Results 21 to 30 of about 1,818,807 (197)
Journal of Statistical Theory and Applications (JSTA), 2020 The output of an engineering process is the result of several inputs, which may be homogeneous or heterogeneous and to study them, we need a model which should be flexible enough to summarize efficiently the nature of such processes.
Muhammad Tahir +4 more
doaj +1 more source
Hilbert–Schmidt separability probabilities and noninformativity of priors [PDF]
Journal of Physics A: Mathematical and General, 2006 The Horodecki family employed the Jaynes maximum-entropy principle, fitting the mean (b_{1}) of the Bell-CHSH observable (B). This model was extended by Rajagopal by incorporating the dispersion (σ_{1}^2) of the observable, and by Canosa and Rossignoli, by generalizing the observable (B_α).
openaire +3 more sources
Noninformative priors for the log-logistic distribution [PDF]
Journal of the Korean Data and Information Science Society, 2014 Abstract In this paper, we develop the noninformative priors for the scale parameter andthe shape parameter in the log-logistic distribution. We developed the rst and secondorder matching priors. It turns out that the second order matching prior matches the al-ternative coverage probabilities, and is a highest posterior density matching prior.
Sang Gil Kang, Dal Ho Kim, Woo Dong Lee
openaire +1 more source
Incorporating prior knowledge into Bayesian models for genetic evaluation in soybean breeding [PDF]
Pesquisa Agropecuária BrasileiraThe 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 +6 more
doaj +1 more source
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 +3 more
openaire +4 more sources
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 +6 more
doaj +1 more source
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
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 +3 more
doaj +1 more source
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 +3 more
doaj +1 more source