Results 31 to 40 of about 237 (114)

Wasserstein Regression, Forecasting, and Change‐Point Detection for Daily Traffic Flow Distributions

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 3, June 2026.
ABSTRACT We develop a distribution‐valued framework for modeling, forecasting, and monitoring traffic flow counts by treating each day as a probability distribution summarized by jittered empirical quantile signatures. Inference is conducted under the 2‐Wasserstein geometry, which in one dimension is isometric to the L2(0,1)$$ {L}^2\left(0,1\right ...
Abdolnasser Sadeghkhani
wiley   +1 more source

Covariance Estimation for Wide Data

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Covariance matrix estimation is fundamental to multivariate analysis, with applications spanning finance, genomics, climate science, and signal processing. This review synthesizes recent advances in high‐dimensional covariance estimation‐thresholding, linear and nonlinear shrinkage, graphical models, and random matrix theory‐under a unifying framework ...
Eran Raviv
wiley   +1 more source

Enhancing Artificial Neural Network Performance for Wildfire Susceptibility Mapping Using Bernstein‐Levy and Multi‐Population Differential Evolution Algorithms

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Wildfire susceptibility mapping (WSM) is critical for forest management, land‐use planning, and disaster risk mitigation. Although hybrid artificial neural network (ANN) models optimized by metaheuristic algorithms are increasingly used in susceptibility mapping, they are often evaluated without strong machine learning benchmarks, spatially ...
Talha Taşkanat
wiley   +1 more source

On convergence of a kind of complex nonlinear Bernstein operators

, 2015
The present article deals with the approximation properties and Voronovskaja type results with quantitative estimates for a certain class of complex nonlinear Bernstein operators (NB(n)f) of the form (NB(n)f)(z) = Sigma(n)(k=0) p(k,n)(z)G(n) (f (k/n)), vertical bar z vertical bar
Karslı, Harun, Ünal, Esra
openaire   +1 more source

Approximation and shape preserving properties by nonlinear Lupaş type Bernstein operators of max-product kind

Arabian Journal of Mathematics
The authors introduce nonlinear Lupaș type Bernstein operators of max-product kind based on \(q\)-integers. These operators have the endpoint interpolation property. Quasi-convexity, monotonicity and shape-preserving properties are studied.
Mohd Shanawaz Mansoori, Asif Khan, Khursheed J. Ansari   +2 more
openaire   +2 more sources

Resonant Dyakonov–Shur Magnetoplasmons in Graphene Terahertz Photodetectors

Nanophotonics, Volume 15, Issue 8, 24 April 2026.
Cavity‐confined Dyakonov–Shur plasmons in graphene evolve into magnetoplasmons by an external perpendicular magnetic field. Gate‐tunable THz photocurrent spectroscopy reveals their dispersion over a broad frequency range, uncovering a nonmonotonic behavior in monolayer graphene in contrast to the conventional response of bilayer graphene.
Juan A. Delgado‐Notario, Cedric Bray, Elsa Pérez‐Martín, Benjamin Benhamou‐Bui, Namrata Saha, Sahil Parvez, Christophe Consejo, Guillaume Sigu, Salah Benlemqwanssa, Laurent Bonnet, Takashi Taniguchi, Kenji Watanabe, José M. Caridad, Sergey S. Krishtopenko, Yahya M. Meziani, Benoit Jouault, Jérémie Torres, Sandra Ruffenach, Frédéric Teppe   +18 more
wiley   +1 more source

Machine learning and multi‐omic analysis reveal contrasting recombination landscape of A and C subgenomes of winter oilseed rape

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Meiotic recombination is essential for generating genetic diversity, driving plant evolution, and enabling crop improvement, yet its uneven distribution across genomes constrains breeding efforts. Here, we investigated the multi‐omic landmarks that shape the recombination landscape in Brassica napus by integrating epigenomic, genomic, and ...
Jose A. Montero‐Tena, Silvia F. Zanini, Gözde Yildiz, Tobias Kox, Amine Abbadi, Rod J. Snowdon, Agnieszka A. Golicz   +6 more
wiley   +1 more source

A Bernstein Operational Matrix Approach for Solving Certain Nonlinear Volterra-Fredholm Integro-Differential Equations Involved by Caputo Fractional Derivative

JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences
Background: In this article, we present a numerical method that applies the Bernstein polynomial approach in matrix form to solve non-linear integro-fractional differential equations of the Volterra-Fredholm type (NIFDEs of V-F) that involve the Caputo fractional derivative with mixed conditions.
Salih, Lavan Sdiq, Ahmed, Shazad Shawki
openaire   +2 more sources

A Voronovskaya-type theorem for a certain nonlinear Bernstein operators

, 2015
The present paper concerns with the nonlinear Bernstein operators NBnf of the form (NB(n)f)(x) = Sigma(n)(k=0) P-n,P-k (x, f (k/n)), 0
Karslı, Harun, Altın, Hüseyin Erhan
openaire   +1 more source

The Numerical Solution of Nonlinear Optimal Control Problems by Using Operational Matrix of Bernstein Polynomials [PDF]

Mathematical Analysis and Convex Optimization, 2021
Najmeh Ghaderi, Mohammad Hadi Farahi
openaire   +1 more source