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Bayesian Estimation of Turbulent Motion [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 Based on physical laws describing the multiscale structure of turbulent flows, this paper proposes a regularizer for fluid motion estimation from an image sequence. Regularization is achieved by imposing some scale invariance property between histograms of motion increments computed at different scales.
Héas, Patrick +4 more
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Russian Journal of Agricultural and Socio-Economic Sciences, 2021 This paper introduces Bayesian analysis and demonstrates its application to parameter estimation of the Poisson regression via Markov Chain Monte Carlo (MCMC) algorithm using roommate conflict data.
Acquah J. De-Graft
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Bayesian inference for dynamical systems
Infectious Disease Modelling, 2020 Bayesian inference is a common method for conducting parameter estimation for dynamical systems. Despite the prevalent use of Bayesian inference for performing parameter estimation for dynamical systems, there is a need for a formalized and detailed ...
Weston C. Roda
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Bayesian Estimation of Past Population Dynamics in BEAST 1.10 Using the Skygrid Coalescent Model
Molecular biology and evolution, 2019 Inferring past population dynamics over time from heterochronous molecular sequence data is often achieved using the Bayesian Skygrid model, a nonparametric coalescent model that estimates the effective population size over time.
V. Hill, G. Baele
semanticscholar +1 more source
A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION
Barekeng, 2023 Binary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage.
Devi Azarina Manzilir Rohmah +2 more
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Optimal, reliable estimation of quantum states [PDF]
, 2006 Accurately inferring the state of a quantum device from the results of measurements is a crucial task in building quantum information processing hardware.
Aliferis P +10 more
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Frontiers in Human NeuroscienceSource localization from M/EEG data is a fundamental step in many analysis pipelines, including those aiming at clinical applications such as the pre-surgical evaluation in epilepsy.
Gianvittorio Luria +5 more
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Estimation of Parameters for the Gumbel Type-I Distribution under Type-II Censoring Scheme
مجلة بغداد للعلوم, 2023 This paper aims to decide the best parameter estimation methods for the parameters of the Gumbel type-I distribution under the type-II censorship scheme. For this purpose, classical and Bayesian parameter estimation procedures are considered.
Asuman Yılmaz, Mahmut Kara
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Bayesian Sequential Estimation
The Annals of Statistics, 1977 For fixed $\theta$, let $X_1, X_2, \cdots$ be a sequence of independent identically distributed random variables having density $f_\theta(x)$. Using a sequential Bayes decision theoretic approach we consider the problem of estimating any strictly monotone function $g(\theta)$ when the error incurred by a wrong estimate is measured by squared error loss
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Mathematical Biosciences and Engineering, 2022 The procedure of selecting the values of hyper-parameters for prior distributions in Bayesian estimate has produced many problems and has drawn the attention of many authors, therefore the expected Bayesian (E-Bayesian) estimation method to overcome ...
M. Nagy +3 more
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