Results 21 to 30 of about 71,119 (185)
Generic singularities of minimax solutions to Hamilton--Jacobi equations [PDF]
, 2004 Minimax solutions are weak solutions to Cauchy problems involving Hamilton--Jacobi equations, constructed from generating families quadratic at infinity of their geometric solutions.
Capitanio, Gianmarco
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Решение задачи минимаксного адаптивного управления расходом топлива жидкостной ракеты-носителя
Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение, 2019 Предлагается математическая формализация и метод решения задачи минимаксного (гарантированного) адаптивного терминального управления расходом топлива двигательной установки (ДУ) жидкостной ракеты-носителя (ЖРН).
А. Ф. Шориков +1 more
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Minimaxity, Statistical Thinking and Differential Privacy
The Journal of Privacy and Confidentiality, 2012 We discuss the role of minimax statistical theory for privacy theory. Minimax theory gives a way to measure information loss for sanitized databases.
Larry Wasserman
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A Lower-Bound for the Maximin Redundancy in Pattern Coding
Entropy, 2009 We show that the maximin average redundancy in pattern coding is eventually larger than 1.84 (n/log n)1/3 for messages of length n. This improves recent results on pattern redundancy, although it does not fill the gap between known lower- and upper ...
Aurélien Garivier
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Minimax Context Principle [PDF]
, 2020 I show how space-like structures emerge within the topos-based approach to quantum mechanics. With a physical system, or, more generally, with an operationalistic setup a context category is associated being in fact an ordered collection of contexts. Each context, in turn, is associated with certain configuration space. The minimax context principle is
openaire +2 more sources
Objective Bayesianism and the Maximum Entropy Principle
Entropy, 2013 Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabilities; they should be calibrated to our evidence of physical probabilities; and they should otherwise equivocate sufficiently between the basic ...
Jon Williamson, Jürgen Landes
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Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices [PDF]
, 2015 This paper considers sparse spiked covariance matrix models in the high-dimensional setting and studies the minimax estimation of the covariance matrix and the principal subspace as well as the minimax rank detection.
Cai, Tony, Ma, Zongming, Wu, Yihong
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Super-replication of the best pairs trade in hindsight
Cogent Economics & Finance, 2019 This paper derives a robust online equity trading algorithm that achieves the greatest possible percentage of the final wealth of the best pairs rebalancing rule in hindsight.
Alex Garivaltis
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Minimax lower bounds for function estimation on graphs [PDF]
, 2018 We study minimax lower bounds for function estimation problems on large graph when the target function is smoothly varying over the graph. We derive minimax rates in the context of regression and classification problems on graphs that satisfy an ...
Kirichenko, Alisa, van Zanten, Harry
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Game-Theoretic Optimal Portfolios for Jump Diffusions
Games, 2019 This paper studies a two-person trading game in continuous time that generalizes Garivaltis (2018) to allow for stock prices that both jump and diffuse.
Alex Garivaltis
doaj +1 more source