
CensMixReg
 Referenced in 12 articles
[sw21090]
 finite mixtures of multivariate Student$t$ distributions. This approach allows us to model data with ... efficient, EMtype algorithm for conducting maximum likelihood estimation of the parameters. The algorithm ... variance of the multivariate truncated Student$t$ distributions. Further, a general informationbased method ... approximating the asymptotic covariance matrix of the estimators is also presented. Results obtained from...

DPpackage
 Referenced in 72 articles
[sw10495]
 space of all regression functions. Unfortunately, posterior distributions ranging over function spaces are highly complex ... includes models for marginal and conditional density estimation, receiver operating characteristic curve analysis, intervalcensored ... prior, and a general purpose Metropolis sampling algorithm. To maximize computational efficiency, the actual sampling...

MEAPCA
 Referenced in 1 article
[sw34793]
 MEAPCA: a multipopulation evolutionary algorithm based on PCA for multiobjective optimization. The simulated ... regularity model based multiobjective estimated distribution algorithm, namely, RMMEDA that adopts a segmented...

otrimle
 Referenced in 15 articles
[sw17889]
 improper uniform distribution covering the whole Euclidean space. Parameters are estimated by (pseudo) maximum likelihood ... This is fitted by a EMtype algorithm. See Coretto and Hennig (2015)

AS 266
 Referenced in 3 articles
[sw34902]
 Algorithm AS 266: Maximum Likelihood Estimation of the Parameters of the Dirichlet Distribution...

CIRFE
 Referenced in 3 articles
[sw27640]
 distributed random fields estimator. The paper presents a communication efficient distributed algorithm, CIRFE ... example, when monitoring the highdimensional distributed state of a largescale infrastructure with...

dynesty
 Referenced in 9 articles
[sw28387]
 algorithms that focus exclusively on posterior estimation while retaining Nested Sampling’s ability to estimate ... evidences and sample from complex, multimodal distributions. We provide an overview of Nested Sampling ... extension to Dynamic Nested Sampling, the algorithmic challenges involved, and the various approaches taken...

ContaminatedMixt
 Referenced in 19 articles
[sw21014]
 mixtures of multivariate contaminated normal distributions as a tool for robust clustering and classification under ... expectationconditional maximization algorithm is adopted to obtain maximum likelihood parameter estimates, and likelihoodbased ... popular mixtures of multivariate normal and t distributions, this approach also allows for automatic detection...

ALDqr
 Referenced in 2 articles
[sw32636]
 Quantile Regression Using Asymmetric Laplace Distribution. EM algorithm for estimation of parameters and other methods...

DSTEM
 Referenced in 7 articles
[sw16413]
 missing data. Model estimation is based on the expectation maximization algorithm ... performed using a distributed computing environment to reduce computing time when dealing with large data ... sets. The estimated model is eventually used to dynamically map the variables over the geographic...

AS 189
 Referenced in 3 articles
[sw26377]
 Algorithm AS 189: Maximum likelihood estimation of the parameters of the beta binomial distribution...

ABCSubSim
 Referenced in 14 articles
[sw10099]
 Beck, “Estimation of small failure probabilities in high dimensions by subset simulation”, Probabilistic Engrg. Mech ... observation space. The efficiency of the algorithm is demonstrated in two examples that illustrate some ... show that the proposed algorithm outperforms other recent sequential ABC algorithms in terms of computational ... posterior distribution. We also show that ABCSubSim readily provides an estimate of the evidence...

AdMit
 Referenced in 8 articles
[sw09498]
 fits an adaptive mixture of Studentt distributions to the density of interest. Then, importance ... sampling or the independence chain MetropolisHastings algorithm is used to obtain quantities of interest ... importance or candidate density. The estimation procedure is fully automatic and thus avoids the time ... distribution. The second shows the relevance of the adaptive mixture procedure through the Bayesian estimation...

SBA
 Referenced in 24 articles
[sw05242]
 generic sparse bundle adjustment that is distributed under the GNU General Public License (GPL). Bundle ... vision algorithm to obtain optimal 3D structure and motion (i.e. camera matrix) parameter estimates. Provided...

ChoiceModelR
 Referenced in 3 articles
[sw15186]
 MCMC algorithm to estimate a hierarchical multinomial logit model with a normal heterogeneity distribution...

POMPUS
 Referenced in 9 articles
[sw02625]
 POMPUS: An optimized EIT reconstruction algorithm. Electrical impedance tomography (EIT) is a noninverse imaging ... imaged and a best estimate conductivity distribution. These optimal experiments can be derived from measurements ... boundary. We describe a reconstruction algorithm, known as POMPUS, which is based...

decon
 Referenced in 22 articles
[sw11088]
 goal is to estimate the density or distribution function from contaminated data; (2) nonparametric regression ... estimators computationally more efficient in R, we adapt the ”Fast Fourier Transform” (FFT) algorithm...

MORET
 Referenced in 5 articles
[sw24191]
 perturbation algorithms, source distribution convergence, statistical detection of stationarity, unbiased variance estimation and creation...

AS 203
 Referenced in 1 article
[sw27916]
 Algorithm AS 203. Maximum likelihood estimation of mixtures of distributions...

HOSIM
 Referenced in 8 articles
[sw38402]
 sequential simulation process, where local conditional distributions are generated using weighted orthonormal Legendre polynomials, which ... However, the threedimensional implementation of the algorithm is computationally very intensive. To address ... order of approximation used to estimate a conditional distribution and the number of data used ... negligible contributions and allows an efficient simulation algorithm to be developed. The current version...