Results 111 to 120 of about 44,986 (305)
Temporal Dynamics of Tourism Sustainability: Economic and Environmental Evidence From Greece
Sustainable Development, EarlyView.ABSTRACT Tourism is a resource‐intensive sector that generates substantial economic benefits while exerting long‐term pressure on energy systems and the environment. This study examines the sustainability of tourism in Greece by analyzing how tourism growth affects economic performance, energy consumption, and carbon emissions across different time ...
Stylianou Tasos
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT Energy dependence poses significant risks for economic development, particularly in regions that rely heavily on imported fossil fuels. This paper examines how energy dependence and energy import diversification influence economic development across 27 European Union countries between 2000 and 2022. Using IV‐GMM and panel quantile regressions,
Mehmet Pinar
wiley +1 more source
Irreducibility and efficiency of ESIP to sample marker genotypes in large pedigrees with loops
Genetics Selection Evolution, 2002 Markov chain Monte Carlo (MCMC) methods have been proposed to overcome computational problems in linkage and segregation analyses. This approach involves sampling genotypes at the marker and trait loci.
Schelling Matthias +5 more
doaj +1 more source
Zero variance in Markov chain Monte Carlo with an application to credit risk estimation [PDF]
We propose a general purpose variance reduction technique for Markov Chain Monte Carlo estimators based on the Zero-Variance principle introduced in the physics lit- erature by Assaraf and Caarel ( 1999). The potential of the new idea is illustrated with
Tenconi Paolo
core
Sustainable Development, EarlyView.ABSTRACT Nitrogen (N) application creates negative externalities via nitrate (NO3−) leaching that threatens human health and the emission of nitrous oxide (N2O), a potent greenhouse gas. This study determines socially optimal nitrogen application rates (SONR) for corn and wheat by considering the social costs of both pollutants. The assessment includes
Riza Radmehr, B. Wade Brorsen
wiley +1 more source
JaxSGMC: Modular stochastic gradient MCMC in JAX
SoftwareXWe present JaxSGMC, an application-agnostic library for stochastic gradient Markov chain Monte Carlo (SG-MCMC) in JAX. SG-MCMC schemes are uncertainty quantification (UQ) methods that scale to large datasets and high-dimensional models, enabling ...
Stephan Thaler +3 more
doaj +1 more source
Wildlife Biology, EarlyView.Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh +4 more
wiley +1 more source
Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]
We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the Expectation- Maximization (EM) algorithm and its Monte Carlo variants.
Davy, Manuel +2 more
core +1 more source
Wildlife Biology, EarlyView.The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey +5 more
wiley +1 more source
Quantitative non-geometric convergence bounds for independence samplers [PDF]
, 2009 Markov chain Monte Carlo (MCMC) algorithms are widely used in statistics, physics, and computer science, to sample from complicated high-dimensional probability distributions.
Rosenthal, Jeffrey S. (Jeffrey Seth) +1 more
core