
ASTRODF
 Referenced in 12 articles
[sw26833]
 stochastic local model is constructed, optimized, and updated iteratively. Function estimation and model construction within ... continuously monitoring and balancing measures of sampling error (or variance) and structural error (or model...

RMPE
 Referenced in 2 articles
[sw39255]
 Multiperson Pose Estimation. Multiperson pose estimation in the wild is challenging. Although state ... detectors have demonstrated good performance, small errors in localization and recognition are inevitable. These errors ... cause failures for a singleperson pose estimator (SPPE), especially for methods that solely depend...

SparseFIS
 Referenced in 11 articles
[sw13736]
 fuzzy systems with respect to leastsquares error measure by applying a sparsityconstrained steepest ... some rules (rule selection). The third phase estimates the linear consequent parameters by a regularized ... constrainedoptimization procedure for each rule separately (local learning approach). Sparsity constraints are applied...

smoots
 Referenced in 1 article
[sw35248]
 memory stationary errors can be estimated. The estimation is conducted via local polynomial regression using...

SFCHECK
 Referenced in 1 article
[sw16888]
 gives several estimates of the average error in the atomic coordinates. The local agreement between...

ivqte
 Referenced in 2 articles
[sw37478]
 also provides analytical standard errors and various options for nonparametric estimation. As a byproduct ... locreg command implements local linear and local logit estimators for mixed data (continuous, ordered discrete...

ULySS
 Referenced in 0 articles
[sw38474]
 study the degeneracies, local minima and to estimate the errors. Results. We show the importance ... often a unique minimum, or when local minima exist they can unambiguously be recognized...

EnKFMC
 Referenced in 4 articles
[sw15209]
 allows to obtain sparse estimators of the inverse background error covariance matrix. The computational effort ... compared against those obtained using the local ensemble transform Kalman filter (LETKF). Tests are performed ... modified Cholesky for inverse covariance matrix estimation can reduce the impact of spurious correlations during ... LETKF in terms of root mean square error...

MethylSig
 Referenced in 4 articles
[sw23506]
 also incorporate local information to improve group methylation level and/or variance estimation for experiments with ... methylSig maintains a wellcalibrated typeI error when the number of samples is three...

MOTABAR
 Referenced in 2 articles
[sw12739]
 study a novel nonparametric method for estimating the value and several derivatives of an unknown ... values are known only up to measurement errors having some assumed distribution and correlation structure ... moving position of interest. When measurement errors are neglected, MOTABAR becomes a multivariate interpolation method ... local or piecewise polynomial regression, Lagrange interpolation, inverse distance weighting, and nearest neighbor estimation...

picasso
 Referenced in 3 articles
[sw20406]
 which has significantly less estimation error and overfitting compared to convex penalty such as lasso ... linear convergence to a unique sparse local optimum with optimal statistical properties. The computation...

Imfit
 Referenced in 2 articles
[sw29005]
 offs between speed and decreased sensitivity to local minima in the fit landscape. Minimization ... data or model values to estimate perpixel Gaussian errors, or else usersupplied error...

L2WPMA
 Referenced in 9 articles
[sw04326]
 weighted sum of the squares of the errors by requiring k − 1 sign changes ... This calculation can have about O(nk) local minima, because the positions of the turning ... where σ is the number of local minima of the data, always bounded ... have useful applications as, for example, in estimating the turning points of a function from...

qvality
 Referenced in 1 article
[sw35274]
 probabilities. Qvality is a C++ program for estimating two types of standard statistical confidence measures ... posterior error probability (PEP, also known as the local false discovery rate), which corresponds ... qvality employs a standard bootstrap procedure to estimate the prior probability of a score being...

WONDER
 Referenced in 4 articles
[sw35432]
 each machine. By analyzing the mean squared error in a highdimensional randomeffects model ... phenomena. Infiniteworker limit: The distributed estimator works well for very large numbers of machines ... Optimal weights: The optimal weights for combining local estimators sum to more than unity...

Flows
 Referenced in 1 article
[sw17942]
 arising in the analysis of the local error of operator splitting methods. It enabled ... asymptotical correctness of a defectbased error estimator. The performance of our package is illustrated...

CensRegMod
 Referenced in 1 article
[sw21092]
 errors. A simple EMtype algorithm for iteratively computing maximumlikelihood estimates of the parameters ... proposed model, casedeletion and local influence techniques are developed to show its robust aspect ... analysis of the sensitivity of the EM estimates under some usual perturbation schemes ... real data set first analysed under normal errors. The proposed algorithm and methods are implemented...

sharpData
 Referenced in 1 article
[sw34928]
 estimator for any degree of local polynomial regression estimation. A crossvalidationbased bandwidth selector ... performance, according to a median integrated squared error criterion. Sample data sets are provided...

PartCensReg
 Referenced in 2 articles
[sw38438]
 Models Based on HeavyTailed Distributions. It estimates the parameters of a partially linear regression ... including a parametric and nonparametric component. The error term considered belongs to the scalemixture ... fitted model, casedeletion and local influence techniques are provided to show its robust aspect...

ESLSELO
 Referenced in 1 article
[sw21610]
 good property of tolerating system errors or measuring noise. In this paper, we propose ... estimator. Theoretical result showed that our method has a local optimal solution and good asymptotic...