Application and evaluation of a snowmelt runoff model in the Tamor River basin, Eastern Himalaya using a Markov Chain Monte Carlo (MCMC) data assimilation approach [PDF]
P. K. Panday +3 more
openalex +1 more source
Bayesian phylogenetic inference using DNA sequences: a Markov Chain Monte Carlo Method.
Ziheng Yang, B. Rannala
semanticscholar +1 more source
Temporal Dynamics of Tourism Sustainability: Economic and Environmental Evidence From Greece
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
A table of short-period Tausworthe generators for Markov chain quasi-Monte Carlo [PDF]
Shin Harase
openalex +1 more source
Parallel Metropolis coupled Markov chain Monte Carlo for Bayesian phylogenetic inference
Gautam Altekar +3 more
semanticscholar +1 more source
An improved phylogeny and revised taxonomy of Catillariaceae (Lecanoromycetes, Ascomycota)
Abstract The boundaries of the family Catillariaceae have largely remained untested through phylogenetic methods. Recent studies have led to the transfer of several genera previously classified in Catillariaceae to the newly described family Leprocaulaceae. Despite these changes, the distinction between Catillariaceae, Leprocaulaceae, and Catinariaceae
Måns Svensson +2 more
wiley +1 more source
Locating and Quantifying Methane Emissions by Inverse Analysis of Path-Integrated Concentration Data Using a Markov-Chain Monte Carlo Approach. [PDF]
Weidmann D +8 more
europepmc +1 more source
Markov Chain Monte Carlo conver-gence diagnostics: a comparative review
M. Cowles, Bradley P. Carlin
semanticscholar +1 more source
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman +2 more
wiley +1 more source

