Results 21 to 30 of about 13,556,907 (351)
Estimation of models parameters for time series with Markov switching regimes [PDF]
Компьютерные исследования и моделирование, 2018 The paper considers the problem of estimating the parameters of time series described by regression models with Markov switching of two regimes at random instants of time with independent Gaussian noise.
Vera Andreevna Silaeva +2 more
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Likelihood-enhanced fast translation functions [PDF]
Acta Crystallographica Section D Biological Crystallography, 2005 This paper is a companion to a recent paper on fast rotation functions [Storoni et al. (2004), Acta Cryst. D60, 432-438], which showed how a Taylor-series expansion of the maximum-likelihood rotation function leads to improved likelihood-enhanced fast rotation functions.
Airlie J, McCoy +3 more
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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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Bayesian Estimation in Some Power Series Distributions [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 In this paper, we study the Bayesian estimation of functions of parameters of some power series distributions. These estimators are better than the classical minimum variance unbiased estimators (MVUE) as given by Patil and Joshi (1970), in the sense ...
Anwar Hassan +2 more
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Asymptotic Likelihood-Based Prediction Functions
Econometrica, 1990 This paper develops asymptotic prediction functions that approximate the shape of the density of future observations and correct for parameter uncertainty. The functions are based on extensions to a definition of predictive likelihood originally suggested by S. L. Lauritzen (1974) and D. Hinkley (1979).
Cooley, Thomas F, Parke, William R
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Obtaining Reliable Likelihood Ratio Tests from Simulated Likelihood Functions [PDF]
PLoS ONE, 2014 Models allowing for continuous heterogeneity by assuming that value of one or more parameters follow a specified distribution have become increasingly popular. This is known as 'mixing' parameters, and it is standard practice by researchers--and the default option in many statistical programs--to base test statistics for mixed models on simulations ...
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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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CONSTRUCTING A FLEXIBLE LIKELIHOOD FUNCTION FOR SPECTROSCOPIC INFERENCE [PDF]
, 2014 We present a modular, extensible likelihood framework for spectroscopic inference based on synthetic model spectra. The subtraction of an imperfect model from a continuously sampled spectrum introduces covariance between adjacent datapoints (pixels) into
I. Czekala +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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A new soft likelihood function based on power ordered weighted average operator
International Journal of Intelligent Systems, 2019 The likelihood function is widely used in data processing but the classical likelihood function is too strict to deal with data with extreme values in real applications.
Yutong Song, Yong Deng
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