• PuFFIN

  • Referenced in 2 articles [sw22390]
  • prevents users from choosing the ”wrong” parameters and obtain sub-optimal nucleosome maps. RESULTS: PuFFIN ... particular value of the smoothing parameter. After a set of candidate nucleosomes is computed...
  • Prometheus

  • Referenced in 7 articles [sw07935]
  • reduce tangles and crossings are “smoothing” of data and parameters, and redistribution of vertices...
  • boostmtree

  • Referenced in 2 articles [sw20721]
  • splines (P-splines) with estimated adaptive smoothing parameter...
  • tsBCF

  • Referenced in 2 articles [sw40583]
  • prognostic effect of control covariates. Smoothing parameters for prognostic and treatment effects can be chosen ... expectation that the treatment effect varies smoothly over gestation but not necessarily over other covariates...
  • nprotreg

  • Referenced in 2 articles [sw40639]
  • Cross-validation is exploited to select smoothing parameters. See Marco Di Marzio, Agnese Panzera & Charles...
  • Mspline

  • Referenced in 1 article [sw26181]
  • type smoothing splines with the smoothing parameter chosen by a robust criterion (either a robust ... Resistant selection of the smoothing parameter for smoothing splines. Statistics and Computing...
  • brms

  • Referenced in 32 articles [sw19099]
  • Further modeling options include auto-correlation and smoothing terms, user defined dependence structures, censored data ... quite a few more. In addition, all parameters of the response distribution can be predicted...
  • SLEP

  • Referenced in 42 articles [sw13487]
  • convergence rate O(1/k2) is optimal for smooth convex optimization via the first-order black ... solutions corresponding to a series of regularization parameters by the “warm-start” technique...
  • bamlss

  • Referenced in 11 articles [sw24276]
  • every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar...
  • EL

  • Referenced in 2 articles [sw30087]
  • difference of two location parameters using smoothed M-estimators We consider one of the classical ... smoothed M-estimators. To deal with additional nuisance scale parameters, we use the plug ... consider the important case of the smoothed Huber M-estimator. Our empirical results show that ... inference about the difference of two location parameters. The software implementation for the new empirical...
  • LOWLAD

  • Referenced in 1 article [sw02678]
  • algorithm with cross validated choice of smoothing parameters...
  • npreg

  • Referenced in 1 article [sw41482]
  • types, and eight different methods for smoothing parameter selection...
  • pendensity

  • Referenced in 1 article [sw11720]
  • splines with automatic selection of optimal smoothing parameter...
  • Kalman filter toolbox

  • Referenced in 2 articles [sw13082]
  • Matlab. This toolbox supports filtering, smoothing and parameter estimation (using EM) for Linear Dynamical Systems...
  • RobRSVD

  • Referenced in 1 article [sw39426]
  • cross validation to choose the optimal smoothing parameters...
  • qgam

  • Referenced in 1 article [sw40863]
  • package. Differently from ’quantreg’, the smoothing parameters are estimated automatically by marginal loss minimization, while...
  • bayesImageS

  • Referenced in 1 article [sw17546]
  • Swendsen-Wang. Algorithms for the smoothing parameter include pseudolikelihood, path sampling, the exchange algorithm...
  • SpecSolve

  • Referenced in 1 article [sw39807]
  • convergence in terms of a smoothing parameter for computing spectral measures of general differential, integral...
  • scdensity

  • Referenced in 1 article [sw37434]
  • requiring the researcher to choose a smoothing parameter a priori. In this article, we outline...
  • SSM

  • Referenced in 3 articles [sw24401]
  • tering and smoothing, simulation smoothing, likelihood evaluation, parameter estimation, signal extraction and forecasting, with incorporation...