Results 221 to 230 of about 344,945 (269)
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2020
Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties,
Bernardi Mauro +2 more
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Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties,
Bernardi Mauro +2 more
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2004
AbstractThis article is concerned with Bayesian epistemology. Bayesianism claims to provide a unified theory of epistemic and practical rationality based on the principle of mathematical expectation. In its epistemic guise, it requires believers to obey the laws of probability.
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AbstractThis article is concerned with Bayesian epistemology. Bayesianism claims to provide a unified theory of epistemic and practical rationality based on the principle of mathematical expectation. In its epistemic guise, it requires believers to obey the laws of probability.
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NEJM Evidence, 2023
Bayesian WayThis animated video explores two possible approaches to analyzing data in a randomized controlled trial: "Frequentist" versus "Bayesian."
C Corey, Hardin +6 more
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Bayesian WayThis animated video explores two possible approaches to analyzing data in a randomized controlled trial: "Frequentist" versus "Bayesian."
C Corey, Hardin +6 more
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Econometrica, 1991
Summary: The subject of this paper is the decentralization of decision making when agents have information which is incomplete and possibly exclusive. The first theorem states that in economic environments with three or more individuals, there exists a mechanism whose Bayesian equilibria coincide with a desired collection of social choice functions if ...
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Summary: The subject of this paper is the decentralization of decision making when agents have information which is incomplete and possibly exclusive. The first theorem states that in economic environments with three or more individuals, there exists a mechanism whose Bayesian equilibria coincide with a desired collection of social choice functions if ...
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IEEE Transactions on Neural Networks, 2007
In this paper, we modify the fuzzy ARTMAP (FA) neural network (NN) using the Bayesian framework in order to improve its classification accuracy while simultaneously reduce its category proliferation. The proposed algorithm, called Bayesian ARTMAP (BA), preserves the FA advantages and also enhances its performance by the following: (1) representing a ...
Boaz Vigdor, Boaz Lerner
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In this paper, we modify the fuzzy ARTMAP (FA) neural network (NN) using the Bayesian framework in order to improve its classification accuracy while simultaneously reduce its category proliferation. The proposed algorithm, called Bayesian ARTMAP (BA), preserves the FA advantages and also enhances its performance by the following: (1) representing a ...
Boaz Vigdor, Boaz Lerner
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Academy of Management Proceedings, 2007
We study three distinct measures of overconfidence: (1) overestimation of one's performance, (2) overplacement of one's performance relative to others, and (3) overprecision in one's belief about private signals. A new set of experiments verifies a strong negative link between overestimation and overprecision that depends crucially on task difficulty ...
Healy, Paul J., Moore, Don A.
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We study three distinct measures of overconfidence: (1) overestimation of one's performance, (2) overplacement of one's performance relative to others, and (3) overprecision in one's belief about private signals. A new set of experiments verifies a strong negative link between overestimation and overprecision that depends crucially on task difficulty ...
Healy, Paul J., Moore, Don A.
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On the Bayesian Stability in the Empirical Bayesian Approach
Journal of Mathematical Sciences, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Objective Bayesianism, Bayesian conditionalisation and voluntarism
Synthese, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2012
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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Synthese, 2009
Bayesian decision theory is here construed as explicating a particular concept of rational choice and Bayesian probability is taken to be the concept of probability used in that theory. Bayesian probability is usually identified with the agent’s degrees of belief but that interpretation makes Bayesian decision theory a poor explication of the relevant ...
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Bayesian decision theory is here construed as explicating a particular concept of rational choice and Bayesian probability is taken to be the concept of probability used in that theory. Bayesian probability is usually identified with the agent’s degrees of belief but that interpretation makes Bayesian decision theory a poor explication of the relevant ...
openaire +1 more source