Results 41 to 50 of about 13,046,168 (188)
Energies, 2023 The authors propose an instrumental apparatus for calculating the ratings of Russian companies in the oil and gas and electric power industries based on a weighting method, risk assessment using the minimax criterion and an intellectual tree structure ...
Alex Borodin +3 more
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Optimal Grouping for Group Minimax Hypothesis Testing [PDF]
IEEE Transactions on Information Theory, 2013 Bayesian hypothesis testing and minimax hypothesis testing represent extreme instances of detection in which the prior probabilities of the hypotheses are either completely and precisely known, or are completely unknown.
Kush R. Varshney, L. Varshney
semanticscholar +1 more source
Сахарный диабет, 2021 BACKGROUND: Diabetic autonomic neuropathy is the reason for early morbidity and mortality on diabetic patients. The pathology not only cardiac innervation but microvascular is presented.AIMS: We estimated the parameters of skin microvascular blood flow ...
T. A. Zelenina +4 more
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Minimax quantum state discrimination
, 2005 We derive the optimal measurement for quantum state discrimination without a priori probabilities, i.e. in a minimax strategy instead of the usually considered Bayesian one.
D'Ariano, Giacomo Mauro +2 more
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The nilpotency of some groups with all subgroups subnormal [PDF]
, 1998 Let G be a group with all subgroups subnormal. A normal subgroup N of G is said to be G-minimax if it has a ¯nite G-invariant series whose factors are abelian and satisfy either max-G or min- G. It is proved that if the normal closure of every element of
Kurdachenko, L. A., Smith, H.
core +2 more sources
International Joint Conference on Artificial Intelligence, 2020 Networked observational data presents new opportunities for learning individual causal effects, which plays an indispensable role in decision making. Such data poses the challenge of confounding bias.
Ruocheng Guo, Jundong Li, Huan Liu
semanticscholar +1 more source
The Study of Extreme Conditions for Destructive Processes Using the SIR Model
Современные информационные технологии и IT-образование, 2020 The article focuses on a study resulted in a mathematical tool to predict the most unfavorable scenario that describes how destructive processes are being developed under given initial conditions.
Olga Korchazhkina
doaj +1 more source
On convergence rates equivalency and sampling strategies in functional deconvolution models [PDF]
, 2010 Using the asymptotical minimax framework, we examine convergence rates equivalency between a continuous functional deconvolution model and its real-life discrete counterpart over a wide range of Besov balls and for the $L^2$-risk.
Pensky, Marianna, Sapatinas, Theofanis
core +5 more sources
lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood
Journal of Statistical Software, 2020 Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the associations among a large set of variables. This paper describes an R package called lslx that implements PL methods for semi-confirmatory structural equation ...
Po-Hsien Huang
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Approximation and Parameterized Complexity of Minimax Approval Voting
, 2016 We present three results on the complexity of Minimax Approval Voting. First, we study Minimax Approval Voting parameterized by the Hamming distance $d$ from the solution to the votes. We show Minimax Approval Voting admits no algorithm running in time $\
Cygan, Marek +3 more
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