Results 41 to 50 of about 38,389 (265)

Fast genomic prediction of breeding values using parallel Markov chain Monte Carlo with convergence diagnosis

BMC Bioinformatics, 2018
Background Running multiple-chain Markov Chain Monte Carlo (MCMC) provides an efficient parallel computing method for complex Bayesian models, although the efficiency of the approach critically depends on the length of the non-parallelizable burn-in ...
Peng Guo, Bo Zhu, Hong Niu, Zezhao Wang, Yonghu Liang, Yan Chen, Lupei Zhang, Hemin Ni, Yong Guo, El Hamidi A. Hay, Xue Gao, Huijiang Gao, Xiaolin Wu, Lingyang Xu, Junya Li   +14 more
doaj   +1 more source

Simulation of the Energy Efficiency Auction Prices via the Markov Chain Monte Carlo Method

Energies, 2020
Over the years, electricity consumption behavior in Brazil has been analyzed due to financial and social problems. In this context, it is important to simulate energy prices of the energy efficiency auctions in the Brazilian electricity market.
Javier Linkolk López-Gonzales, Reinaldo Castro Souza, Felipe Leite Coelho da Silva, Natalí Carbo-Bustinza, Germán Ibacache-Pulgar, Rodrigo Flora Calili   +5 more
doaj   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

IMPLEMENTASI METODE MARKOV CHAIN MONTE CARLO DALAM PENENTUAN HARGA KONTRAK BERJANGKA KOMODITAS

E-Jurnal Matematika, 2015
The aim of the research is to implement Markov Chain Monte Carlo (MCMC) simulation method to price the futures contract of cocoa commodities. The result shows that MCMC is more flexible than Standard Monte Carlo (SMC) simulation method because MCMC ...
PUTU AMANDA SETIAWANI, KOMANG DHARMAWAN, I WAYAN SUMARJAYA   +2 more
doaj  

Linking community structure and climate vulnerability in desert plant assemblages of southern California

American Journal of Botany, EarlyView.
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate, Luis E. Barrios, Danelle A. Baronia, G. Darrel Jenerette, Lynn C. Sweet   +4 more
wiley   +1 more source

label.switching: An R Package for Dealing with the Label Switching Problem in MCMC Outputs

Journal of Statistical Software, 2016
Label switching is a well-known and fundamental problem in Bayesian estimation of mixture or hidden Markov models. In case that the prior distribution of the model parameters is the same for all states, then both the likelihood and posterior distribution
Panagiotis Papastamoulis
doaj   +1 more source

To MCMC or not to MCMC: Evaluating non-MCMC methods for Bayesian penalized regression

Markov Chain Monte Carlo (MCMC) sampling is computationally expensive, especially for complex models. Alternative methods make simplifying assumptions about the posterior to reduce computational burden, but their impact on predictive performance remains unclear.
van Leeuwen, Florian D., van Erp, Sara
openaire   +2 more sources

Molecular methods for differentiating Phragmites australis subspecies and identification of hybrid stands in the Upper Midwestern United States

Applications in Plant Sciences, EarlyView.
Abstract Premise In North America, Phragmites australis (common reed) has drawn a great deal of research attention. Non‐native P. australis subsp. australis is a noxious weed that has locally displaced native P. australis subsp. americanus in some areas.
Nicholas P. Tippery, Daniel J. Larkin, Julia Bohnen, Douglas L. Wendell, Neil O. Anderson, Susan M. Galatowitsch, Marie Abbey, Alan G. Smith, Andrzej K. Noyszewski   +8 more
wiley   +1 more source

Efficient Markov chain Monte Carlo sampling for electrical impedance tomography

Computer Assisted Methods in Engineering and Science, 2017
This paper studies electrical impedance tomography (EIT) using Bayesian inference [1]. The resulting posterior distribution is sampled by Markov chain Monte Carlo (MCMC) [2]. This paper studies a toy model of EIT as the one presented in [3], and focuses
Erfang Ma
doaj   +1 more source