Results 51 to 60 of about 44,758 (308)

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

Evidence of introgression amid phylogenetic conflict in Brachyotum, a plant radiation from the Tropical Andes

American Journal of Botany, EarlyView.
Abstract Premise The species‐rich flora of Tropical Andes underwent multiple rapid and recent diversifications, yet resolving their evolutionary histories remains challenging despite increasing phylogenomic data. Here, we examined phylogenomic conflict in Brachyotum (Melastomataceae) to identify sources preventing its resolution.
Diego Paredes‐Burneo, Ana M. Bedoya, Fabián A. Michelangeli, Lucas C. Majure, Carmen Ulloa Ulloa, Laura P. Lagomarsino   +5 more
wiley   +1 more source

MCMC results of each parameter.

, 2023
MCMC chains (A), distributions (B), and correlation matrix (C) of all nine parameters. Results of Geweke convergence diagnostic method were shown in the top of each chain (A), and P>0.05 was diagnosed as convergent chain. The MCMC algorithm ran for 2×106
Chenxi Dai (14992770), Kaifa Wang (132453), Bo Gao (106513), Dongsheng Zhou (46401)   +3 more
core   +1 more source

Alzheimer's Disease Co‐Pathology and Cognitive Impairment in Amyotrophic Lateral Sclerosis

Annals of Neurology, EarlyView.
Objectives Amyotrophic lateral sclerosis (ALS) and Alzheimer's disease (AD) share neuropathological features, including tau, amyloid, and TDP‐43 pathology. This study investigated whether AD‐related pathological changes are associated with cognitive impairment ALS. Methods Cerebrospinal fluid (CSF total‐tau, phosphorylated‐tau, beta‐amyloid) and plasma
Elisabeth Kasper, Annaliis Lehto, Alexandra Jürs, Nina Nordmann, Oliver Peters, Julian Hellmann, Josef Priller, Eike Jakob Spruth, Gabor C. Petzold, Ina Voigt, Patrick Weydt, Sarah Bernsen, Elisabeth Dinter, Björn Falkenburger, René Günther, Emrah Düzel, Wenzel Glanz, Matthis Synofzik, Lukas Beichert, Annika Spottke, Michael Wagner, Frederic Brosseron, Matthias C. Schmid, Annett Halle, Jochen Herms, Anja Schneider, Stefan Teipel, Johannes Prudlo, Manuela Neumann, Andreas Hermann   +29 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  

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

Pregnancy‐related effect on elexacaftor, tezacaftor and ivacaftor pharmacokinetics in women with cystic fibrosis

British Journal of Clinical Pharmacology, EarlyView.
Aim The number of pregnancies among women with cystic fibrosis (wwCF) has steadily increased over the past decade. However, the pharmacokinetics (PK) of elexacaftor–tezacaftor–ivacaftor (ETI) during gestation remains uncharacterized, despite its widespread use in this population.
Paulette Magnas, Naim Bouazza, Frantz Foissac, Saïk Urien, Léo Froelicher‐Bournaud, Gabrielle Lui, Victoria Guillemart, Nicolas Carlier, Jennifer Da Silva, Johanna Fesenbeckh, Reem Kanaan, Isabelle Honoré, Clémence Martin, Jean‐Marc Treluyer, Vassilis Tsatsaris, Pierre‐Régis Burgel, Sihem Benaboud   +16 more
wiley   +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

Legacy effects of redlining on the distribution of greenspaces in US cities

Frontiers in Ecology and the Environment, EarlyView.
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo, Mason Fidino, Christopher J Schell, Marccus D Hendricks, Seth B Magle   +4 more
wiley   +1 more source