maximum likelihood approach
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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Maximum likelihood approach to DoA estimation using lens antenna array
... selection approach has received much attention [12, ...power approach can be tailored to choose an antennas which have the maximum power and its two nearby ...
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Three-way interactions with latent variables : a maximum likelihood approach
... UML approach is attempting to identify nonlinear relations in the data that are only identifiable from the raw data points by forcing a linear model upon the means and ...
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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- ...
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Estimation of Road Vehicle Speed Using Two Omnidirectional Microphones: A Maximum Likelihood Approach
... In this paper we address the problem of how to di- rectly estimate the speed of a vehicle moving along a known transversal path (e.g., a car on a road) from its acoustic signa- ture. Previous related work using a single ...
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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 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 ...
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A Maximum Likelihood Approach to Least Absolute Deviation Regression
... Least absolute deviation (LAD) regression is an important tool used in numerous applications throughout science and engineer- ing, mainly due to the intrinsic robust characteristics of LAD. In this paper, we show that ...
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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] ...
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Various Approaches of Recognition of Digitally Modulated Signals
... using maximum likelihood approach, it depends on mean, variance and used signal parameter pulse shape, time of arrival initial phase and requires more signal parameters knowledge as compare to ...
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Active model matching in range images
... The maximum likelihood approach uses the X, Y, and Z values of the noise point to determine which nearby surface that point belongs to. In this approach,[r] ...
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Factor correction as a tool to eliminate between session variation in replicate experiments: application to molecular biology and retrovirology
... This maximum likelihood approach results in a set of ses- sion factors (F n ) as well as estimates of condition means (Y i ...the maximum likelihood approach also estimates ...
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Efficient maximum likelihood pedigree reconstruction
... the likelihood of the profile according to the true pedigree, and the maximum likelihood were ...the maximum likelihood pedigree for each pedigree ...
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Smoothing Algorithms by Constrained Maximum Likelihood
... constrained maximum likelihood, with a fair risk scale determined by constrained maximum likelihood, leading to more robust credit loss ...
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Maximum likelihood estimation of population parameters.
... Under the assumptions that sequences are infinitely long and that the scaled coalescent times can be estimated without error, FELSENSTEIN (1992) showed that the improvement [r] ...
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Chen_unc_0153D_14672.pdf
... In genome-wide association (GWA) studies, the goal is to identify the genetic factors such as single nucleotide polymorphisms (SNPs) that are associated with dis- eases. With the availability of a dense map of SNPs, it ...
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Exact properties of the maximum likelihood estimator in exponential regression models: a differential geometry approach
... an approach suggested by Huber (1964) (see also Shephard (1993)), and characteristic function inversion techniques, to deduce some properties of the density for the cases k = 1 and k = 2, but this approach ...
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Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution
... A family of positively skewed distributions known as kappa distributions introduced by Mielke [3] and Mielke and Johnson [4], is very popular for analyzing precipita- tion data (cf. Park et al. [5], Kysely and Picek [6], ...
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A simple approach to maximum intractable likelihood estimation
... the likelihood is intractable, such a statistic may not be ...the likelihood approx- imation in this setting, it is difficult to draw useful conclusions from such a char- ...
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Distributions of Maximum Likelihood Estimators and Model Comparisons
... In the remainder of this section and in Section 4, it will be assumed that the parameters for the formulae are al- ready known before generating the estimator densities. This is of course not the case when confronted ...
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