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Allgemeinbegriff

Bayes-Inferenz

Bayes-Entscheidungstheorie

Subject heading	Bayes-Inferenz
Definition	Statistische Schlußweisen mit Hilfe einer Bayes-Entscheidungsfunktion
Synonym	Bayesche Inferenz Statistische Schlussweise / Bayes-Regel
Broader term	Bayes-Entscheidungstheorie
Topic	Stochastik, Operations Research
Source	Spektrum-Lex.-Mathem.
Record type	Allgemeinbegriff
GND-Identifier	4648118-7
Record ID	962274100
Topic of show all The use and accessibility of Bayesian Inference in the Life Sciences AI for Cognitive Science: Scaling Bayesian Modeling with Deep Learning Bayesian Inference in Stochastic Biological Systems Bayesian Meta-Learning for Probabilistic Modeling and Optimization Bayesian surrogate modeling for uncertainty-aware inference and data integration Conditional generative models for Bayesian inverse problems Extending Joint Models and Quantile Regression - New Bayesian Approaches to Estimation and Effect Selection Hydrogeodesy : a Bayesian perspective Thresholds and algorithms in Bayesian inference Towards trustworthy amortized Bayesian inference with deep learning Bayesian inference for CAD-based pose estimation on depth images for robotic manipulation Bayesian Inference for Top-Down Protein Markov Models and the Ubiquity of Michaelis-Menten Kinetics Bayesian multi-purpose modelling of plant growth and development across scales Causal dynamic modeling with Bayesian methods Study on Identifiability of Fracture Properties of Concrete given Experimental Data A Holistic Approach to Structural Dynamics Using Serial Crystallography Advancing Methods and Applicability of Simulation-Based Inference in Neuroscience 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 Computational methods to detect HLA-associated mutations Derivative-informed Bayesian inference for trainable geological modeling - in modern machine-learning framework Latent variable augmentation for approximate Bayesian inference : applications for Gaussian processes Semi-Parametric Distributional Regression in Forestry and Ecology : Software, Models and Applications Variational Bayes for Continual Learning and Time-Series Forecasting Bayesian full waveform inversion for exploration during mechanized tunneling : a numerical and experimental study Machine learning algorithm for fatigue fields in additive manufacturing Modern methods in bayesian probabilistic modeling and their applications Simulation-Based Inference for Neuroscience and Beyond Vibration-based monitoring of concrete catenary poles using Bayesian inference Lifted Bayesian filtering in multi-entity systems Bayes-Statistik Evaluation bayesianischer kognitiver Modelle in der Vorhersage menschlichen Verhaltens Nonparametrische Bayes-Inferenz in mehrdimensionalen Item Response Modellen Numerical Methods for Bayesian Inference in Hilbert Spaces Bayesian environment representation, prediction, and criticality assessment for driver assistance systems Numerical methods for Bayesian inference in Hilbert spaces Bayesian environment representation, prediction, and criticality assessment for driver assistance systems Bayesian Environment Representation, Prediction, and Criticality Assessment for Driver Assistance Systems Bayesian inference for discretely observed diffusion processes Generalized Bayesian inference under prior-data conflict Generalized Bayesian inference under prior-data conflict Bayesian methods in structural bioinformatics Bayesian Methods in Structural Bioinformatics Adaptive and tractable Bayesian context inference for resource constrained devices Modelling operational risk using Bayesian inference Modelling Operational Risk Using Bayesian Inference Prediction strategies for dynamic objects in visual scenes The value of information updating in new product development Financial risk management with Bayesian estimation of GARCH models : theory and applications Financial risk management with Bayesian estimation of GARCH models : theory and applications Bayesian estimation for white light interferometry Bayesian estimation for white light interferometry Bayesian estimation for white light interferometry Regression models for ordinal valued time series : estimation and applications in finance Regression models for ordinal valued time series : estimation and applications in finance Bayesian Inference : Parameter Estimation and Decisions Bayesian inference : parameter estimation and decisions ; with numerous examples, and 79 problems with solutions Regression Models for Ordinal Valued Time Series: Applications in High Frequency Finance and Medicine A Bayesian approach to learning Hidden Markov model topology with applications to biological sequence analysis A Bayesian approach to learning Hidden Markov model topology with applications to biological sequence analysis

