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Obtaining reliable likelihood ratio tests from simulated likelihood functions. [PDF]
PLoS ONE, 2014 MIXED MODELS: 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-
Laura Mørch Andersen
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Parameter Estimation with Data-Driven Nonparametric Likelihood Functions [PDF]
Entropy, 2019 In this paper, we consider a surrogate modeling approach using a data-driven nonparametric likelihood function constructed on a manifold on which the data lie (or to which they are close).
Shixiao W. Jiang, John Harlim
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Proper likelihood functions for parameter estimation in S-shaped models of unperturbed tumor growth [PDF]
Scientific ReportsThe analysis of unperturbed tumor growth kinetics, particularly the estimation of parameters for S-shaped equations used to describe growth, requires an appropriate likelihood function that accounts for the increasing error in solid tumor measurements as
Erick E. Ramirez-Torres +5 more
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Likelihood functions for the analysis of single-molecule binned photon sequences. [PDF]
Chem Phys, 2012 Gopich IV.
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Introduction to the LIVECAT web-based computerized adaptive testing platform [PDF]
Journal of Educational Evaluation for Health Professions, 2020 This study introduces LIVECAT, a web-based computerized adaptive testing platform. This platform provides many functions, including writing item content, managing an item bank, creating and administering a test, reporting test results, and providing ...
Dong Gi Seo, Jeongwook Choi
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International Journal of Preventive Medicine, 2021 Context: Diarrhea characterized by a frequency increased of defecation more than 3 times/day accompanied by changes in consistency (becoming liquid). The causes of diarrhea can be divided into 2 parts, which are direct causes and indirect causes that can
Bambang W Otok +4 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
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Likelihood-Based Prediction of Future Weibull Record Values
Revstat Statistical Journal, 2023 Point prediction of future record values from a sequence of independent and identically distributed two-parameter Weibull random variables using the maximum likelihood method is considered.
Grigoriy Volovskiy , Udo Kamps
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Transmuted Generalized Gompertz distribution with application [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 This paper introduces the four parameter transmuted generalized Gompertz distribution which includes the transmuted Gompertz, transmuted generalized exponential, transmuted exponential, Gompertz, generalized exponential and exponential distributions as ...
Muhammad Shuaib Khan +2 more
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Machine learning of log-likelihood functions in global analysis of parton distributions
Journal of High Energy Physics, 2022 Modern analysis on parton distribution functions (PDFs) requires calculations of the log-likelihood functions from thousands of experimental data points, and scans of multi-dimensional parameter space with tens of degrees of freedom.
DianYu Liu, ChuanLe Sun, Jun Gao
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