Results 131 to 140 of about 2,604,808 (287)

Practical guidelines for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC). [PDF]

Open Res Eur, 2023
Barido-Sottani J, Schwery O, Warnock RCM, Zhang C, Wright AM.   +4 more
europepmc   +1 more source

Waves of range dynamics and gene flow characterize the biogeographic history of Litsea elongata, a dominant tree in East Asian evergreen broadleaved forests

PLANTS, PEOPLE, PLANET, EarlyView.
Evergreen broadleaved forests (EBLFs) represent an iconic vegetation type in subtropical montane East Asia, but they are experiencing intensifying anthropogenic pressure and increasing habitat fragmentation. Here, using a dominant and widespread tree species characteristic of East Asian EBLFs, we examine its phylogeographic history and evaluate what it
Sheng‐Yuan Qin, Richard H. Ree, Zheng‐Yu Zuo, Chih‐Chieh Yu, Shuang‐Xiu Xu, Jun Rong, Peng‐Fei Ma, De‐Zhu Li   +7 more
wiley   +1 more source

Ideal-Observer Computation with anthropomorphic phantoms using Markov chain Monte Carlo. [PDF]

Proc IEEE Int Symp Biomed Imaging, 2022
Rahman MA, Yu Z, Jha AK.
europepmc   +1 more source

Maximum Working Likelihood Inference with Markov Chain Monte Carlo

, 2007
this paper, we describe a method for obtaining frequency based maximum working likelihood (MWL) inference in the presence of missing data which does not require integration of the conditional likelihood.
Daode Huang, Jeffrey A. Douglas, Markov Chain Monte Carlo, Michael Kosorok   +3 more
core  

Strong differentiation between source and ex situ populations of rare plant species revealed by next‐generation sequencing

PLANTS, PEOPLE, PLANET, EarlyView.
Biodiversity is being lost rapidly worldwide due to factors such as climate change and habitat loss. To help safeguard plant populations, conservation strategies include seed banks and conservation cultures. However, it remains unclear how cultivation affects genetic variation compared with wild populations.
Maximilian Alexander Steurer, Ellen Gradl, Lena Winkler, Christoph Reisch   +3 more
wiley   +1 more source

"Computing Densities: A Conditional Monte Carlo Estimator" [PDF]

We propose a generalized conditional Monte Carlo technique for computing densities in economic models. Global consistency and functional asymptotic normality are established under ergodicity assumptions on the simulated process.
Huiyu Li, John Stachurski, Richard Anton Braun   +2 more
core   +2 more sources

NeuMC — A package for neural sampling for lattice field theories

SoftwareX
We present the NeuMC software package aimed at facilitating the research on neural samplers in lattice field theories. Neural samplers based on normalizing flows are becoming increasingly popular in the context of Monte–Carlo simulations as they can ...
Piotr Białas, Piotr Korcyl, Tomasz Stebel, Dawid Zapolski   +3 more
doaj   +1 more source

Use of the reversible jump Markov chain Monte Carlo algorithm to select multiplicative terms in the AMMI-Bayesian model. [PDF]

PLoS One, 2023
Silva CPD, Mendes CTE, Silva AQD, Oliveira LA, Von Pinho RG, Balestre M.   +5 more
europepmc   +1 more source

First genome sequence of a European Alternaria brassicae isolate and genes involved in early development of alternaria leaf spot on Brassica juncea

Pest Management Science, EarlyView.
This article reports the first genome sequence of a UK Alternaria brassicae isolate. Dual RNA‐sequencing profiling of A. brassicae‐infected Brassica juncea leaves identified differentially expressed genes involved in pathogenicity and host response pathways in moderately resistant Sej‐2 (2) and moderately susceptible Pusa Jaikisan cultivars.
Kevin M. King, Graham McLaughlin, Chinthani S. Karandeni Dewage, Zedi Gao, David J. Hughes, Jonathan S. West, Henrik U. Stotz   +6 more
wiley   +1 more source

Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo. [PDF]

J Synchrotron Radiat, 2022
Jiang Z, Wang J, Tirrell MV, de Pablo JJ, Chen W.   +4 more
europepmc   +1 more source