- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1758-2946
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Proteochemometric modeling in a Bayesian framework ; volume:6 ; number:1 ; day:28 ; month:6 ; year:2014 ; pages:1-16 ; date:12.2014
Journal of cheminformatics ; 6, Heft 1 (28.6.2014), 1-16, 12.2014
- Creator
-
Cortes-Ciriano, Isidro
van Westen, Gerard JP
Lenselink, Eelke Bart
Murrell, Daniel S.
Bender, Andreas
Malliavin, Thérèse
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/1758-2946-6-35
- URN
-
urn:nbn:de:101:1-2021080710545252509994
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 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
- Cortes-Ciriano, Isidro
- van Westen, Gerard JP
- Lenselink, Eelke Bart
- Murrell, Daniel S.
- Bender, Andreas
- Malliavin, Thérèse
- SpringerLink (Online service)
Other Objects (12)
Modeling Dependence Structures for Response Times in a Bayesian Framework
Modeling Probabilities of Patent Oppositions in a Bayesian Semiparametric Regression Framework
Derivative-informed Bayesian inference for trainable geological modeling - in modern machine-learning framework
A space–time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow
Hypothesis Testing in the Bayesian Framework
Bayesian semiparametric stochastic volatility modeling
Bayesian semiparametric multivariate GARCH modeling
Modeling creative abduction Bayesian style
Bayesian Demographic Modeling and Forecasting
Bayesian methods in integrative structure modeling
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
Non-Bayesian updating: A theoretical framework
Modeling Dependence Structures for Response Times in a Bayesian Framework
Modeling Probabilities of Patent Oppositions in a Bayesian Semiparametric Regression Framework
Derivative-informed Bayesian inference for trainable geological modeling - in modern machine-learning framework
A space–time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow
Hypothesis Testing in the Bayesian Framework
Bayesian semiparametric stochastic volatility modeling
Bayesian semiparametric multivariate GARCH modeling
Modeling creative abduction Bayesian style
Bayesian Demographic Modeling and Forecasting
Bayesian methods in integrative structure modeling
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
Non-Bayesian updating: A theoretical framework
Modeling Dependence Structures for Response Times in a Bayesian Framework
Modeling Probabilities of Patent Oppositions in a Bayesian Semiparametric Regression Framework
Derivative-informed Bayesian inference for trainable geological modeling - in modern machine-learning framework
A space–time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow
Hypothesis Testing in the Bayesian Framework
Bayesian semiparametric stochastic volatility modeling
Bayesian semiparametric multivariate GARCH modeling
Modeling creative abduction Bayesian style
Bayesian Demographic Modeling and Forecasting
Bayesian methods in integrative structure modeling
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework