Distribution models
How can model comparison help improving species distribution models?
... species distribution models (correlative ...correlative models and process-based models for the current distribution of three major European tree species, Fagus sylvatica ...three ...
13
Combining remote sensing and ancillary data to improve species distribution models
... species distribution models Jessica Delangre*, Julien Radoux**, Floriane Jacquemin*, Marc Dufrêne* *University of Liège, Gembloux Agro-Bio Tech, Biodiversity and Landscape Unit **Université Catholique de ...
1
Hindcasting the impacts of land-use changes on bird communities with species distribution models of Bird Atlas data
... species distribution models (299,302 occurrences in 30,408 locations) from a hindcasting ...our models to be generalized to other times and scales) to specific functional and life-history ...our ...
17
Estimating consensus and associated uncertainty between inherently different species distribution models
... hybrid models (Morin & Lechowicz 2008; Thuiller et ...existing models, and take advantage of the strength of each ...tive models, or of models consistently producing lower- or ...
12
Transferability of species distribution models for the detection of an invasive alien bryophyte using imaging spectroscopy data
... local models, the area under the curve for a test dataset (test AUC) was between ...transfer models ranged between 0.45-0.89. For the combined models the test AUC was between ...transferring ...
81
Finding the right fit: Comparative cetacean distribution models using multiple data sources and statistical approaches
... ence models based on citizen science observations converged with models based on research survey when spatial sampling bias was accounted for in the ...species distribution models therefore ...
18
A thorough analysis of the performance of delay distribution models for IEEE 802.11 DCF
... complete distribution of the end-to-end delay in a wireless multi-hop net- work is of paramount interest when delay-sensitive flows have to be conveyed over such ...proposed models to derive the total delay ...
14
Species Distribution Modelling: Contrasting presence-only models with plot abundance data
... both models largely overlap and predict similar areas of occupancy, showing high ...that distribution maps as generated by MaxEnt should be used with ...unsupervised models, especially because their ...
13
Flexible time series models for subjective distribution estimation with monetary policy in view
... Subjective Distribution × Risk Aversion Adjustment ...subjective distribution of the short rate process yields pieces of information on the market participants’ perception of the future stance of monetary ...
29
Learning the distribution of latent variables in paired comparison models with round-robin scheduling
... Markov models with finite state spaces was established recently along with the first convergence properties of estimators of the unknown distributions, see [ 8 ] for a penalized least-squares estimator of the ...
27
Flexible time series models for subjective distribution estimation with monetary policy in view
... subjective distribution from the time series of the fed fund future ...historical distribution of futures should be close to the subjective distribution of the future short rate is empirically ...
28
Option Pricing under GARCH models with Generalized Hyperbolic distribution (II) : Data and Results
... For the last point, we compare the pricing performances of our EGARCH model Gen- eralized Hyperbolic innovations to the Black and Scholes (1973), Heston and Nandi (2000) and Bertolon, Monfort and Pegoraro (2003) ones. ...
20
Implementing a Data Distribution Variant with a Metamodel, Some Models and a Transformation
... data distribution topologies, distributed protocols and distributed protocol algorithms in the abstract implementation model of the ...data distribution variant that will be used to illustrate ...
15
Asymptotic distribution of a simple linear estimator for VARMA models in echelon form
... m=1 p lm autoregressive and k P k l=1 p l moving average free coefficients, respectively. Obviously, for the VARMA orders we have ¯ p = max (p 1 , . . . , p k ) . Note that this identified parameterization for VARMA(p, ...
37
Performances of nine models for predicting the distribution of Diabrotica virgifera virgifera (western corn rootworm)
... potential distribution and severity of clubroot of canola in the Canadian prairie region under: 1) incremental temperature and precipitation scenarios using long-term climate normal data (LCND); and 2) using three ...
43
An ns-3 distribution supporting MPTCP and MPEG-DASH obtained by merging community models
... https://github.com/vitaliipoliakov/ns3-dash-mptcp 2 SELECTING MODELS FOR MULTIPATH AND MPEG-DASH Multipath transport protocol today is represented by Mul- tipath TCP (MPTCP). Several implementations of it exist in ...
4
Contraintes réglementaires et évolution des business models: le cas de la grande distribution alimentaire française. XXIVe Conférence Internationale de Management Stratégique (AIMS)
... La figure 3 représente le processus de développement par le lancement de nouveaux business models poursuivi par les distributeurs afin de contourner les barrières réglementaires de la GDA. Le lancement de nouveaux ...
28
A new method for evaluating the impact of vertical distribution on aerosol radiative forcing in general circulation models
... different models in the same host model and then computing forcing ...spatial distribution of aerosols and clouds af- fect the forcing differences, while other factors like surface albedo, aerosol optical ...
22
On the Forward Filtering Backward Smoothing particle approximations of the smoothing distribution in general state spaces models
... The paper is organized as follows. In Section 2, the FFBSm algorithm and the FFBSi sampler are introduced. An exponential deviation inequality is first provided in Section 3 for the fixed-interval joint smoothing ...
33
Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models
... tive penalties are required to get a satisfactory fit for such curves. Graph(b) shows fitted curves obtained using the Bayesian P-splines model with adaptive penalties and a hyperprior on δ, for some iterations of the ...
30