Results 81 to 90 of about 51,976 (170)
Likelihood Estimation for Stochastic Differential Equations with Mixed Effects
Scandinavian Journal of Statistics, EarlyView.ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios +2 more
wiley +1 more source
Repelled Point Processes With Application to Numerical Integration
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat +3 more
wiley +1 more source
International Journal for Numerical Methods in Fluids, Volume 98, Issue 6, Page 709-730, June 2026.We introduce an efficient open‐source numerical framework for the automated search for the placements of injection and production wells in hot fracture‐controlled reservoirs that sustainably optimize geothermal energy production. We model the reservoirs as discrete fracture networks in 3D. The fluid flow and heat transport in the reservoirs are modeled
Ondřej Pártl, Ernesto Meneses Rioseco
wiley +1 more source
JOR SPINE, Volume 9, Issue 2, June 2026.Intradiscal C. acnes injection sustained MC1‐like lesions with persistent neutrophil sustenance in an etiology‐specific lumbar MC rat model. This suggests that patients with bacterial MC etiology may persist in painful MC1, highlighting C. acnes and neutrophils as potential targets to promote MC1‐to‐MC2 conversion and improve pain and disability ...
Irina Heggli +12 more
wiley +1 more source
NMR in Biomedicine, Volume 39, Issue 6, June 2026.We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
wiley +1 more source
Iterative Krylov Subspace Methods for Linear Port‐Hamiltonian Systems
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT In this work, we present a structure‐preserving Krylov subspace iteration scheme for solving the equation systems that arise from the Gauss integration of linear energy‐conserving and dissipative differential systems (e.g., Poisson systems, gradient systems, and port‐Hamiltonian systems).
Stefan Maier, Nicole Marheineke
wiley +1 more source
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT In this work, we present an anisotropic multi‐goal error control based on the dual weighted residual (DWR) method for time‐dependent convection–diffusion–reaction (CDR) equations. Motivated by former work, we combine multiple goals to single error functionals with weights chosen as algorithmic parameters.
Markus Bause +5 more
wiley +1 more source
International Journal of Quantum Chemistry, Volume 126, Issue 10, May 15, 2026.At infinite separation, a diatomic molecule reduces to two noninteracting subsystems. The electron density decomposes into atomic densities, while the Rényi entropy functional reveals both additive atomic contributions and nonadditive terms. None of these terms contains any trace of the presence of static correlation effects, particularly important in ...
Diogo J. L. Rodrigues +2 more
wiley +1 more source
Symbol‐Level GRAND‐Assisted Detection for Polar‐Coded Spatial Modulation in MIMO Systems
International Journal of Communication Systems, Volume 39, Issue 7, 10 May 2026.This research presents an integrated polar‐coded spatial modulation (PCSM) transceiver scheme for MIMO transmission over Rayleigh fading channels. The proposed architecture employs linear spatial signal processing for antenna and symbol estimation, followed by symbol‐level guessing random additive noise decoding (symbol‐level GRAND)–assisted detection ...
Abhilasha Gautam +2 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source