Results 51 to 60 of about 6,417 (238)

Chaotic Artificial Rabbits Optimization for Minimax Problems

open access: yesMathematical and Computational Applications
Numerous engineering problems can be represented as minimax optimization problems, including machine learning, classification, robust optimal control, signal processing, game theory, and more.
Amira A. Allam   +2 more
doaj   +1 more source

Boundary Value Problem for a Second-Order Difference Equation with Resonance

open access: yesComplexity, 2020
In this paper, we study the existence and multiplicity of nontrivial solutions of a second-order discrete boundary value problem with resonance and sublinear or superlinear nonlinearity.
Zhenguo Wang, Zhan Zhou
doaj   +1 more source

Bayesian Inference for Multivariate Monotone Densities

open access: yesScandinavian Journal of Statistics, EarlyView.
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley   +1 more source

Minimax Lower Bounds for Uniform Estimation of Covariate-Dependent Copula Parameters

open access: yesMathematics
Local likelihood methods are widely used to estimate calibration functions in conditional copula models. Recent work has established uniform stochastic equicontinuity and uniform convergence rates for local likelihood estimators of covariate-dependent ...
Mathias Nthiani Muia   +2 more
doaj   +1 more source

SMAA‐Based FITradeoff: An Efficient Framework for Pairwise Elicitation in Multicriteria Decision Analysis

open access: yesJournal of Multi-Criteria Decision Analysis, Volume 33, Issue 2, August 2026.
ABSTRACT The Flexible and Interactive Tradeoff Elicitation (FITradeoff) method is a Multi‐Attribute Decision‐Making (MADM) approach designed to capture the preferences of a Decision Maker (DM) while minimising cognitive effort. To reduce the frequency of interactions and optimise the preference elicitation process, this paper introduces an innovative ...
Qian Zhao   +3 more
wiley   +1 more source

Minimax principles for critical-point theory in applications to quasilinear boundary-value problems

open access: yesElectronic Journal of Differential Equations, 2000
Using the variational method developed by the same author in [7], we establish the existence of solutions to the equation $-Delta_p u = f(x,u)$ with Dirichlet boundary conditions.
A. R. El Amrouss, M. Moussaoui
doaj  

Geometric Planted Matchings Beyond the Gaussian Model

open access: yesRandom Structures &Algorithms, Volume 68, Issue 4, July 2026.
ABSTRACT We consider the problem of recovering an unknown matching between a set of n$$ n $$ randomly placed points in ℝd$$ {\mathbb{R}}^d $$ and random perturbations of these points. This can be seen as a model for particle tracking and more generally, entity resolution.
Lucas R. Schwengber, Roberto I. Oliveira
wiley   +1 more source

"Minimax Empirical Bayes Ridge-Principal Component Regression Estimators" [PDF]

open access: yes
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  

Advancing Marine Bioacoustics With Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection

open access: yesMarine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese   +3 more
wiley   +1 more source

An Interior-Point algorithm for Nonlinear Minimax Problems [PDF]

open access: yes
We present a primal-dual interior-point method for constrained nonlinear, discrete minimax problems where the objective functions and constraints are not necessarily convex.
E. Obasanjo, G. Tzallas-Regas, B. Rustem
core  

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