stochastic spatially explicit model
Characterization of the dispersal of non-domiciliated Triatoma dimidiata through the selection of spatially explicit models.
... the model as indicated by the relationship between predicted values and abundance data during the first year of field collections that were used to estimate the model ...the model given by the ...
12
A multiscale study of stochastic spatially-extended conductance-based models for excitable systems
... to model various situation such as motor molecular models [FGC08] and neuron models ...made explicit in terms of the invariant measures of finite dimensional ...
203
Simulating spatially-explicit crop dynamics of agricultural landscapes: The ATLAS simulator
... the model to each field in the ...the model for each rotation, with the criteria of having a land use contained in the crop ...The model then assigns each rotation (following the order defined in the ...
20
Estimating and interpreting migration of Amazonian forests using spatially implicit and semi-explicit neutral models
... Whether stochastic or deterministic processes govern species distri- bution has been a long- standing debate, starting with the equilibrium versus nonequilibrium theories more than 25 years ago (DeAngelis & ...
13
Metapopulation Dynamics and Biological Invasions: A Spatially Explicit Model Applied to a Freshwater Snail
... 770 The American Naturalist Habitat fragmentation, when discrete patches of suitable habitat are separated by an unsuitable matrix, is also rep- resented in metapopulation models (Levins 1969; Higgins and Richardson ...
16
A resilience model based on Stochastic Poison Process
... Abstract Critical Infrastructure (CI) Preparedness and Resilience modelling, simulation & analysis (MS&A) is a major issue in CI protection (CIP) and crisis management. This is due to the rapid growth of the ...
12
An unified framework to integrate biotic, abiotic processes and human activities in spatially explicit models of agricultural landscapes
... met. Model Design Challenge Our conceptual framework should be considered as an initial step toward the integration of landscape modeling ...to model an agricultural landscape with a given set of objectives ...
8
Statistical Model Checking for Stochastic Hybrid Systems
... For PTAs clocks evolve with fixed rates depending only on the discrete state of the model, i.e. loca- tions and discrete variables. In this paper, we present and implement an extension of the modelling for- malism ...
16
Stochastic Fluid Model for P2P Caching Evaluation
... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Futurs : Parc Club Orsay Université - ZAC des Vi[r] ...
29
Stochastic modeling for biotechnologies Anaerobic model AM2b
... The model AM2b is conventionally represented by a system of differential ...this model is valid only in a large population context and our objective is to establish sev- eral stochastic models at ...
12
Stochastic thermodynamic integration: efficient Bayesian model selection via stochastic gradient MCMC
... Fig. 3 shows the results. It can be seen that the estimates ob- tained by both methods are similar, especially near the mode. Sim- ilarly to the previous set of experiments, the discrepancy between these estimates ...
6
An explicit dissipative model for isotropic hard magnetorheological elastomers
... analytical model up-to-date that takes into account the magnetic dissipation on the magneto-mechanical response of h-MREs at finite strains and arbitrary proportional and non-proportional magnetic ...a ...
38
HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions. I. Carbon fluxes and tree dimensional growth.
... options that could potentially enhance the resilience and adaptive capacity of forests cannot be tested in situ (Cantarello et al., 2017). Furthermore, such silvicultural trials would provide results only in the long run ...
49
Stochastic Fluid Dynamic Model and Dimensional Reduction
... the model is completely ...relevant stochastic represen- tation of the small scale component, work quite well, even though no learning or tuning was ...
7
Combined stochastic and transfer model for atmospheric radiation
... this model if: the term due to attenuated sky radiation is predominant in the radiation model; the in
uence of ground re
ectance, clear sky beam and di use transmittances are subordinate, and the ...
12
Extreme Distribution of a Generalized Stochastic Volatility Model,
... are not correlated with each other for all t. For simplicity here we will assume independence between the two sequences. The model can pick up the kind of asymmetric behavior which is often found in stock prices, ...
23
Stochastic ensemble climate forecast with an analogue model
... We have tested the performance of the system to simulate an NAO index and temperature variations in five European stations. The performance of such a system cannot beat a meteorological or seasonal forecast with a ...
13
HEAVY TAILS FOR AN ALTERNATIVE STOCHASTIC PERPETUITY MODEL
... ALTERNATIVE STOCHASTIC PERPETUITY MODEL THOMAS MIKOSCH, MOHSEN REZAPOUR, AND OLIVIER WINTENBERGER ...a stochastic model of perpetuity- ...perpetuity model of Kesten [12] and Goldie [8] ...
30
A Lagrangian Stochastic Model for the concentration fluctuations
... Lagrangian Stochastic Model for the two- particles dispersion, aiming at simulating the pollutant con- centration fluctuations, is ...Three model versions (1-D, 2-D and 3-D) are ...the model ...
8
A new spatially resolved model for defects and fission gas bubbles interactions
... | PAGE 5 • Evans further proposed a model for the quantitative assessment of this mechanism, however, his model is not mechanistic. * J. H. Evans, The role of directed bubble diffusion to grain boundaries ...
19