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Allgemeinbegriff

Bayes-Verfahren

Bayes-Entscheidungstheorie

Subject heading	Bayes-Verfahren
Synonym	Bayessches Vorgehen (Biometr. W.) Bayes-Analyse (HMW, Bd. 2) Bayes-Methode Bayessche statistische Verfahren (Enz. Psychol., Serie I, Bd. 5 unter Bayes-Statistik) Bayessche Analyse Bayesianisches Verfahren Bayes-Statistik Bayes-Inferenz
Broader term	Bayes-Entscheidungstheorie
Topic	Stochastik, Operations Research
Source	analog
Record type	Allgemeinbegriff
GND-Identifier	4204326-8
Record ID	042043263
Topic of show all Bayesian approaches to medical studies under limited information The use and accessibility of Bayesian Inference in the Life Sciences A Computationally Efficient Basket Trial Design Based on Power Priors A new perspective on blazars as neutrino sources with Bayesian statistics Accelerated Bayesian inference techniques for event based datasets : in nested sampling and X-ray astronomy Addressing uncertainty and complex data structures through Bayesian and classical approaches AI for Cognitive Science: Scaling Bayesian Modeling with Deep Learning Bayesian Approaches to Observability and Extensions of Copula State Space Models and their Applications Bayesian Deep Learning Framework for Radiogenomics Analysis of Cancer Bayesian Framework for Aleatoric and Epistemic Uncertainty Quantification of Quantitative Parameters: Application to DCE-MRI of the Liver Bayesian Inference in Stochastic Biological Systems Bayesian Meta-Learning for Probabilistic Modeling and Optimization Bayesian optimization of Laser-Wakefield Accelerators Bayesian parameter estimation and thermodynamics in equilibrating quantum systems Bayesian surrogate modeling for uncertainty-aware inference and data integration Conditional generative models for Bayesian inverse problems Data-efficient reinforcement learning with Bayesian neural networks Econometric essays on model selection and inference using combined testing and shrinkage estimation Extending Joint Models and Quantile Regression - New Bayesian Approaches to Estimation and Effect Selection From theory to practice: Bayesian preprocessing for palaeomagnetic sediment records Hierarchical methods for Bayesian optimal experimental design Hydrogeodesy : a Bayesian perspective Probabilistic Circuits: Going Bayesian and Spectral with Densities and Time Series Psychological sense of community : Inhaltsvalidität von Testverfahren in Abhängigkeit von Bezugsgemeinschaften Rational Polynomial Chaos Expansion for Forward and Inverse Uncertainty Quantification in Structural Dynamics Reproducible modeling and uncertainty quantification of sparse and variable data Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing Towards trustworthy amortized Bayesian inference with deep learning Bayesian fusion of probabilistic forecasts Bayesian imaging with ground-based telescopes Bayesian inference for CAD-based pose estimation on depth images for robotic manipulation Bayesian multi-purpose modelling of plant growth and development across scales Bayesian User Behavioral Modeling for Self-Learning Comfort Systems in Vehicles Bayesianische Parameterschätzung : über die Bedeutung für die Theorieentwicklung in der deutschen Pflegewissenschaft Bayesianische Parameterschätzung : Über die Bedeutung für die Theorieentwicklung in der deutschen Pflegewissenschaft Causal dynamic modeling with Bayesian methods Designing translational animal experiments by using Bayesian predictive approaches Efficient diagnostics of complex mechanical systems Estimation of DSGE models: Skewness matters From Deep Mixture Models towards Distributional Regression - Exploring Complex Multivariate Data Noisy Bayesian Optimization of Variational Quantum Eigensolvers On Methods for Bayesian Optimization of Least-Squares Problems and Optimization of Nanophotonic Devices Probabilistic model checking and parameter tuning for Bayesian networks Solving Bayesian inverse problems using neural networks Study on Identifiability of Fracture Properties of Concrete given Experimental Data Theoretical and practical contributions to Bayesian penalized spline regression Uncertainty Estimation for Independent and Non-Independent Data Accelerated bioprocess research by autonomous experimentation and Bayesian modeling Advanced parameter estimation, Bayesian uncertainty quantification, and surrogate modeling for chromatography processes Advances in hierarchical Bayesian learning with applications to neuroimaging Advancing Methods and Applicability of Simulation-Based Inference in Neuroscience Bayesian cluster analysis for single-molecule localization microscopy Bayesian inference and model selection on ion channel data Bayesian inference and modeling for point processes with applications from neuronal activity to scene viewing Bayesian Parametric Receptive-Field Identification from Sparse or Noisy Data Complex dynamic source modeling of large earthquakes constrained by Bayesian inversion and observations Computational methods to detect HLA-associated mutations Derivative-informed Bayesian inference for trainable geological modeling - in modern machine-learning framework Entwicklung und Analyse eines Bayes-Inversion-Verfahrens zur Identifizierung der Materialparameter in viskoelastischen Strukturen Essays on Using Shrinkage Estimators in Econometrics

