Results 121 to 130 of about 44,758 (308)

Temporal Dynamics of Tourism Sustainability: Economic and Environmental Evidence From Greece

open access: yesSustainable 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

Application of the MCMC Method for the Calibration of DSMC Parameters [PDF]

open access: yes, 2020
. A Markov Chain Monte Carlo (MCMC) algorithm was employed to obtain a calibrated distribution for the hard sphere diameter, VHS reference diameter, and the temperature viscosity exponent of argon, for use in the Direct Simulation Monte Carlo (DSMC ...
James S Strand, David B Goldstein
core  

Does Economic Growth Drive Equitable Water and Sanitation Access? Assessing Inequality Reduction Across 64 Nations

open access: yesSustainable Development, EarlyView.
ABSTRACT This article examines whether economic growth reduces inequalities in access to water and sanitation across 64 countries over an average period of 13.5 years. Drawing on disaggregated data by income quintiles and rural–urban location, and employing ordinary least squares (OLS), two‐stage least squares (2SLS), and Seemingly Unrelated Regression
Marcos García‐López   +2 more
wiley   +1 more source

The Extended Hodrick-Prescott (HP) Filter for Spatial Regression Smoothing [PDF]

open access: yes
The Hodrick-Prescott (HP) method is a popular smoothing method for economic time series to get a longterm component of stationary series like growth rates. The new extended HP smoothing model is applied to data-sets with an underlying metric and requires
Wolfgang Polasek
core  

Energy Dependence, Energy Import Diversification, and Institutional Quality: Heterogeneous Impacts on Sustainable Economic Development in the European Union

open access: yesSustainable 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

Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

open access: yesWildlife 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

An adaptive sequential Monte Carlo sampler [PDF]

open access: yes, 2013
Sequential Monte Carlo (SMC) methods are not only a popular tool in the analysis of state–space models, but offer an alternative to Markov chain Monte Carlo (MCMC) in situations where Bayesian inference must proceed via simulation.
Fearnhead, Paul, Taylor, Benjamin M.
core  

Use in practice of importance sampling for repeated MCMC for Poisson models: IS for repeated MCMC for Poisson models

open access: yes, 2010
International audienceAbstract: The Importance Sampling method is used as an alternative approach to MCMC in repeated Bayesian estimations. In the particular context of numerous data sets, MCMC algorithms have to be called on several times which may ...
Rousseau, Judith   +6 more
core   +1 more source

Simulation of multi-criteria mean Clustering method for satellite imagery of Bogd Khan mountain of Mongolia

open access: yesProceedings of the Mongolian Academy of Sciences
Traditionally, a variety of unsupervised methods have been used for analyzing remotely-sensed imagery. Although popular clustering techniques such as K-means, Mini-Batch K-means, and Fuzzy C-means are widely applied, their classification accuracy is ...
Bayanjargal Darkhijav   +3 more
doaj   +1 more source

Assessing the utility of autonomous recording units and spring point counts for monitoring abundance of ruffed grouse Bonasa umbellus

open access: yesWildlife 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

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