Exploration of Gibbs-Laguerre Tessellations for Three-Dimensional Stochastic Modeling
Sign Up to like & getrecommendations! Published in 2019 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-019-09757-x
Abstract: Random tessellations are well suited for probabilistic modeling of three-dimensional (3D) grain microstructures of polycrystalline materials. The present paper is focused on so-called Gibbs-Laguerre tessellations, in which the generators of the Laguerre tessellation form a… read more here.
Keywords: three dimensional; gibbs laguerre; modeling; exploration gibbs ... See more keywords
Differential Gibbs and Helmholtz reactor models for ideal and non-ideal gases: Applications to the SMR and methanol processes
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2020.116257
Abstract: Abstract This work unifies the concepts of chemical reaction equilibrium and transport phenomena applied to fluid flow of reactive gas mixtures over solid catalysts. Different from accurate modeling of reactions, which in the outset relies… read more here.
Keywords: gibbs helmholtz; energy; model; non ideal ... See more keywords
On the relation between Gibbs and $g$ -measures
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DOI: 10.1017/etds.2018.13
Abstract: Thermodynamic formalism, the theory of equilibrium states, is studied both in dynamical systems and probability theory. Various closely related notions have been developed: e.g. Dobrushin–Lanford–Ruelle Gibbs, Bowen–Gibbs and $g$ -measures. We discuss the relation between… read more here.
Keywords: relation gibbs; gibbs; gibbs measures;
Estimating Bayesian Diagnostic Models with Attribute Hierarchies with the Hamiltonian-Gibbs Hybrid Sampler
Sign Up to like & getrecommendations! Published in 2023 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2022.2160950
Abstract: Bayesian estimation of diagnostic models (B-DMs) has grown in popularity in recent years. Common estimation approaches for B-DMs include Gibbs sampling (GS), Metropolis–Hastings, and Hamiltonian Monte Carlo (HMC). The latter has been lauded for its… read more here.
Keywords: diagnostic models; sampler; parameter recovery; gibbs ... See more keywords
Model misspecification, Bayesian versus credibility estimation, and Gibbs posteriors
Sign Up to like & getrecommendations! Published in 2020 at "Scandinavian Actuarial Journal"
DOI: 10.1080/03461238.2019.1711154
Abstract: ABSTRACT In the context of predicting future claims, a fully Bayesian analysis – one that specifies a statistical model, prior distribution, and updates using Bayes's formula – is often viewed as the gold-standard, while Bühlmann's… read more here.
Keywords: model misspecification; credibility; misspecification; gibbs ... See more keywords
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3277220
Abstract: Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system applications analogous to Gaussians in single-object filtering. However, computing the GLMB filtering density requires solving NP-hard problems. To alleviate this computational bottleneck, we… read more here.
Keywords: labeled multi; multi bernoulli; generalized labeled; gibbs ... See more keywords
Multifractal formalism for the inverse of random weak Gibbs measures
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DOI: 10.1142/s0219493720500240
Abstract: Any Borel probability measure supported on a Cantor set included in [Formula: see text] and of zero Lebesgue measure on the real line possesses a discrete inverse measure. We study the validity of the multifractal… read more here.
Keywords: random weak; formalism inverse; multifractal formalism; gibbs measures ... See more keywords
A Hybrid Scan Gibbs Sampler for Bayesian Models with Latent Variables
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DOI: 10.1214/20-sts788
Abstract: Gibbs sampling is a widely popular Markov chain Monte Carlo algorithm that can be used to analyze intractable posterior distributions associated with Bayesian hierarchical models. There are two standard versions of the Gibbs sampler: The… read more here.
Keywords: gibbs sampler; hybrid scan; scan gibbs; latent variables ... See more keywords
Species-specific dehydration tolerance and its measurement comparison in drosophilids of Western Himalayas
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2022.880684
Abstract: Insects’ ability to tolerate dehydration stress is understudied, yet important. The challenges of desiccating conditions confront insects in arid habitats, which can be overcome by one of four novel adaptive mechanisms: 1) reducing the rate… read more here.
Keywords: dehydration; water; tolerance; dehydration tolerance ... See more keywords