Results 61 to 70 of about 338 (205)
A Bayesian approach to spectroscopic depth sectioning for locating dopant atoms
Journal of Microscopy, EarlyView.Abstract Locating dopants in 3D is of great interest as advanced materials and devices increasingly rely on control at atomic dimensions, and microscopy tools are constantly in development for this purpose. One potential tool is electron energy loss spectroscopy (EELS) depth sectioning, where a core‐loss signal is collected as a function of electron ...
Michael Deimetry +3 more
wiley +1 more source
The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach
Journal of Time Series Analysis, EarlyView.ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
wiley +1 more source
Optimal Portfolio Choice With Cross‐Impact Propagators
Mathematical Finance, EarlyView.ABSTRACT We consider a class of optimal portfolio choice problems in continuous time where the agent's transactions create both transient cross‐impact driven by a matrix‐valued Volterra propagator, as well as temporary price impact. We formulate this problem as the maximization of a revenue‐risk functional, where the agent also exploits available ...
Eduardo Abi Jaber +2 more
wiley +1 more source
Introducing RGBeta: a Mathematica package for the evaluation of renormalization group β -functions. [PDF]
Eur Phys J C Part Fields, 2021 Thomsen AE.
europepmc +1 more source
Fully Modified GLS Estimation for Seemingly Unrelated Cointegrating Polynomial Regressions
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT A new feasible generalized least squares estimator is proposed. Our estimator incorporates (1) the inverse autocovariance matrix of multidimensional errors, and (2) second‐order bias corrections. The resulting estimator has the intuitive interpretation of applying a weighted least squares objective function to filtered data series.
Yicong Lin, Hanno Reuvers
wiley +1 more source
Dimension reduction for optimal design problems with Kronecker product structure
Scandinavian Journal of Statistics, EarlyView.Abstract This paper is motivated by the problem of optimal allocation of trials in multi‐environment crop variety testing with a large number of varieties. Optimizing the allocation of trials results in the minimization of a design criterion with a Kronecker product structure in the information matrix.
Taras Bodnar, Maryna Prus
wiley +1 more source
Numerical simulation data and FORTRAN code to compare the stress response of two transversely isotropic hyperelastic models in ABAQUS. [PDF]
Data Brief, 2022 Castillo-Méndez C, Ortiz A.
europepmc +1 more source
A priori bounds for the generalised parabolic Anderson model
Communications on Pure and Applied Mathematics, Volume 79, Issue 5, Page 1315-1394, May 2026.Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra +2 more
wiley +1 more source
What If Each Voxel Were Measured With a Different Diffusion Protocol?
Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2277-2290, April 2026.ABSTRACT Purpose Expansion of diffusion MRI (dMRI) both into the realm of strong gradients and into accessible imaging with portable low‐field devices brings about the challenge of gradient nonlinearities. Spatial variations of the diffusion gradients make diffusion weightings and directions non‐uniform across the field of view, and deform perfect ...
Santiago Coelho +7 more
wiley +1 more source
Lobachevskii Journal of MathematicsWe introduce two novel techniques that simplify calculation of Jordan-Kronecker invariants for a Lie algebra $\mathfrak{g}$ and for a Lie algebra representation $ρ$. First, the stratification of matrix pencils under strict equivalence puts restrictions on the Jordan-Kronecker invariants.
openaire +2 more sources