Results 21 to 30 of about 3,990 (166)

Incorporating prior knowledge into Bayesian models for genetic evaluation in soybean breeding [PDF]

Pesquisa Agropecuária Brasileira
The objective of this work was to compare the use of noninformative and informative priors in Bayesian models, as well as to evaluate the viability of including informative priors in the estimation of variance components and genetic values in soybean ...
Jeniffer Santana Pinto Coelho Evangelista, Igor Ferreira Coelho, Marco Antonio Peixoto, Rodrigo Silva Alves, Marcos Deon Vilela de Resende, Felipe Lopes da Silva, Leonardo Lopes Bhering   +6 more
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BEXCIS: Bayesian methods for estimating the degree of the skewness of X chromosome inactivation

BMC Bioinformatics, 2022
Background X chromosome inactivation (XCI) is an epigenetic phenomenon that one of two X chromosomes in females is transcriptionally silenced during early embryonic development.
Wen-Yi Yu, Yu Zhang, Meng-Kai Li, Zi-Ying Yang, Wing Kam Fung, Pei-Zhen Zhao, Ji-Yuan Zhou   +6 more
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Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits

CoRR, 2023
In the stochastic multi-armed bandit problem, a randomized probability matching policy called Thompson sampling (TS) has shown excellent performance in various reward models. In addition to the empirical performance, TS has been shown to achieve asymptotic problem-dependent lower bounds in several models.
Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama   +3 more
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Constrained noninformative priors [PDF]

, 1994
The Jeffreys noninformative prior distribution for a single unknown parameter is the distribution corresponding to a uniform distribution in the transformed model where the unknown parameter is approximately a location parameter. To obtain a prior distribution with a specified mean but with diffusion reflecting great uncertainty, a natural ...
openaire   +2 more sources

A Bayesian Approach to Kriging Metamodeling for Computer Experiments

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
In this paper, an efficient and effective Gaussian Kriging metamodeling approach is proposed in the framework of Bayesian maximum a posterior. Different prior densities and particularly, a Jeffreys' noninformative density based hierarchical prior is
Haisong DENG, Wenze SHAO, Yizhong MA
doaj   +1 more source

Video Summarization Based on Feature Fusion and Data Augmentation

Computers, 2023
During the last few years, several technological advances have led to an increase in the creation and consumption of audiovisual multimedia content.
Theodoros Psallidas, Evaggelos Spyrou
doaj   +1 more source

MIMO Radar Imaging With Multiple Probing Pulses for 2D Off-Grid Targets via Variational Sparse Bayesian Learning

IEEE Access, 2020
Spatial sparsity of the target space has been successfully exploited to provide accurate range-angle images by the methods based on sparse signal reconstruction (SSR) in Multiple-Input Multiple-Output (MIMO) radar imaging applications.
Chao Wen, Lu Chen, Pengting Duan, Xuefeng Cui   +3 more
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A Bayesian-Weighted Inverse Gaussian Regression Model with Application to Seismological Data

Advances in Mathematical Physics, 2022
Developing an efficient model for analyzing right-skewed positive observations has a long history, and many authors have attempt in this direction. This is because the common analytic modeling procedures such as linear regression are often inappropriate ...
Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholam Hossein Yari   +3 more
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Estimation of the scale parameter of gamma model in presence of outlier observations

International Journal of Mathematics and Mathematical Sciences, 1990
This paper considers the Bayesian point estimation of the scale parameter for a two-parameter gamma life-testing model in presence of several outlier observations in the data.
M. E. Ghitany
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Rationale and Design of the Randomized Bayesian Multicenter COME-TAVI Trial in Patients With a New Onset Left Bundle Branch Block

CJC Open, 2023
Patients with new-onset left bundle branch block (LBBB) after transcatheter aortic valve implantation (TAVI) are at risk of developing delayed high-degree atrioventricular block. Management of new-onset LBBB post-TAVI remains controversial.
Lena Rivard, MD, MSc, Isabelle Nault, MD, Andrew D. Krahn, MD, Benoit Daneault, MD, Jean-Francois Roux, MD, Madhu Natarajan, MD, Jeffrey S. Healey, MD, MSc, Kenneth Quadros, MD, Roopinder K. Sandhu, MD, MPH, Remi Kouz, MD, Isabelle Greiss, MD, Peter Leong-Sit, MD, Jean Baptiste Gourraud, MD, Walid Ben Ali, MD, PhD, Anita Asgar, MD, Msc, Martin Aguilar, MD, PhD, Raoul Bonan, MD, Julia Cadrin-Tourigny, MD, PhD, Raymond Cartier, MD, Jean-Francois Dorval, MD, Marc Dubuc, MD, Nicolas Dürrleman, MD, MSc, Katia Dyrda, MD, Peter Guerra, MD, Marina Ibrahim, MD, MSc, Reda Ibrahim, MD, Laurent Macle, MD, Blandine Mondesert, MD, Emmanuel Moss, MD, MSc, Alexandre Raymond-Paquin, MD, Denis Roy, MD, Rafik Tadros, MD, PhD, Bernard Thibault, MD, Mario Talajic, MD, Anna Nozza, MSc, Marie-Claude Guertin, PhD, Paul Khairy, MD, PhD   +36 more
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