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Katalog der Deutschen Nationalbibliothek

Bayes-Verfahren

Bayesian approaches to medical studies under limited information

The use and accessibility of Bayesian Inference in the Life Sciences

A Computationally Efficient Basket Trial Design Based on Power Priors

A new perspective on blazars as neutrino sources with Bayesian statistics

Accelerated Bayesian inference techniques for event based datasets : in nested sampling and X-ray astronomy

Addressing uncertainty and complex data structures through Bayesian and classical approaches

AI for Cognitive Science: Scaling Bayesian Modeling with Deep Learning

Bayesian Approaches to Observability and Extensions of Copula State Space Models and their Applications

Bayesian Deep Learning Framework for Radiogenomics Analysis of Cancer

Bayesian Framework for Aleatoric and Epistemic Uncertainty Quantification of Quantitative Parameters: Application to DCE-MRI of the Liver

Bayesian Inference in Stochastic Biological Systems

Bayesian Meta-Learning for Probabilistic Modeling and Optimization

Bayesian optimization of Laser-Wakefield Accelerators

Bayesian parameter estimation and thermodynamics in equilibrating quantum systems

Bayesian surrogate modeling for uncertainty-aware inference and data integration

Conditional generative models for Bayesian inverse problems

Data-efficient reinforcement learning with Bayesian neural networks

Econometric essays on model selection and inference using combined testing and shrinkage estimation

Extending Joint Models and Quantile Regression - New Bayesian Approaches to Estimation and Effect Selection

From theory to practice: Bayesian preprocessing for palaeomagnetic sediment records

Hierarchical methods for Bayesian optimal experimental design

Hydrogeodesy : a Bayesian perspective

Probabilistic Circuits: Going Bayesian and Spectral with Densities and Time Series

Psychological sense of community : Inhaltsvalidität von Testverfahren in Abhängigkeit von Bezugsgemeinschaften

Rational Polynomial Chaos Expansion for Forward and Inverse Uncertainty Quantification in Structural Dynamics

Reproducible modeling and uncertainty quantification of sparse and variable data

Structure-exploiting uncertainty quantification and control : Bayesian inference and Itô SDE methods from MRI segmentation to autonomous sensing

Towards trustworthy amortized Bayesian inference with deep learning

Bayesian fusion of probabilistic forecasts

Bayesian imaging with ground-based telescopes

Bayesian inference for CAD-based pose estimation on depth images for robotic manipulation

Bayesian multi-purpose modelling of plant growth and development across scales

Bayesian User Behavioral Modeling for Self-Learning Comfort Systems in Vehicles

Bayesianische Parameterschätzung : über die Bedeutung für die Theorieentwicklung in der deutschen Pflegewissenschaft

Bayesianische Parameterschätzung : Über die Bedeutung für die Theorieentwicklung in der deutschen Pflegewissenschaft

Causal dynamic modeling with Bayesian methods

Designing translational animal experiments by using Bayesian predictive approaches

Efficient diagnostics of complex mechanical systems

Estimation of DSGE models: Skewness matters

From Deep Mixture Models towards Distributional Regression - Exploring Complex Multivariate Data

Noisy Bayesian Optimization of Variational Quantum Eigensolvers

On Methods for Bayesian Optimization of Least-Squares Problems and Optimization of Nanophotonic Devices

Probabilistic model checking and parameter tuning for Bayesian networks

Solving Bayesian inverse problems using neural networks

Study on Identifiability of Fracture Properties of Concrete given Experimental Data

Theoretical and practical contributions to Bayesian penalized spline regression

Uncertainty Estimation for Independent and Non-Independent Data

Accelerated bioprocess research by autonomous experimentation and Bayesian modeling

Advanced parameter estimation, Bayesian uncertainty quantification, and surrogate modeling for chromatography processes

Advances in hierarchical Bayesian learning with applications to neuroimaging

Advancing Methods and Applicability of Simulation-Based Inference in Neuroscience

Bayesian cluster analysis for single-molecule localization microscopy

Bayesian inference and model selection on ion channel data

Bayesian inference and modeling for point processes with applications from neuronal activity to scene viewing

Bayesian Parametric Receptive-Field Identification from Sparse or Noisy Data

Complex dynamic source modeling of large earthquakes constrained by Bayesian inversion and observations

Computational methods to detect HLA-associated mutations

Derivative-informed Bayesian inference for trainable geological modeling - in modern machine-learning framework

Entwicklung und Analyse eines Bayes-Inversion-Verfahrens zur Identifizierung der Materialparameter in viskoelastischen Strukturen

Essays on Using Shrinkage Estimators in Econometrics