Results 131 to 140 of about 2,690,813 (243)
An adaptive hybrid quadrature scheme: Combining Simpson's rule and Gaussian quadrature for enhanced numerical integration. [PDF]
Asgedom AA, Kefela YY.
europepmc +1 more source
A Sequential Monte Carlo Method for Bayesian Poisson Process Trees
ABSTRACT Statistical analysis of spatial point patterns often needs to deal with heterogeneous structures in intensity function estimation with possibly high‐dimensional covariate space. Likelihood based inference for spatial point process models needs to address the challenges in evaluating the multidimensional integral of random intensity function ...
Pulong Ma
wiley +1 more source
From forward-backward sweep to backpropagation for optimal control in tumor-immune dynamics. [PDF]
Zhang W, Ding W, Zhu H.
europepmc +1 more source
Abstract Spatial heterogeneity, manifested as strong variability in hydraulic conductivity (K) within geological formations, exerts a fundamental control on groundwater flow and solute transport. Because K can vary over multiple orders of magnitude in complex three‐dimensional patterns, predicting contaminant plume migration remains a long‐standing ...
Zhilin Guo +8 more
wiley +1 more source
An optimal Petrov-Galerkin framework for operator networks. [PDF]
Charles P +9 more
europepmc +1 more source
ABSTRACT Aims Adults with obesity are at increased risk of metabolic dysfunction‐associated steatotic liver disease (MASLD)‐related fibrosis, but the diagnostic performance of non‐invasive tests (NITs) in this population remains uncertain. This meta‐analysis evaluated NITs for detecting significant (≥F2) and advanced (≥F3) fibrosis in adults with ...
Patricia M. Ortega +5 more
wiley +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler +3 more
wiley +1 more source
Exploring memory effects: Sparse identification in vector-borne diseases. [PDF]
Breda D, Tanveer M, Wu J, Zhang X.
europepmc +1 more source
On multilevel quadrature for elliptic stochastic partial differential equations
In this article, we show that the multilevel Monte Carlo method for elliptic stochastic partial differential equations can be interpreted as a sparse grid approximation. By using this interpretation, the method can straightforwardly be generalized to any
Peters, Michael +2 more
core
A Lower Bound on the Altitude of the Hiroshima Firestorm Plume From Ray Optics
Abstract Projections of nuclear winter are critically sensitive to the height of soot lofted by firestorms, yet direct observations of firestorm plumes are scarce. Here, a lower bound is established for the height of the Hiroshima firestorm plume 97 min after detonation.
David M. Romps, Rusen Öktem, Zhenyu He
wiley +1 more source

