JAMA Network Open, 2023 Key Points Question Are executive function (EF) differences early in development associated with sex, familial likelihood for autism, and alterations in brain volume?
T. St John +18 more
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Comparison Between the Exact Likelihood and Whittle Likelihood for Moving Average Processes
Statistica, 2022 For Gaussian stationary processes, the likelihood functions include the inverse and determinant of the covariance matrices, and Whittle likelihood is considered as a standard technique to avoid expensive matrix determinant and inversions under large ...
Xiaofei Xu +2 more
doaj +1 more source
The Gamma-Topp-Leone-Type II-Exponentiated Half Logistic-G Family of Distributions with Applications
Stats, 2023 The new Ristić and Balakhrisnan or Gamma-Topp-Leone-Type II-Exponentiated Half Logistic-G (RB-TL-TII-EHL-G) family of distributions is introduced and investigated in this paper.
Broderick Oluyede, Thatayaone Moakofi
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Analyzing weak lensing of the cosmic microwave background using the likelihood function [PDF]
, 2003 Future experiments will produce high-resolution temperature maps of the cosmic microwave background (CMB) and are expected to reveal the signature of gravitational lensing by intervening large-scale structures.
Christopher M. Hirata, Uroš Seljak
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A case study on the practicability of using linear analysis results in a Bayesian inference model to predict nonlinear responses in performance-based design methods [PDF]
Numerical Methods in Civil Engineering, 2021 Compared to traditional methods based on mean response evaluation of seismic parameters with significant confidence margin, the growing use of the new generation of performance-based design methods, which are based on loss and financial assessment ...
Shima Taheri, Reza Karami Mohammadi
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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
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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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
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A Robust Likelihood Function for 3D Human Pose Tracking
IEEE Transactions on Image Processing, 2014 Weichen Zhang +2 more
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Noise stability of signal reception algorithms with multipulse pulse-position modulation [PDF]
Компьютерная оптика, 2018 An algorithm for estimating time positions and amplitudes of a periodic pulse sequence from a small number of samples was proposed. The number of these samples was determined only by the number of pulses.
Vladimir Parfenov, Dmitry Golovanov
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