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Detecting directed motion and confinement in single-particle trajectories using hidden variables. [PDF]
ElifeSimon F +8 more
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Risk Factors and Prevention Strategies for Complex Regional Pain Syndrome Following Fractures: A Scoping Review. [PDF]
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Statistical Science, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pawitan, Yudi, Lee, Youngjo
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pawitan, Yudi, Lee, Youngjo
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Journal of the American Statistical Association, 2000
Abstract We show that semiparametric profile likelihoods, where the nuisance parameter has been profiled out, behave like ordinary likelihoods in that they have a quadratic expansion. In this expansion the score function and the Fisher information are replaced by the efficient score function and efficient Fisher information.
Murphy, S.A., van der Vaart, A.W.
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Abstract We show that semiparametric profile likelihoods, where the nuisance parameter has been profiled out, behave like ordinary likelihoods in that they have a quadratic expansion. In this expansion the score function and the Fisher information are replaced by the efficient score function and efficient Fisher information.
Murphy, S.A., van der Vaart, A.W.
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Likelihood and quasi - likelihood estimation of transition probabilities
Discussiones Mathematicae Probability and Statistics, 2023Summary: Two approaches to the problem of estimation of transition probabilities are considered. The approach by \textit{P. McCullagh} and \textit{J. A. Nelder} [Generalized linear models. 2nd ed. (1989; Zbl 0744.62098)], based on the independent model and the quasi-likelihood function, is compared with the approach based on the marginal model and the ...
Bakinowska, Ewa, Kala, Radosław
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Likelihood and Inconsistency, , , ,
Cladistics, 1999Parsimony can be inconsistent, but not maximum likelihood—likelihood advocates often say. This difference and conclusions drawn from it have provided the main reasons advanced by likelihoodists against the use of parsimony. Recent statistical research, however, shows that maximum likelihood estimation of phylogenetic trees can become inconsistent in ...
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2012
The maximum likelihood method is a popular statistical inferential procedure widely used in many areas to obtain the estimates of the unknown parameters of a population of interest. This chapter gives a brief description of the important concepts underlying the maximum likelihood method, the definition of the key components, the basic theory of the ...
Shuying, Yang, Daniela, De Angelis
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The maximum likelihood method is a popular statistical inferential procedure widely used in many areas to obtain the estimates of the unknown parameters of a population of interest. This chapter gives a brief description of the important concepts underlying the maximum likelihood method, the definition of the key components, the basic theory of the ...
Shuying, Yang, Daniela, De Angelis
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Biometrika, 1992
Summary: For a given statistic, nested bootstrap calculations in conjunction with kernel smoothing methods are used to calculate estimates of the density of the statistic for a range of parameter values. These density estimates are then used to generate values of an analogue of a likelihood function, a whole function being obtained by curve-fitting ...
Davison, A. C. +2 more
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Summary: For a given statistic, nested bootstrap calculations in conjunction with kernel smoothing methods are used to calculate estimates of the density of the statistic for a range of parameter values. These density estimates are then used to generate values of an analogue of a likelihood function, a whole function being obtained by curve-fitting ...
Davison, A. C. +2 more
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