Results 31 to 40 of about 29,218,928 (220)
Passive Multipath Time Delay Estimation Using MCMC Methods [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Jing +4 more
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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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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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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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In order to evaluate the competitive advantages and dependability of two products in a competitive environment, comparative lifespan testing becomes essential.
Mustafa M. Hasaballah +3 more
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Because of modern technology, product reliability has increased, making it more challenging to evaluate products in real-world settings and raising the cost of gathering sufficient data about a product's lifetime.
Neama Salah Youssef Temraz
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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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A framework for adaptive MCMC targeting multimodal distributions [PDF]
We propose a new Monte Carlo method for sampling from multimodal distributions. The idea of this technique is based on splitting the task into two: finding the modes of a target distribution $\pi$ and sampling, given the knowledge of the locations of the
E. Pompe, C. Holmes, K. Latuszy'nski
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MCMC methods for restoration of nonlinearly distorted autoregressive signals [PDF]
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Troughton, P. T., Godsill, S. J.
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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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