• ASTRO-DF

  • 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]
  • Multi-person Pose Estimation. Multi-person 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 single-person pose estimator (SPPE), especially for methods that solely depend...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • fuzzy systems with respect to least-squares error measure by applying a sparsity-constrained steepest ... some rules (rule selection). The third phase estimates the linear consequent parameters by a regularized ... constrained-optimization 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 by-product ... 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...
  • EnKF-MC

  • 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 well-calibrated type-I 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 per-pixel Gaussian errors, or else user-supplied 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 high-dimensional random-effects model ... phenomena. Infinite-worker 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 defect-based error estimator. The performance of our package is illustrated...
  • CensRegMod

  • Referenced in 1 article [sw21092]
  • errors. A simple EM-type algorithm for iteratively computing maximum-likelihood estimates of the parameters ... proposed model, case-deletion 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 cross-validation-based 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 Heavy-Tailed Distributions. It estimates the parameters of a partially linear regression ... including a parametric and nonparametric component. The error term considered belongs to the scale-mixture ... fitted model, case-deletion and local influence techniques are provided to show its robust aspect...
  • ESL-SELO

  • 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...