[PDF] Top 20 Maximum Likelihood Estimation of Feature Based Distributions
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Maximum Likelihood Estimation of Feature Based Distributions
... This idea is not new. It is explicit in Facto- rial Hidden Markov Models (FHMMs) (Ghahra- mani and Jordan, 1997; Saul and Jordan, 1999), and more recently underlies approaches to de- scribing and inferring regular string ... See full document
10
A simple approach to maximum intractable likelihood estimation
... ducting likelihood-based inference, despite the complexity of the corresponding likelihood function, on time series models which allow for simulating realisations at any parameter ...parameter ... See full document
24
Model-Free IRL Using Maximum Likelihood Estimation
... learned feature weights and corre- sponding final log-likelihood values of trajectories using our model-free IRL approach as well as the existing baselines MLIRL and REIRL, based on 10 independent ... See full document
8
Maximum Entropy and Maximum Likelihood Estimation for the Three Parameter Kappa Distribution
... skewed distributions known as kappa distributions introduced by Mielke [3] and Mielke and Johnson [4], is very popular for analyzing precipita- tion data ...of estimation for this type of data ... See full document
5
A semi parametric GARCH (1, 1) estimator under serially dependent innovations
... quasi-maximum likelihood estimation technique and then consistency and asymptotic normality are proved using the weak law of large numbers and Linde-berg central limit theorem ...quasi-maximum ... See full document
68
The Uncertainty Reduction for the Refined Sample Mean of Combined Quantities
... quantile-based maximum likelihood estimation (QMLE) to mean value estimation of normal distribution in sparse data condition was ...the maximum coverage as quantiles so as to ... See full document
6
On the Approximate Maximum Likelihood Estimation for Diffusion Processes
... full maximum likelihood estimation (MLE) based on discretely observed sample ...approximate maximum likelihood estimation (AMLE) for ... See full document
39
Maximum Likelihood Estimation of the Multivariate Normal Mixture Model
... In this paper we explicitly derive the score and Hessian matrix for the multivariate normal mixture model, and use the results to estimate the infor- mation matrix. This provides a twofold extension of Behboodian (1972) ... See full document
26
Joint Angle-Delay Estimation Based on Smoothed Maximum-Likelihood Algorithm
... Figure 5 depicts measured PDP by averaging over observations and remainder PDP by taking away the estimated specular components from measured data as introduced in [16]. TOAs and DOAs of 4 independent specular paths are ... See full document
19
Maximum-Likelihood Estimation of Coalescence Times in Genealogical Trees
... profile likelihood while PAML use asymptotic normality of the MLEs and estimates the variance of the MLEs from the information ...The likelihood-based ... See full document
12
Estimation and tests for power-transformed and threshold GARCH models
... quasi-maximum likelihood estimators (QMLE) of the parameters under the condition that the error distribution has finite fourth ...deviations estimation (LADE) for PTTGARCH(p,q) model, and prove that ... See full document
39
Maximum likelihood estimation for directional conditionally autoregressive models
... We plot the the log-transformed crime rates that are divided into 5 intervals of each 20% quantiles in Figure 2. From original data, we observe that Y 4 and Y 17 have extremely small values. The region S 4 is on a ... See full document
33
Asymptotics of Maximum Composite Likelihood Estimation for Geostatistical Data
... Stein et al. (2004) extended the above work by investigating the effect of conditioning on observations that are not necessarily the nearest neighbours. This is done in the context of restricted maximum com- ... See full document
94
Approximate maximum likelihood estimation for population genetic inference
... simulation based approximate maximum likelihood methods have been proposed that estimate the likelihood surface in an ABC like fashion (Creel and Kristensen, 2013; Rubio and Johansen, 2013) or ... See full document
22
Change Point Estimation of the Stationary State in Auto Regressive Moving Average Models, Using Maximum Likelihood Estimation and Singular Value Decomposition-based Filtering
... point estimation has been utilized in the stationary state of auto regressive moving average (ARMA) (1, ...the maximum likelihood technique, an approach will be developed for the estimation of ... See full document
11
Research on Initialization on EM Algorithm Based on Gaussian Mixture Model
... the maximum-likelihood estimates ( MLEs ) for mixture distributions is the EM algorithm ( Dempster et ...the maximum likelihood estimate when the observation data is incomplete data, ... See full document
7
Maximum-Likelihood Estimation of Relatedness
... the maximum-likelihood ...alleles distributions to vary across loci; however, the first two the Queller and Goodnight (1989) estimator is unde- are useful for isolating the effects of each ... See full document
16
Distributions of Maximum Likelihood Estimators and Model Comparisons
... θ in terms of the underlying data, which is useful because the MLE can usually only be found by an iterative esti- mation routine. The formulae however differ from each other in that (2) eschews the use of an expectation ... See full document
7
Maximum Likelihood Estimation of Population Growth Rates Based on the Coalescent
... the estimation of exponential growth from Method using Averages (UPGMA) genealogies from these dis- genealogical data and are not due to the Metropolis- ... See full document
6
Sample size re-estimation in paired comparative diagnostic accuracy studies with a binary response
... size estimation and re-estimation method based on the maximum likelihood estimates, under an implied multinomial model, of the observed values of conditional dependence between the two ... See full document
11
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