[PDF] Top 20 Reduce computation in profile empirical likelihood method
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Reduce computation in profile empirical likelihood method
... 32 Table 1 Empirical coverage probabilities for the proposed jackknife empirical likelihood confidence intervalJELCI and the profile empirical likelihood confidence intervalPELCI with no[r] ... See full document
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Robust Element Wise Empirical Likelihood Estimation Method for Longitudinal Data
... (GEE) method, introduced correla- tion matrices in estimating equations, and gave corresponding estimates of re- gression parameters and their ...GEE method even if the work correlation matrix is ... See full document
13
The Effects of Extreme Media on Political Behavior, Attitudes, and Media Selection
... The empirical likelihood method is a procedure to maximize nonparametric likelihood function under constraints on the ...nonparametric method, called Jackknife Empirical ... See full document
29
Empirical likelihood inference of parameters in nonlinear EV models with censored data
... the empirical likelihood method to construct the confidence region for ...the empirical likelihood function, () invert the confidence region by the limiting χ ...estimated ... See full document
16
Postcolonial Trauma Narratives: Traumatic Historiography and Identity in Amitav Ghosh's The Calcutta Chromosome
... JEL method on the partial area under the ROC curve and the difference between two partial areas under ROC curves, and shows the JEL method performs better than the NA and the logit NA ...JEL method ... See full document
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Examining the validity and reliability of the Activities Specific Balance Confidence Scale 6 (ABC 6) in a diverse group of older adults
... Empirical likelihood was first introduced by Owen (1988, ...expanded empirical likelihood methodology to many statistical fields, including some papers closely related to our topics, such as ... See full document
146
Approximate Profile Maximum Likelihood
... is the support set size of the empirical distribution ˆ p. Then the PML distribution is ¯ p ∗ with support set ¯ K ∗ . The max over p is obtained via our approximate PML algorithm in Section 4.5. The maximizer ¯ K ... See full document
55
Innovative Algorithms and Evaluation Methods for Biological Motif Finding
... exact method and approximation methods for CV when the underlying distribution is a normal ...exact method is computationally cumbersome, and approximation methods can’t be applied when the underlying ... See full document
46
A Study of the Lhires III Spectrograph on the Hard Labor Creek Observatory 20 inch Telescope
... dard empirical likelihood method to ...the empirical log-likelihood ratio of ...heavy computation burdens since we need to solve several simultaneous nonlinear ... See full document
41
Two-step semiparametric empirical likelihood inference
... the method works, that is, how the modified estimating equations were obtained in the first place for the specific models considered, and how similar estimating equations could be built for other semiparametric ... See full document
35
Investigation of wind energy potential and electricity generation for charging the batteries of electric vehicles
... Maximum likelihood, power density method, LLSE method and empirical method for estimation the speed of wind in a ...density method performs better than maximum likelihood ... See full document
12
Bayesian synthetic likelihood
... normal likelihood that is exactly un- biased when the summary statistics are multivariate normal, based on a density estimator due to Ghurye and Olkin ...BSL method that is theoretically unaffected by n ... See full document
31
Auxiliary likelihood based approximate Bayesian computation in state space models
... well-established empirical findings, many alternative time- varying volatility models have been proposed, with continuous-time stochastic volatility (SV) models - often augmented by random jump processes - being ... See full document
44
Molecular Dynamics Simulations Towards The Understanding of the Cis Trans Isomerization of Proline As A Conformational Switch For The Regulation of Biological Processes
... EL method for ...jackknife empirical log likelihood ratio for the difference of 2 ROC curves is asymptotically chi-squared ...Their method can be adapted to the skewness and ... See full document
36
Measuring Strategic Communications
... a likelihood function to estimate the parameters. However, this method is not always ...estimation method assuming the piecewise of baseline hazard function, based on the kernel-smoothed ... See full document
92
Empirical Phi-discrepancies and quasi-empirical likelihood: exponential bounds
... In the general multidimensional framework, the main difficulty is actually to keep the self-normalized structure when symmetrizing the original sum. Another difficulty is to have a precise control of the behavior of the ... See full document
20
Inference Based on Empirical Likelihood for Varying Coefficient Model with Random Effect
... “Empirical Likelihood Inferences for Semiparametric Varying Coefficient Partially Linear Er- rors in Variables Models with Longitudinal Data,” Jour- nal of Nonparametric Statistics, ...“Generalized ... See full document
8
Buckling Analysis of Roll Cage Using Finite Element Analysis
... This method corresponds to the textbook approach to elastic buckling analysis: for instance, an eigenvalue buckling analysis of a column will match the classical Euler ... See full document
8
Risk and protective factors for psychopathology in adolescence
... Block 1: Method = Forward Stepwise Likelihood Ratio Iteration History" ." Coefficients -2 Log likelihood... Method: Forward Stepwise Likelihood Ratio b.[r] ... See full document
401
On The Comparison Of Methods Of Estimating Variance Components: A Case Of Gudali Beef Cattle
... restricted likelihood function depending on the variance components to be estimated only and not on the fixed effects like 𝜇 ...restricted likelihood function as a function of the sufficient statistics for ... See full document
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