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Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Pathological modules over tame rings [PDF]
Brenner S, Ringel CM. Pathological modules over tame rings. Journal of the London Mathematical Society.
Ringel, Claus Michael, Brenner, Sheila
core +1 more source
Implementation in Minimax Regret Equilibrium [PDF]
This note studies the problem of implementing social choice correspondences in environments where individuals have doubts about the rationality of their opponents.
Karl H. Schlag, Ludovic Renou
core
Minimax System Modelling and Design [PDF]
Computer-aided system modelling and design for minimax objectives have been considered in detail. A new algorithm for minimax approximation, called the grazor search method, has been proposed and successfully used on a number of network design ...
Srinivasan, Thandangorai
core
Professionals Do Not Play Minimax: Evidence from Major League Baseball and the National Football League [PDF]
Game theory makes strong predictions about how individuals should behave in two player, zero sum games. When players follow a mixed strategy, equilibrium payoffs should be equalized across actions, and choices should be serially uncorrelated.
Kenneth Kovash, Steven D. Levitt
core
"Minimax Empirical Bayes Ridge-Principal Component Regression Estimators" [PDF]
In this paper, we consider the problem of estimating the regression parameters in a multiple linear regression model with design matrix A when the multicollinearity is present.
Tatsuya Kubokawa, M. S. Srivastava
core
Endotrivial modules for the symmetric and alternating groups. [PDF]
In this paper we determine the group of endotrivial modules for certain symmetric and alternating groups in characteristic $p$. If $p=2$, then the group is generated by the class of $\Omega^n(k)$ except in a few low degrees.
Mazza, Nadia +2 more
core +3 more sources
What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments [PDF]
The minimax argument represents game theory in its most elegant form: simple but with stark predictions. Although some of these predictions have been met with reasonable success in the field, experimental data have generally not provided results close to
Steven D. Levitt +2 more
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Search versus Knowledge: An Empirical Study of Minimax on KRK [PDF]
This article presents the results of an empirical experiment designed to gain insight into what is the effect of the minimax algorithm on the evaluation function. The experiment’s simulations were performed upon the KRK chess endgame.
Sadikov, Aleksander +2 more
core +1 more source
On Noncooperative Games, Minimax Theorems and Equilibrium Problems [PDF]
In this chapter we give an overview on the theory of noncooperative games. In the first part we consider in detail for zero-sum (and constant-sum) noncooperative games under which necessary and sufficient conditions on the payoff function and different ...
Kassay, G., Frenk, J.B.G.
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