likelihood approach
Inference of Population History Using a Likelihood Approach
... an approach to revealing the likelihood of different population histories that utilizes an explicit model of sequence evolution for the DNA segment under ...a likelihood approach to conducting ...
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Capture recapture abundance estimation using a semi complete data likelihood approach
... the likelihood is not generally available in closed form, but expressible only as an analyt- ically intractable ...the likelihood or use of a Bayesian data augmentation technique considering the complete ...
22
Functional GARCH models: the quasi likelihood approach and its applications
... innovative approach towards modelling time series ...based—an approach which is known to be relatively inefficient in this ...quasi-likelihood approach, for which we derive consistency and ...
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Geostatistical inference in the presence of geomasking:A composite likelihood approach
... composite likelihood that overcomes the inherent computational limits of the full likelihood method as set out in Fanshawe and Diggle ...proposed approach with an N-weighted least squares estimation ...
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A Maximum Likelihood Approach to Single-channel Source Separation
... This paper presents a new technique for achieving blind signal separation when given only a single channel recording. The main concept is based on exploiting a priori sets of time-domain basis func- tions learned by ...
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A Predictive Likelihood Approach to Bayesian Averaging
... In this paper, we dealt with only little explored part of the economy forecast area, namely combining multivariate density forecasts. At the fi rst, we have compared the accuracy of mean trivariate density forecasts of ...
8
A maximum likelihood approach to correlation dimension and entropy estimation
... To obtain the correlation dimension and entropy from an experimental time series we derive estimators for these quantities together with expressions for their variances [r] ...
14
A ridge restricted maximum likelihood approach to spatial models
... Linear models are common when performing a statistical analysis of scientific data. Although ordinary least squares regression (OLS) is one of the more popular approaches in basic statis- tical analysis, scientists may ...
137
A Maximum Likelihood Approach to Least Absolute Deviation Regression
... To overcome these limitations, the iterative algorithm must be modified exploiting the fact that the optimal solution is at an intersection of edge lines. Thus, if the search is di- rected along the edge lines, then a ...
8
Three-way interactions with latent variables : a maximum likelihood approach
... maximum likelihood for nonlinear latent variables models provided a new approach to the estimation of latent variable interaction ...maximum likelihood estimator for three-way inter- actions in ...
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Novel maximum likelihood approach for passive detection and localisation of multiple emitters
... The TALA is a batch estimation algorithm that utilises all measurements generated within a time window by an array of sensors, in order to detect and localise an unknown number of target events (i.e. intermittent sig- ...
24
Maximum likelihood approach to DoA estimation using lens antenna array
... communication systems. However, using large antenna arrays incurs additional cost in terms of signal processing and hardware complexity. The electromagnetic (EM) lens-focusing antennas are introduced as a promising ...
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Modelling stochastic volatility with leverage and jumps: a simulated maximum likelihood approach via particle filtering
... in the case of a highly persistent transition function, for example. But on the other hand, the discrete probabilities associated with these proposals will change as well, the implication of which is that the even if we ...
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Estimation of Technical and Allocative Inefficiencies in a Cost System: An Exact Maximum Likelihood Approach
... Schmidt and Lovell (1979) used the above framework to estimate a Cobb-Douglas production function for which the cost function can be derived analytically. Since there are not many production functions for which the cost ...
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A Likelihood Approach to Populations Samples of Microsatellite Alleles
... allele models because the potential number of transitions in the Markov chain is considerably reduced under the one-step mutation model. Evaluation of the estimator: The [r] ...
6
A QUASI-LIKELIHOOD APPROACH TO PARAMETER ESTIMATION FOR SIMULATABLE STATISTICAL MODELS
... The new simulation-based quasi-likelihood method allows to estimate parameters for statistical models where neither the likelihood nor moments or characteristics can be computed directly. The user is only ...
13
A Composite-Likelihood Approach for Detecting Directional Selection From DNA Sequence Data
... latter approach is applicable is as follows and the results of our analysis are summarized in since a fine-scale estimate requires hundreds of thousands of Figure ...
12
Various Approaches of Recognition of Digitally Modulated Signals
... Digital modulation techniques are use when the information signal is digital and the information signal is modulated by the amplitude, phase or frequency of a carrier. Various digital modulation techniques are used for ...
5
Discrete longitudinal data modeling with a mean correlation regression approach
... regression approach is constructed by using a copula model whose cor- relation parameters are innovatively represented in hyperspherical coordinates with no constraint on their ...full likelihood function ...
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