Results 71 to 80 of about 50,759 (165)

Variational MCMC

CoRR, 2013
Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001)
de Freitas, N, Hojen−Sorensen, P, Jordan, M, Russell, S   +3 more
openaire   +3 more sources

Model Probit Spasial pada Faktor-Faktor yang Mempengaruhi Klasifikasi IPM di Pulau Jawa

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2013
Human pembagunan Index (HDI) is a composite index that includes three basic dimensions of human development is considered to reflect the status of the population's basic abilities of health, educational attainment, and purchasing power.
Feni Ira Puspita, Vita Ratnasari, Purhadi Purhadi   +2 more
doaj   +1 more source

Application of Markov chain Monte Carlo and machine learning for identifying active modules in biological graphs

Научно-технический вестник информационных технологий, механики и оптики
In biology, information about interactions between the proteins or genes under study can be represented as a biological graph. A connected subgraph, whose vertices perform a common biological function, is called an active module.
D. A. Usoltsev, I. I. Molotkov, M. N. Artomov, A. A. Sergushichev, A. A. Shalyto   +4 more
doaj   +1 more source

Bayesian state-space models with multiple CPUE data: the case of a mullet fishery

Scientia Marina, 2017
We propose a novel Bayesian hierarchical structure of state-space surplus production models that accommodate multiple catch per unit effort (CPUE) data of various fisheries exploiting the same stock.
Rodrigo Sant’Ana, Paul Gerhard Kinas, Laura Villwock de Miranda, Paulo Ricardo Schwingel, Jorge Pablo Castello, João Paes Vieira   +5 more
doaj   +1 more source

Simple reparameterization to improve convergence in linear mixed models

Acta Agriculturae Slovenica, 2010
Slow convergence and mixing are one of the main problems of Markov chain Monte Carlo (McMC) algorithms applied to mixed models in animal breeding. Poor convergence is to a large extent caused by high posterior correlation between variance components and ...
Gregor GORJANC, Tina FLISAR, Jose Carlos MARTÍNEZ-ÁVILA, Luis Alberto GARCÍA-CORTÉS   +3 more
doaj   +1 more source

MCMC for GLMMs

, 2022
Generalized linear mixed models (GLMMs) are often used for analyzing correlated non-Gaussian data. The likelihood function in a GLMM is available only as a high dimensional integral, and thus closed-form inference and prediction are not possible for GLMMs.
openaire   +3 more sources

On Cyclical MCMC Sampling

Cyclical MCMC is a novel MCMC framework recently proposed by Zhang et al. (2019) to address the challenge posed by high-dimensional multimodal posterior distributions like those arising in deep learning. The algorithm works by generating a nonhomogeneous Markov chain that tracks -- cyclically in time -- tempered versions of the target distribution.
Liwei Wang, Xinru Liu, Aaron Smith, Aguemon Y. Atchadé   +3 more
openaire   +3 more sources

MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology

Frontiers in Applied Mathematics and Statistics, 2019
Ordinary differential equation systems (ODEs) are frequently used for dynamical system modeling in many science fields such as economics, physics, engineering, and systems biology.
Gloria I. Valderrama-Bahamóndez, Gloria I. Valderrama-Bahamóndez, Holger Fröhlich   +2 more
doaj   +1 more source

Uncertainty Quantification of Geophysical and Hydrologic Parameters Estimated From Borehole Nuclear Magnetic Resonance Data

Journal of Geophysical Research: Machine Learning and Computation
Borehole nuclear magnetic resonance (bNMR) data are typically used to infer in situ hydrologic properties. Partial water content as a function of pore size is estimated by fitting the measured NMR response to a multi‐exponential T2 distribution, and the ...
Burke J. Minsley, Stephanie N. Phillips, Stephanie R. James   +2 more
doaj   +1 more source

MinDet1: A deep learning-enabled approach for plagioclase textural studies

Volcanica
Quantitative textural attributes, such as crystal size distributions or aspect ratios, provide important constraints on the thermal history of rocks.
Norbert Toth, John Maclennan
doaj   +1 more source