Mathematics / Probability & Statistics / Bayesian Analysis
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Bayesian Models of Perception and Action
Bayesian Models of Perception and Action
An Introduction
ISBN: 9780262047593
Publisher: The MIT Press
Pub Date: August 8, 2023
An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.
An Introduction to Lifted Probabilistic Inference
An Introduction to Lifted Probabilistic Inference
ISBN: 9780262542593
Publisher: The MIT Press
Pub Date: August 17, 2021
Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models.
Bayesian Statistics for Experimental Scientists
Bayesian Statistics for Experimental Scientists
A General Introduction Using Distribution-Free Methods
ISBN: 9780262044585
Publisher: The MIT Press
Pub Date: September 8, 2020
An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis.
Probabilistic Graphical Models
Probabilistic Graphical Models
Principles and Techniques
ISBN: 9780262013192
Publisher: The MIT Press
Pub Date: July 31, 2009
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
Optimal Estimation, Identification, and Control
Optimal Estimation, Identification, and Control
ISBN: 9780262120128
Publisher: The MIT Press
Pub Date: November 15, 1964
This work explores the fundamental problems of estimation, identification, and control of dynamic systems from the viewpoint of modern control theory. The book reviews existing concepts of optimal control...
Bayesian Models of Perception and Action
Bayesian Models of Perception and Action
An Introduction
ISBN: 9780262047593
Publisher: The MIT Press
Pub Date: August 8, 2023
An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.
An Introduction to Lifted Probabilistic Inference
An Introduction to Lifted Probabilistic Inference
ISBN: 9780262542593
Publisher: The MIT Press
Pub Date: August 17, 2021
Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models.
Bayesian Statistics for Experimental Scientists
Bayesian Statistics for Experimental Scientists
A General Introduction Using Distribution-Free Methods
ISBN: 9780262044585
Publisher: The MIT Press
Pub Date: September 8, 2020
An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis.
Probabilistic Graphical Models
Probabilistic Graphical Models
Principles and Techniques
ISBN: 9780262013192
Publisher: The MIT Press
Pub Date: July 31, 2009
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
Optimal Estimation, Identification, and Control
Optimal Estimation, Identification, and Control
ISBN: 9780262120128
Publisher: The MIT Press
Pub Date: November 15, 1964
This work explores the fundamental problems of estimation, identification, and control of dynamic systems from the viewpoint of modern control theory. The book reviews existing concepts of optimal control...