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Statistical unfolding of elementary particle spectra: Empirical Bayes estimation and bias-corrected uncertainty quantification [PDF]
, 2015 We consider the high energy physics unfolding problem where the goal is to estimate the spectrum of elementary particles given observations distorted by the limited resolution of a particle detector.
Mikael Kuusela, V. Panaretos
semanticscholar +1 more source
Make the most of your samples : Bayes factor estimators for high-dimensional models of sequence evolution [PDF]
, 2013 Background: Accurate model comparison requires extensive computation times, especially for parameter-rich models of sequence evolution. In the Bayesian framework, model selection is typically performed through the evaluation of a Bayes factor, the ratio ...
Baele, Guy +2 more
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Interval Estimation Naïve Bayes [PDF]
, 2003 Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier called naïve Bayes is competitive with state of the art classifiers. This simple approach stands from assumptions of conditional independence among features given the class.
Robles Forcada, Víctor +4 more
openaire +2 more sources
Asymptotic Accuracy of Bayesian Estimation for a Single Latent Variable [PDF]
, 2015 In data science and machine learning, hierarchical parametric models, such as mixture models, are often used. They contain two kinds of variables: observable variables, which represent the parts of the data that can be directly measured, and latent ...
Yamazaki, Keisuke
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Land Allocation in the Presence of Estimation Risk
Journal of Agricultural and Resource Economics, 1995 Estimation risk occurs when parameters relevant for decision making are uncertain. Bayes' criterion is consistent with expected-utility maximization in the presence of estimation risk.
Sergio H. Lence, Dermot J. Hayes
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Advances in Mechanical Engineering, 2016 In order to solve the reliability assessment of braking system component of high-speed electric multiple units, this article, based on two-parameter exponential distribution, provides the maximum likelihood estimation and Bayes estimation under a type-I ...
Jianwei Yang +4 more
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A Comparison Between the Bayesian and the Classical Estimators of Weibull Distribution
Journal of Kufa for Mathematics and Computer, 2013 In this paper ,we study estimation of two parameters of Weibull distribution .Methods of estimation used are maximum likelihood estimator (MLE) and Bayes. We compared the numerical results by simulation in MATLAB program.
Fadhil abdulabaas Alabadee +2 more
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Empirical Bayes Estimation for the Stochastic Blockmodel [PDF]
, 2014 Inference for the stochastic blockmodel is currently of burgeoning interest in the statistical community, as well as in various application domains as diverse as social networks, citation networks, brain connectivity networks (connectomics), etc.
Shakira Suwan +5 more
semanticscholar +1 more source
BMC Medical Research Methodology, 2017 Background Exploratory preclinical, as well as clinical trials, may involve a small number of patients, making it difficult to calculate and analyze the pharmacokinetic (PK) parameters, especially if the PK parameters show very high inter-individual ...
Sudeep Pradhan +8 more
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Statistica, 2021 Based on the hybrid censored samples, this article deals with the problem of point and interval estimation of the stress-strength reliability R = P(Y < X) when X and Y both have independent generalized inverted exponential distributions with different ...
Renu Garg, Kapil Kumar
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