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        MATHEMATICS / Probability & Statistics / Bayesian Analysis

        Showing results 1-7 of 7

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        ‹1›
        Bayesian Entrepreneurship

        Bayesian Entrepreneurship

        Bayesian Entrepreneurship

        Edited by Ajay Agrawal, Arnaldo Camuffo, Alfonso Gambardella, Erin L Scott, Scott Stern and Joshua Gans

        ISBN: 9780262052153

        Publisher: The MIT Press

        Pub Date: April 14, 2026

        A novel framework for how entrepreneurs can use Bayesian reasoning to make decisions.
        Mathematical Models of Meaning

        Mathematical Models of Meaning

        Mathematical Models of Meaning

        A Dynamic Systems Approach to Possible World Semiotics

        by Paul Kockelman

        ISBN: 9780262552684

        Publisher: The MIT Press

        Pub Date: August 19, 2025

        A mathematical model of meaning that captures the dynamics and diversity of meaning-oriented agents.
        Bayesian Models of Perception and Action

        Bayesian Models of Perception and Action

        Bayesian Models of Perception and Action

        An Introduction

        by Wei Ji Ma, Konrad Paul Kording and Daniel Goldreich

        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

        An Introduction to Lifted Probabilistic Inference

        Edited by Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan and David Poole

        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

        Bayesian Statistics for Experimental Scientists

        A General Introduction Using Distribution-Free Methods

        by Richard A. Chechile

        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

        Probabilistic Graphical Models

        Principles and Techniques

        by Daphne Koller and Nir Friedman

        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

        Optimal Estimation, Identification, and Control

        by Robert C. K. Lee

        ISBN: 9780262120128

        Publisher: The MIT Press

        Pub Date: November 15, 1964

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