Results 11 to 20 of about 19,296,908 (351)
Likelihood decision functions [PDF]
Electronic Journal of Statistics, 2013 In both classical and Bayesian approaches, statistical inference is unified and generalized by the corresponding decision theory. This is not the case for the likelihood approach to statistical inference, in spite of the manifest success of the likelihood methods in statistics.
Cattaneo, Marco E. G. V.
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Human Pose Regression with Residual Log-likelihood Estimation [PDF]
IEEE International Conference on Computer Vision, 2021 Heatmap-based methods dominate in the field of human pose estimation by modelling the output distribution through likelihood heatmaps. In contrast, regression-based methods are more efficient but suffer from inferior performance. In this work, we explore
Jiefeng Li +6 more
semanticscholar +1 more source
Toward a robust inference method for the galaxy bispectrum: likelihood function and model selection [PDF]
Journal of Cosmology and Astroparticle Physics, 2019 The forthcoming generation of galaxy redshift surveys will sample the large-scale structure of the Universe over unprecedented volumes with high-density tracers. This advancement will make robust measurements of three-point clustering statistics possible.
Andrea Oddo +4 more
semanticscholar +1 more source
Mathematics, 2022 Beta regressions describe the relationship between a response that assumes values in the zero-one range and covariates. These regressions are used for modeling rates, ratios, and proportions. We study computational aspects related to parameter estimation
Lucas Couri +4 more
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Theoretical substantiation of the mathematical techniques for joint signal and noise estimation at rician data analysis [PDF]
Компьютерные исследования и моделирование, 2016 The paper provides a solution of the two-parameter task of joint signal and noise estimation at data analysis within the conditions of the Rice distribution by the techniques of mathematical statistics: the maximum likelihood method and the variants of ...
Tatiana Victorovna Yakovleva
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How likelihood and identification went Bayesian [PDF]
, 2001 This paper considers how the concepts of likelihood and identification became part of Bayesian theory. This makes a nice study in the development of concepts in statistical theory.
Aldrich, J., Aldrich, John
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Prior Distribution and Entropy in Computer Adaptive Testing Ability Estimation through MAP or EAP
Entropy, 2022 To derive a latent trait (for instance ability) in a computer adaptive testing (CAT) framework, the obtained results from a model must have a direct relationship to the examinees’ response to a set of items presented.
Joel Suárez-Cansino +4 more
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Estimating Dynamic Signals From Trial Data With Censored Values
Computational Psychiatry, 2017 Censored data occur commonly in trial-structured behavioral experiments and many other forms of longitudinal data. They can lead to severe bias and reduction of statistical power in subsequent analyses.
Ali Yousefi +4 more
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THE LIKELIHOOD EQUATION, CONSISTENCY AND THE MAXIMA OF THE LIKELIHOOD FUNCTION [PDF]
Annals of Eugenics, 1947 The articles published by the Annals of Eugenics (1925–1954) have been made available online as an historical archive intended for scholarly use. The work of eugenicists was often pervaded by prejudice against racial, ethnic and disabled groups. The online publication of this material for scholarly research purposes is not an endorsement of those views
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Likelihood Methods for CMB Experiments
Frontiers in Physics, 2020 A great deal of experimental effort is currently being devoted to the precise measurements of the cosmic microwave background (CMB) sky in temperature and polarization.
Martina Gerbino +15 more
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