Примери коришћења Decision theory на Енглеском и њихови преводи на Српски
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Analysis with decision theory.
The phrase"decision theory" itself was used in 1950 by E. I. Lehmann.
This area represents the heart of decision theory.
It is of special interest in decision theory, and for the Bayesian interpretation of probability theory. .
Various extensions of this non-probabilistic approach exist,notably minimax regret and Info-gap decision theory.
The new models in finance,economics and decision theory need a coherent training in these fields.
The St. Petersburg paradox orSt. Petersburg lottery is a paradox related to probability and decision theory in economics.
They argue that decision theory should be extended so as to allow infinite expectation values in some situations.
A highly controversial issue is whether one can replace the use of probability in decision theory by other alternatives.
Statistical theory relies on probability and decision theory, and makes extensive use of scientific computing, analysis, and optimization;
Research projects(e.g. evidential reasoning, knowledge acquisition and representation, statistical andbiologically motivated learning paradigms, decision theory).
With areas of study like optimization and decision theory, and integrated design and manufacture, you can familiarize yourself with multiple different areas.
Going back to Nalebuff(1987), the Monty Hall problem is also much studied in the literature on game theory and decision theory, and also some popular solutions correspond to this point of view.
In classical statistical decision theory, we have an estimator δ{\displaystyle\delta} that is used to estimate a parameter θ∈ Θ{\displaystyle\theta\in\Theta}.
In recent decades, there has been increasing interest in what is sometimes called“behavioural decision theory” and this has contributed to a re-evaluation of what rational decision-making requires.
In classical statistical decision theory, we have an estimator δ{\displaystyle\delta} that is used to estimate a parameter θ∈ Θ{\displaystyle\theta\in\Theta}.
The use of Bayesian probabilities as the basis of Bayesian inference has been supported by several arguments, such as the Cox axioms, the Dutch book argument,arguments based on decision theory and de Finetti's theorem.
The prescriptions orpredictions about behaviour that positive decision theory produces allow for further tests of the kind of decision-making that occurs in practice.
Decision theory in philosophy, mathematics and statistics is concerned with identifying the values, uncertainties and other issues relevant in a given decision, its rationality, and the resulting optimal decision. .
From the standpoint of game theory, most of the problems treated in decision theory are one-player games(or the one player is viewed as playing against an impersonal background situation).
Notably, probabilistic decision theory is sensitive to assumptions about the probabilities of various events, while non-probabilistic rules such as minimax are robust, in that they do not make such assumptions.
Minimax is referred to a decision rule which is used in decision theory, statistics, game theory and philosophy, in reducing the possible loss for a worst case scenario.
In contrast, positive or descriptive decision theory is concerned with describing observed behaviors often under the assumption that the decision-making agents are behaving under some consistent rules.
In recent decades, there has been increasing interest in what is sometimes called'behavioral decision theory' and this has contributed to a re-evaluation of what rational decision-making requires.[1] What kinds of decisions need a theory? .
They cover a wide spectrum of disciplines such as decision theory, management processes, application of quantitative analysis to management problems, contributions of the behavioral sciences to functional areas of business management and relations of business organizations to socio-economic and political environments.
Minimax: The Algorithm It is a decision rule used in decision theory, game theory, statistics and philosophy for MINImizing the possible loss while MAXimizing the potential gain.
Minimax(sometimes minmax) is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case(maximum loss) scenario….
Minimax is a decision rule used in artificial intelligence, decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case(maximum loss) scenario.
Minimax: Sometimes known as MinMax or MM is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case(maximum loss) scenario.
Statistical theory relies on probability and decision theory, and makes extensive use of scientific computing, analysis, and optimization; for the design of experiments, statisticians use algebra and combinatorial design.