Results 91 to 100 of about 44,758 (308)
Specific operation flow of MCMC method.
China’s export benefits from the significant fiscal stimulus in the United States. This paper analyzes the global spillover effect of the American economy on China’s macro-economy using the Markov Chain Monte Carlo (MCMC)-Gibbs sampling approach, with ...
Jiamu Hu (17334114)
core +1 more source
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
SPDE limits of the random walk Metropolis algorithm in high dimensions [PDF]
Diffusion limits of MCMC methods in high dimensions provide a useful theoretical tool for studying efficiency. In particular they facilitate precise estimates of the number of steps required to explore the target measure, in stationarity, as a ...
Mattingly, Jonathan C. +2 more
core
MCMC Sampling Statistical Method to Solve the Optimization
This paper designs a class of generalized density function and from which proposed a solution method for the multivariable nonlinear optimization problem based on MCMC statistical sampling.
Teng Zhong Rong, Zhi Xiao
core +1 more source
Detection of the quality of vital signals by the Monte Carlo Markov Chain (MCMC) method and noise deleting. [PDF]
Vajargah KF, Benis SG, Golshan HM.
europepmc +1 more source
The Irano‐Turanian Floristic Region harbors a rich flora, but our understanding of the development of this diversity is limited by a lack of data on phylogenetic relationships and biogeographic patterns of endemic and more widespread plants. Hypotheses of in situ diversification versus allopatric diversification were tested using Iris subgen. Scorpiris,
Mona Salimbahrami +4 more
wiley +1 more source
Prior information of parameters for MCMC method based on MATLAB toolbox.
Prior information of parameters for MCMC method based on MATLAB toolbox.
Chenxi Dai (14992770) +3 more
core +1 more source
Precision of methods for calculating identity-by-descent matrices using multiple markers
A rapid, deterministic method (DET) based on a recursive algorithm and a stochastic method based on Markov Chain Monte Carlo (MCMC) for calculating identity-by-descent (IBD) matrices conditional on multiple markers were compared using stochastic ...
Sørensen Anders +3 more
doaj +1 more source
Amanita theophili sp. nov. (Amanitaceae) from central Mexico
Amanita theophili sp. nov., a member of Amanita sect. Amidella (Amanitaceae), is described from temperate pine‐oak forests in Morelos, central Mexico. Morphological features and phylogenetic analyses based on ITS and 28S rDNA sequences confirm its distinct taxonomic status. The new species is morphologically similar to A. peckiana and A.
Evangelina Pérez‐Silva +1 more
wiley +1 more source
Bayesian Spectral Estimation Applied to Echo Signals from Nonlinear Ultrasound Scatterers [PDF]
The understanding and exploitation of acoustic echo signals from nonlinear ultrasound scatterers is an active research area that aims to improve the sensitivity and specificity of diagnostic imaging.
James R. Hopgood +9 more
core +1 more source

