisterhood is powerful
Morgan : Sisterhood is powerful!