Results 31 to 40 of about 5,420,390 (236)

New Computer Experiment Designs Using Continuum Random Cluster Point Process

International Journal of Analysis and Applications, 2023
In this paper, we propose a new approach for building computer experiment designs using the continuum random cluster point process, also referred to as the connected component Markov point process.
Hichem Elmossaoui, Nadia Oukid
doaj   +1 more source

A Comparison of Estimation Methods for a Multi-unidimensional Graded Response IRT Model [PDF]

, 2016
This study compared several parameter estimation methods for multi-unidimensional graded response models using their corresponding statistical software programs and packages.
Tzu-Chun Kuo, Yanyan Sheng
core   +1 more source

A New Technique for Sampling Multi-Modal Distributions [PDF]

, 1999
In this paper we demonstrate that multi-modal Probability Distribution Functions (PDFs) may be efficiently sampled using an algorithm originally developed for numerical integrations by Monte-Carlo methods.
Abraham, Abraham, Gelman, Hastings, K.J. Abraham, Kawabata, L.M. Haines, Lepage, Metropolis, Sheehan, Tierney, Tierney   +11 more
core   +2 more sources

Bayesian Analysis of Tweedie Compound Poisson Partial Linear Mixed Models with Nonignorable Missing Response and Covariates

Entropy, 2023
Under the Bayesian framework, this study proposes a Tweedie compound Poisson partial linear mixed model on the basis of Bayesian P-spline approximation to nonparametric function for longitudinal semicontinuous data in the presence of nonignorable missing
Zhenhuan Wu, Xingde Duan, Wenzhuan Zhang
doaj   +1 more source

Bayesian prediction interval for a constant-stress partially accelerated life test model under censored data

Journal of Taibah University for Science, 2021
The present communication develops the tools for Bayesian prediction of the Gompertz distribution based on CSPALT. The Metropolis-Hastings algorithm is applied to evaluate the BPIs for a censored sample based on unified hybrid censoring scheme.
Showkat Ahmad Lone, Hanieh Panahi, Ismail Shah   +2 more
doaj   +1 more source

Further results on independent Metropolis-Hastings-Klein sampling [PDF]

, 2016
Sampling from a lattice Gaussian distribution is emerging as an important problem in coding and cryptography. This paper gives a further analysis of the independent Metropolis-Hastings-Klein (MHK) algorithm we presented at ISIT 2015.
Ling, C, Wang, Z
core   +1 more source

The Spectrum of the Independent Metropolis–Hastings Algorithm

, 2006
J. Gåsemyr
semanticscholar   +3 more sources

Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms [PDF]

, 2022
Jure Vogrinc, Samuel Livingstone, Giacomo Zanella   +2 more
openalex   +3 more sources

Sampling of integrand for integration using shallow neural network

Discrete and Continuous Models and Applied Computational Science
Inthispaper,westudytheeffectofusingtheMetropolis-Hastingsalgorithmforsamplingtheintegrand on the accuracy of calculating the value of the integral with the use of shallow neural network. In addition, a hybrid method for sampling the integrand is proposed,
Alexander S. Ayriyan, Hovik A. Grigorian, Vladimir V. Papoyan   +2 more
doaj   +1 more source

On the ergodicity properties of some adaptive MCMC algorithms

, 2005
In this paper we study the ergodicity properties of some adaptive Markov chain Monte Carlo algorithms (MCMC) that have been recently proposed in the literature.
Andrieu, Christophe, Moulines, Éric
core   +3 more sources