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Katalog der Deutschen Nationalbibliothek

Bayes-Inferenz

The use and accessibility of Bayesian Inference in the Life Sciences

AI for Cognitive Science: Scaling Bayesian Modeling with Deep Learning

Bayesian Inference in Stochastic Biological Systems

Bayesian Meta-Learning for Probabilistic Modeling and Optimization

Bayesian surrogate modeling for uncertainty-aware inference and data integration

Conditional generative models for Bayesian inverse problems

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

Hydrogeodesy : a Bayesian perspective

Thresholds and algorithms in Bayesian inference

Towards trustworthy amortized Bayesian inference with deep learning

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

Bayesian Inference for Top-Down Protein Markov Models and the Ubiquity of Michaelis-Menten Kinetics

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

Causal dynamic modeling with Bayesian methods

Study on Identifiability of Fracture Properties of Concrete given Experimental Data

A Holistic Approach to Structural Dynamics Using Serial Crystallography

Advancing Methods and Applicability of Simulation-Based Inference in Neuroscience

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

Computational methods to detect HLA-associated mutations

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

Latent variable augmentation for approximate Bayesian inference : applications for Gaussian processes

Semi-Parametric Distributional Regression in Forestry and Ecology : Software, Models and Applications

Variational Bayes for Continual Learning and Time-Series Forecasting

Bayesian full waveform inversion for exploration during mechanized tunneling : a numerical and experimental study

Machine learning algorithm for fatigue fields in additive manufacturing

Modern methods in bayesian probabilistic modeling and their applications

Simulation-Based Inference for Neuroscience and Beyond

Vibration-based monitoring of concrete catenary poles using Bayesian inference

Lifted Bayesian filtering in multi-entity systems

Bayes-Statistik

Evaluation bayesianischer kognitiver Modelle in der Vorhersage menschlichen Verhaltens

Nonparametrische Bayes-Inferenz in mehrdimensionalen Item Response Modellen

Numerical Methods for Bayesian Inference in Hilbert Spaces

Bayesian environment representation, prediction, and criticality assessment for driver assistance systems

Numerical methods for Bayesian inference in Hilbert spaces

Bayesian environment representation, prediction, and criticality assessment for driver assistance systems

Bayesian Environment Representation, Prediction, and Criticality Assessment for Driver Assistance Systems

Bayesian inference for discretely observed diffusion processes

Generalized Bayesian inference under prior-data conflict

Generalized Bayesian inference under prior-data conflict

Bayesian methods in structural bioinformatics

Bayesian Methods in Structural Bioinformatics

Adaptive and tractable Bayesian context inference for resource constrained devices

Modelling operational risk using Bayesian inference

Modelling Operational Risk Using Bayesian Inference

Prediction strategies for dynamic objects in visual scenes

The value of information updating in new product development

Financial risk management with Bayesian estimation of GARCH models : theory and applications

Financial risk management with Bayesian estimation of GARCH models : theory and applications

Bayesian estimation for white light interferometry

Bayesian estimation for white light interferometry

Bayesian estimation for white light interferometry

Regression models for ordinal valued time series : estimation and applications in finance

Regression models for ordinal valued time series : estimation and applications in finance

Bayesian Inference : Parameter Estimation and Decisions

Bayesian inference : parameter estimation and decisions ; with numerous examples, and 79 problems with solutions

Regression Models for Ordinal Valued Time Series: Applications in High Frequency Finance and Medicine

A Bayesian approach to learning Hidden Markov model topology with applications to biological sequence analysis

A Bayesian approach to learning Hidden Markov model topology with applications to biological sequence analysis