Results 51 to 60 of about 77,307 (222)
Agent-Based Computational Economics [PDF]
Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Starting from initial conditions, specified by the modeler, the computational economy evolves over time as its
Leigh Tesfatsion
core
Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik +3 more
wiley +1 more source
Computational Methods for Complex Stochastic Systems: A Review of Some Alternatives to MCMC. [PDF]
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situations they can be difficult to implement; and suffer from problems such as
Fearnhead, Paul, Paul Fearnhead
core +1 more source
Abstract Background Models trained on accelerometer data have been proposed for detecting prodromal Parkinson's disease (PD). However, uncertainties in diagnosis timing in the UK Biobank (UKBB) may affect generalizability to other cohorts. Objectives The aim of the study was to evaluate the performance of previously published models for prodromal PD ...
Fabian Kahl +15 more
wiley +1 more source
AN INTERIOR POINT ALGORITHM FOR COMPUTING EQUILIBRIA IN ECONOMIES WITH INCOMPLETE ASSET MARKETS [PDF]
Computing equilibria in general equilibria models with incomplete asset (GEI) markets is technically difficult. The standard numerical methods for computing these equilibria are based on homotopy methods.
Mercedes Esteban-Bravo
core
A Super-Algebraically Convergent, Windowing-Based Approach to the Evaluation of Scattering from Periodic Rough Surfaces [PDF]
We introduce a new second-kind integral equation method to solve direct rough surface scattering problems in two dimensions. This approach is based, in part, upon the bounded obstacle scattering method that was originally presented in Bruno et al. [2004]
Monro, John Anderson
core +1 more source
ABSTRACT The numerical approximation of nonlinear chaotic differential systems, such as the modified stretch‐twist‐fold (STF) flow and multi‐bond chaotic attractors, presents a significant challenge due to their sensitive dependence on initial conditions and complex dynamics where analytical solutions are unattainable.
Shina Daniel Oloniiju, Anastacia Dlamini
wiley +1 more source
Annual survival is a key demographic parameter driving population trends in wildlife populations. However, despite numerous species‐specific or regional studies, global reviews of the factors affecting the survival of declining taxa remain scarce. Here, we investigated annual survival of fledged immature and adult shorebirds, a globally‐distributed and
Guillaume Dillenseger +5 more
wiley +1 more source
Copyright @ 2012 Northwestern Polytechnical University and ISCIThe reliability of computational models of physical processes has received much attention and involves issues such as the validity of the mathematical models being used, the error in any ...
Warby, MK, Whiteman, JR, Shaw, S
core
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff +8 more
wiley +1 more source

