
AISBN
 Referenced in 25 articles
[sw02223]
 importance function, and (3) a dynamic weighting function for combining samples from different stages ... general purpose sampling algorithms, likelihood weighting and selfimportance sampling. We used in our tests...

wle
 Referenced in 10 articles
[sw07112]
 package wle: Weighted Likelihood Estimation. Approach to the robustness via Weighted Likelihood...

QNet
 Referenced in 11 articles
[sw19662]
 TreePuzzle software [3] for generating likelihood quartet weights. Using the quartet data, QNet employs...

flexCWM
 Referenced in 9 articles
[sw16972]
 Weighted Modeling. Allows for maximum likelihood fitting of clusterweighted models, a class of mixtures...

AWS
 Referenced in 43 articles
[sw04034]
 package aws: Adaptive Weights Smoothing. The package contains Rfunctions implementing the PropagationSeparation Approach ... Spokoiny (2006), PropagationSeparation Approach for Local Likelihood Estimation, Prob. Theory and Rel. Fields...

robustloggamma
 Referenced in 2 articles
[sw15464]
 provided using Quantile Tau estimator, Weighted Likelihood estimator and Truncated Maximum Likelihood estimator. Functions...

cmm
 Referenced in 5 articles
[sw24365]
 Quite extensive package for maximum likelihood estimation and weighted least squares estimation of categorical marginal...

ForestFit
 Referenced in 1 article
[sw31035]
 moment, percentile, rank correlation, least square, weighted maximum likelihood, Ustatistic, weighted least square ... threeparameter case are: maximum likelihood, modified moment type 1, modified moment type 2, modified ... product spacing, TL moment, and weighted maximum likelihood. III) The Bayesian estimators...

robustBLME
 Referenced in 1 article
[sw32126]
 linear mixed effects models through weighted likelihood equations and approximate Bayesian computation as proposed...

twophase
 Referenced in 1 article
[sw24408]
 this task. sastwophasepackage implements weighted likelihood, pseudo likelihood and semiparametric maximum likelihood estimation...

TagProp
 Referenced in 13 articles
[sw11682]
 model to exploit labeled training images. Neighbor weights are based on neighbor rank or distance ... metric learning by directly maximizing the loglikelihood of the tag predictions in the training ... word specific sigmoidal modulation of the weighted neighbor tag predictions to boost the recall...

multipleNCC
 Referenced in 1 article
[sw14690]
 proportional hazard models with a weighted partial likelihood. It handles one or multiple endpoints, additional...

Spatial Statistics
 Referenced in 6 articles
[sw06026]
 sparse spatial weight matrices and finding the logdeterminants (needed for maximum likelihood). Hence...

MAMSE
 Referenced in 0 articles
[sw18460]
 weights can be used in a weighted likelihood or to define a mixture of empirical ... package includes functions for the MAMSE weighted KaplanMeier estimate and for MAMSE weighted...

RAxMLLight
 Referenced in 2 articles
[sw29595]
 supercomputers under maximum likelihood. It implements a lightweight checkpointing mechanism, deploys 128bit (SSE3 ... level message passing interface parallelization of the likelihood function. To demonstrate scalability and robustness...

IntScore
 Referenced in 2 articles
[sw29322]
 approach. It enables to weight individual interactions according to the likelihood that they actually take...

Nway Toolbox
 Referenced in 28 articles
[sw12996]
 using expectation maximization); Fitting models with a weighted least squares loss function (including MILES); Predicting ... generalized multiplicative ANOVA, MILES for maximum likelihood fitting, conload for congruence and correlation loadings, eemscat...

selectMeta
 Referenced in 1 article
[sw06784]
 discuss how to estimate a decreasing weight function in the above model and illustrate ... examples. Some basic properties of the loglikelihood function and computation of a $p$value ... weight function are indicated. In addition, we provide an approximate selection bias adjusted profile likelihood...

mipfp
 Referenced in 1 article
[sw17934]
 proportional fitting (IPFP), maximum likelihood, minimum chisquare and weighted least squares procedures for updating...

cgam
 Referenced in 3 articles
[sw15309]
 likelihood estimator for the constrained generalized additive model is found using an iteratively reweighted...