Results 31 to 40 of about 132,359 (288)
EM algorithm for Bayesian estimation of genomic breeding values
Background In genomic selection, a model for prediction of genome-wide breeding value (GBV) is constructed by estimating a large number of SNP effects that are included in a model.
Iwata Hiroyoshi, Hayashi Takeshi
doaj +1 more source
Particle filter has received increasing attention in data assimilation for estimating model states and parameters in cases of non-linear and non-Gaussian dynamic processes.
Alaa Jamal, Raphael Linker
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An MCMC Fitting Method for Triaxial Dark Matter Haloes [PDF]
Measuring the 3D distribution of mass on galaxy cluster scales is a crucial test of the LCDM model, providing constraints on the behaviour of dark matter. Recent work investigating mass distributions of individual galaxy clusters (e.g.
Bahcall +36 more
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Efficient Bayesian Inverse Modeling of Water Infiltration in Layered Soils
Modeling water movement in heterogeneous soils, e.g., layered soils, is an essential but challenging task that requires accurate estimation of multiple sets of soil hydraulic parameters.
Hongbei Gao +6 more
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A note on marginal posterior simulation via higher-order tail area approximations [PDF]
We explore the use of higher-order tail area approximations for Bayesian simulation. These approximations give rise to an alternative simulation scheme to MCMC for Bayesian computation of marginal posterior distributions for a scalar parameter of ...
Ruli, Erlis +2 more
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Passive Multipath Time Delay Estimation Using MCMC Methods [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Jing +4 more
openaire +2 more sources
Phylogenetic estimation is, and has always been, a complex endeavor. Estimating a phylogenetic tree involves evaluating many possible solutions and possible evolutionary histories that could explain a set of observed data, typically by using a model of ...
Orlando Schwery +4 more
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Diffusive Nested Sampling [PDF]
We introduce a general Monte Carlo method based on Nested Sampling (NS), for sampling complex probability distributions and estimating the normalising constant.
Brewer, Brendon J. +2 more
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Longitudinal Data Analysis Based on Bayesian Semiparametric Method
A Bayesian semiparametric model framework is proposed to analyze multivariate longitudinal data. The new framework leads to simple explicit posterior distributions of model parameters.
Guimei Jiao +8 more
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Friction-Identification of Harmonic Drive Joints Based on the MCMC Method
Although harmonic drives have been adopted by all sorts of industrial environments, the mathematical expression of its dynamics has not yet been fully solved.
Qi Wang +5 more
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