maximum likelihood estimation methods
Particle methods for maximum likelihood estimation in latent variable models
... the likelihood does not admit a closed-form expression, these artificial distributions are not standard and rely on the introduction of an increas- ing number of artificial copies of the latent ...(SMC) ...
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Comparison of Different methods of Estimation for Transmuted Lomax Distribution
... parameter estimation of the parametric distribution than those estimated by the maximum likelihood estimation and method of moments for small samples (Hosking (1990), Tomer and Kumar ...
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Maximum-Likelihood Estimation of Coalescence Times in Genealogical Trees
... by maximum likelihood in population genetics appears new, a number of maximum-likelihood methods exist (F elsenstein 1981) for phylogenetic analysis of a sam- ple of DNA sequences, ...
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Model-Free IRL Using Maximum Likelihood Estimation
... IRL methods are that the expert’s stochastic transition function is fully known to the learner as in IRL for apprenticeship learning (Abbeel and Ng 2004) and in Bayesian IRL (Ramachandran ...
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Maximum Likelihood Estimation of Latent Affine Processes
... Simulation methods are currently the most actively researched approach for estimating discrete- and continuous-time stochastic volatility ...permitting estimation of model parameters by a GMM ...
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Readings in Targeted Maximum Likelihood Estimation
... various methods for construction of an efficient estimator of a pa- rameter based on parametric ...mum likelihood estimation can be applied, or closely related M-estimate ...equations) methods ...
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Computational approaches for maximum likelihood estimation for nonlinearmixed models.
... the methods implemented in the software without formal evidence that the un- derlying assumption of normality is ...these methods yield reliable inferences when the normality assumption is not ...
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Targeted maximum likelihood estimation for a binary treatment: A tutorial.
... the estimation of causal effects more accessible and popular among applied statisticians and ...Targeted maximum likelihood estimation implemented with ensemble and machine ‐ learning ...
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Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution
... Various methods of estimation for this type of data include the L-moment, Moment, and Maximum Likelihood (ML) ...global maximum because it can de- pend upon the starting ...
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Maximum Likelihood Estimation of the Multivariate Normal Mixture Model
... several methods to estimate the variance matrix of the ML estimator in (multivariate) mixture models in terms of the inverse of the observed information matrix, and they differ by the way this inverse is ...
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A comparison of MLE method and OLSE for the estimation of modified Weibull distribution parameters by using the simulation
... the Maximum Likelihood Estimation (MLE) and Ordinary Least Squares Estimator (OLSE) methods for estimation of the unknown parameters of the modified Weibull ...presented methods ...
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A simple approach to maximum intractable likelihood estimation
... the likelihood function, even up to a normalising constant, is impossible or computationally ...Composite Likelihood methods (Cox and Reid, 2004), for approximating the likelihood function, ...
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Maximum Likelihood Estimation of Feature Based Distributions
... Finally, we compare this proposal with Hayes and Wilson (2008). Essentially, the model here represents a “bottom-up” approach whereas theirs is “top-down.” “Top-down” models, which con- sider every set of features as ...
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Maximum likelihood estimation of variance components
... present methods in general. Henderson proposed three methods of estimating variance components: they are all variations on ANOVA estimates which involve equating various quadratic forms of the observations ...
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Approximate maximum likelihood estimation for population genetic inference
... approximate maximum likelihood ...approximation methods and propose two algorithms to approximate the maximum likelihood ...the likelihood (Kiefer and Wolfowitz, 1952; Blum, ...
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Parameter estimations and copula methods for burr type III and type XII distributions
... The process of analysis in this study involves the characteristics of Burr Type III and XII distributions, Maximum Likelihood Estimation (MLE) and Expectation- Maximization (EM) algorithm approaches ...
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Sample size re-estimation in paired comparative diagnostic accuracy studies with a binary response
... re-estimated. Methods: This paper discusses a sample size estimation and re-estimation method based on the maximum likelihood estimates, under an implied multinomial model, of the ...
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Maximum-Likelihood Estimation of Relatedness
... two methods are identical Three different allele-frequency distributions were used when allele frequencies are the same across loci; how- for the simulations: one in which all alleles occur at ever, they may ...
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Simple estimators of the intensity of seasonal occurrence
... the estimation of seasonal intensity assuming Edwards's periodic model, including maximum likelihood estimation (MLE), least squares, weighted least squares, and a new closed-form estimator ...
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Two Parameter Laplace Type Bimodal Distribution
... the estimation of the parameters involved in the distribution under ...various methods of estimation using the method of moments, maximum likelihood method estimation and best ...
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