• AIS-BN

• 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 self-importance 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]
• Tree-Puzzle software [3] for generating likelihood quartet weights. Using the quartet data, QNet employs...

• flexCWM

• Referenced in 12 articles [sw16972]
• Weighted Modeling. Allows for maximum likelihood fitting of cluster-weighted models, a class of mixtures...

• AWS

• Referenced in 44 articles [sw04034]
• package aws: Adaptive Weights Smoothing. The package contains R-functions implementing the Propagation-Separation Approach ... Spokoiny (2006), Propagation-Separation 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, U-statistic, weighted least square ... three-parameter case are: maximum likelihood, modified moment type 1, modified moment type 2, modified ... product spacing, T-L 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. sas-twophase-package implements weighted likelihood, pseudo likelihood and semiparametric maximum likelihood estimation...

• TagProp

• Referenced in 16 articles [sw11682]
• model to exploit labeled training images. Neighbor weights are based on neighbor rank or distance ... metric learning by directly maximizing the log-likelihood of the tag predictions in the training ... word specific sigmoidal modulation of the weighted neighbor tag predictions to boost the recall...

• Spatial Statistics

• Referenced in 8 articles [sw06026]
• sparse spatial weight matrices and finding the log-determinants (needed for maximum likelihood). Hence...

• WemIQ

• Referenced in 1 article [sw34552]
• among isoforms. Results: We present a weighted-log-likelihood expectation maximization method on isoform quantification ... integrates an effective bias removal with a weighted expectation maximization (EM) algorithm to distribute reads...

• multipleNCC

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

• 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 Kaplan-Meier estimate and for MAMSE weighted...

• COMODE

• Referenced in 3 articles [sw36145]
• contemporary biology. We propose a new likelihood based method, COMODE, for identifying structural motifs ... position weight matrix (PWM) and identify PWMs that maximize the likelihood of observed sequence data...

• RAxML-Light

• Referenced in 2 articles [sw29595]
• supercomputers under maximum likelihood. It implements a light-weight checkpointing mechanism, deploys 128-bit (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...

• N-way Toolbox

• Referenced in 29 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...

• cgam

• Referenced in 4 articles [sw15309]
• likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted...