Results 11 to 20 of about 518,026 (208)

New Frontiers in Bayesian Modeling Using the INLA Package in R

Journal of Statistical Software, 2021
The INLA package provides a tool for computationally efficient Bayesian modeling and inference for various widely used models, more formally the class of latent Gaussian models.
Janet Van Niekerk, Haakon Bakka, Håvard Rue, Olaf Schenk   +3 more
doaj   +1 more source

Bayesian Inference-Based Energy Management Strategy for Techno-Economic Optimization of a Hybrid Microgrid

Energies, 2023
This paper introduces a novel techno-economic feasibility analysis of energy management utilizing the Homer software v3.14.5 environment for an independent hybrid microgrid.
Abdellah Benallal, Nawal Cheggaga, Adrian Ilinca, Selma Tchoketch-Kebir, Camelia Ait Hammouda, Noureddine Barka   +5 more
doaj   +1 more source

Approximate Bayesian Inference

Entropy, 2020
This is the Editorial article summarizing the scope of the Special Issue: Approximate Bayesian Inference.
Pierre Alquier
doaj   +1 more source

Interrelations between productive, vegetative, and fruit quality traits in Tahiti acid lime through Bayesian inference

Ciência Rural, 2021
: Although the fruit yield has a core importance in Tahiti acid lime breeding programs, other traits stand out among the quality fruit and vegetative traits as ones that still need to be improved in selection of superior genotypes.
Renan Garcia Malikouski, Emanuel Ferrari do Nascimento, Andréia Lopes de Morais, Marco Antônio Peixoto, Moises Zucoloto, Dimmy Herllen Silveira Gomes Barbosa, Leonardo Lopes Bhering   +6 more
doaj   +1 more source

Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data. [PDF]

PLoS ONE, 2017
Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell.
Zahra Narimani, Hamid Beigy, Ashar Ahmad, Ali Masoudi-Nejad, Holger Fröhlich   +4 more
doaj   +1 more source

Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes [PDF]

, 2016
Functional data are defined as realizations of random functions (mostly smooth functions) varying over a continuum, which are usually collected with measurement errors on discretized grids.
Bonferroni C. E., Cardot H., Ferraty F., Green P. J., Lee J. S., Moon J. K., Ramsay J. O., Rasmussen C. E., Shi J. Q.   +8 more
core   +1 more source

Bayesian Inference for Acoustic Direction of Arrival Analysis Using Spherical Harmonics

Entropy, 2019
This work applies two levels of inference within a Bayesian framework to accomplish estimation of the directions of arrivals (DoAs) of sound sources. The sensing modality is a spherical microphone array based on spherical harmonics beamforming.
Ning Xiang, Christopher Landschoot
doaj   +1 more source

Bayesian statistical inference

Statistica, 2017
This work was translated into English and published in the volume: Bruno De Finetti, Induction and Probability, Biblioteca di Statistica, eds. P. Monari, D.
Bruno De Finetti
doaj   +1 more source

The material-weight illusion is a Bayes-optimal percept under competing density priors [PDF]

PeerJ, 2018
The material-weight illusion (MWI) is one example in a class of weight perception illusions that seem to defy principled explanation. In this illusion, when an observer lifts two objects of the same size and mass, but that appear to be made of different ...
Megan A.K. Peters, Ling-Qi Zhang, Ladan Shams   +2 more
doaj   +2 more sources

Bayesian Inference in Estimation of Distribution Algorithms [PDF]

, 2007
Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimization problems.
Gallagher, Marcus, Keith, Jonathan, Sofronov, George, Wood, Ian   +3 more
core   +3 more sources