On predictive inference for intractable models via approximate Bayesian computation
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
On predictive inference for intractable models via approximate Bayesian computation ; volume:33 ; number:2 ; day:9 ; month:2 ; year:2023 ; pages:1-20 ; date:4.2023
Statistics and computing ; 33, Heft 2 (9.2.2023), 1-20, 4.2023
- Creator
-
Järvenpää, Marko
Corander, Jukka
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s11222-022-10163-6
- URN
-
urn:nbn:de:101:1-2023081721042548553810
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Järvenpää, Marko
- Corander, Jukka
- SpringerLink (Online service)
Other Objects (12)
Modeling SNP array ascertainment with Approximate Bayesian Computation for demographic inference
Approximate Bayesian inference in semi-mechanistic models
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
Automating approximate Bayesian computation by local linear regression
Weighted approximate Bayesian computation via Sanov’s theorem
Inference of the Demographic History of Domesticated Species Using Approximate Bayesian Computation and Likelihood-based Methods
Evaluating explanations of land cover change using approximate Bayesian Computation
A rare event approach to high-dimensional approximate Bayesian computation
Strategies for improving approximate Bayesian computation tests for synchronous diversification
A wall-time minimizing parallelization strategy for approximate Bayesian computation
Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption
Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread
Modeling SNP array ascertainment with Approximate Bayesian Computation for demographic inference
Approximate Bayesian inference in semi-mechanistic models
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
Automating approximate Bayesian computation by local linear regression
Weighted approximate Bayesian computation via Sanov’s theorem
Inference of the Demographic History of Domesticated Species Using Approximate Bayesian Computation and Likelihood-based Methods
Evaluating explanations of land cover change using approximate Bayesian Computation
A rare event approach to high-dimensional approximate Bayesian computation
Strategies for improving approximate Bayesian computation tests for synchronous diversification
A wall-time minimizing parallelization strategy for approximate Bayesian computation
Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption
Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread
Modeling SNP array ascertainment with Approximate Bayesian Computation for demographic inference
Approximate Bayesian inference in semi-mechanistic models
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
Automating approximate Bayesian computation by local linear regression
Weighted approximate Bayesian computation via Sanov’s theorem
Inference of the Demographic History of Domesticated Species Using Approximate Bayesian Computation and Likelihood-based Methods
Evaluating explanations of land cover change using approximate Bayesian Computation
A rare event approach to high-dimensional approximate Bayesian computation
Strategies for improving approximate Bayesian computation tests for synchronous diversification
A wall-time minimizing parallelization strategy for approximate Bayesian computation
Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption