Non-Uniform Low-Light Face Image Enhancement Based on Dark Channel Prior and Image Uniform Posterior
IEEE AccessNon-uniform low-light images, characterized by complex lighting conditions, pose a significant challenge in image restoration and enhancement, particularly under backlit scenarios where the high-brightness background obscures the foreground information ...
Bo-Yu Zhang +2 more
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Bayesian estimation of rainfall dispersion in Thailand using gamma distribution with excess zeros [PDF]
PeerJ, 2022 The gamma distribution is commonly used to model environmental data. However, rainfall data often contain zero observations, which violates the assumption that all observations must be positive in a gamma distribution, and so a gamma model with excess ...
Wansiri Khooriphan +2 more
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The Bayesian confidence intervals for measuring the difference between dispersions of rainfall in Thailand [PDF]
PeerJ, 2020 The coefficient of variation is often used to illustrate the variability of precipitation. Moreover, the difference of two independent coefficients of variation can describe the dissimilarity of rainfall from two areas or times.
Noppadon Yosboonruang +2 more
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Confidence Intervals for the Ratio of Variances of Delta-Gamma Distributions with Applications
Axioms, 2022 Since rainfall data often contain zero observations, the ratio of the variances of delta-gamma distributions can be used to compare the rainfall dispersion between two rainfall datasets.
Wansiri Khooriphan +2 more
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Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters
Entropy, 2021 Maximum a posteriori estimation (MAP) with Dirichlet prior has been shown to be effective in improving the parameter learning of Bayesian networks when the available data are insufficient.
Ruohai Di +3 more
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ESTIMASI PARAMETER DISTRIBUSI BINOMIAL NEGATIF MENGGUNAKAN METODE INFERENSI BAYESIAN
Jurnal Diferensial, 2022 Estimasi parameter merupakan salah satu bentuk dari statistik inferensial. Estimasi parameter terdiri atas estimasi parameter titik dan estimasi parameter interval.
Laura Erlinda Laidat +2 more
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A Zero-and-One Inflated Cosine Geometric Distribution and Its Application
Mathematics, 2022 Count data containing both excess zeros and ones occur in many fields, and the zero-and-one inflated distribution is suitable for analyzing them. Herein, we construct confidence intervals (CIs) for the parameters of the zero-and-one inflated cosine ...
Sunisa Junnumtuam +2 more
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Prior knowledge‐based statistical estimation of linear false tracks in uniform distributed clutter
IET Radar, Sonar & Navigation, 2021 A large number of initialised false tracks in clutter environments will cause a heavy burden on the detection and track‐processing system. The quantity of initialised false tracks in clutter used to be estimated by experience or simulation, which lacks a
Fei Wang +3 more
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The Uniform Prior for Bayesian Estimation of Ability in Item Response Theory Models
International Journal of Assessment Tools in Education, 2020 ItemResponse Theory (IRT) models traditionally assume a normal distribution forability. Although normality is often a reasonable assumption for ability, it israrely met for observed scores in educational and psychological measurement.Assumptions ...
Tuğba Karadavut
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On Bayesian approach to composite Pareto models.
PLoS ONE, 2021 In data modelling using the composite Pareto distribution, any observations above a particular threshold value are assumed to follow Pareto type distribution, whereas the rest of the observations are assumed to follow a different distribution. This paper
Muhammad Hilmi Abdul Majid +1 more
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