
Adam
 Referenced in 615 articles
[sw22205]
 stochastic objective functions, based on adaptive estimates of lowerorder moments. The method is straightforward...

AWS
 Referenced in 46 articles
[sw04034]
 functions implementing the PropagationSeparation Approach to adaptive smoothing as described in J. Polzehl ... PropagationSeparation Approach for Local Likelihood Estimation, Prob. Theory and Rel. Fields ... Polzehl and V. Spokoiny (2004) Spatially adaptive regression estimation: Propagationseparation approach, WIASPreprint...

fdrtool
 Referenced in 30 articles
[sw08196]
 Higher Criticism. This package allows to estimate both tail areabased false discovery rates ... parameters of the null distribution are adaptively estimated from the data. In addition, the package...

BIONJ
 Referenced in 30 articles
[sw08301]
 estimates. This model is well adapted when these estimates are obtained from aligned sequences...

hgam
 Referenced in 73 articles
[sw11201]
 estimator for high dimensional but sparse additive models. Finally, an adaptive version of our sparsity...

p1afem
 Referenced in 37 articles
[sw08489]
 provide a Matlab package p1afem for an adaptive P1finite element method (AFEM). This includes ... data, different error estimators, and an indicatorbased adaptive meshrefining algorithm. Throughout, the focus...

Mesquite
 Referenced in 36 articles
[sw10590]
 vector fields, and Radapt meshes to solutions using error estimates. Mesquite improves surface...

bvpsuite
 Referenced in 25 articles
[sw08540]
 discuss the a posteriori error estimate and the grid adaptation strategy implemented in our code...

BayesSpec
 Referenced in 13 articles
[sw38471]
 well as appropriate plotting and output estimates. There is segmentation capability with RJ MCMC (Reversible ... predominantly from the 2012 paper ”AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series...

maiprogs
 Referenced in 13 articles
[sw07912]
 Methods; Fast Solvers and Preconditioners: Error estimators and adaptive algorithms...

decon
 Referenced in 20 articles
[sw11088]
 make the deconvolution estimators computationally more efficient in R, we adapt the ”Fast Fourier Transform...

CAPTAIN
 Referenced in 35 articles
[sw14783]
 aspects of identification, estimation, nonstationary time series analysis and signal processing, adaptive forecasting and automatic...

AdaPT
 Referenced in 6 articles
[sw30027]
 procedure which we call AdaPT, which adaptively estimates a Bayes optimal (p)value rejection threshold ... until the estimated false discovery proportion is below (alpha). Our procedure is adaptive ... machine learning method she chooses to estimate the optimal threshold, and to switch between different ... accrues. We demonstrate the favourable performance of AdaPT by comparing it with state...

glmmML
 Referenced in 9 articles
[sw07509]
 fitted using a maximum likelihood estimator with adaptive GaussHermite and Laplace quadrature approximations...

Sbvp
 Referenced in 28 articles
[sw13727]
 efficient estimate of the global error is used for adaptive mesh selection. Here, we analyze...

cvDSA
 Referenced in 4 articles
[sw06346]
 computation and Double Robust estimators (dataadaptive estimation with crossvalidation and the D/S/A algorithm...

akdensity
 Referenced in 6 articles
[sw37365]
 Adaptive kernel density estimation. This insert describes the module akdensity. akdensity extends the official kdensity ... that estimates density functions by the kernel method. The extensions are of two types: akdensity ... adaptive kernel” approach with varying, rather than fixed, bandwidths; and akdensity estimates pointwise variability bands...

SBA
 Referenced in 24 articles
[sw05242]
 intrinsically calibrated cameras, exterior orientation (i.e. pose) estimation from fixed 3D points, refinement of intrinsic ... user has to do to adapt sba to any such problem is to supply ... with appropriate routines for computing the estimated image projections and their Jacobian for the problem...

ibr
 Referenced in 7 articles
[sw11227]
 Recursive bias estimation for multivariate regression smoothers. This paper presents a practical and simple fully ... that adapts to the underlying smoothness of the true regression function. Our estimator is easily ... knowledge, no other adaptive fully nonparametric regression estimator is available without constrained assumption such...

CADRE
 Referenced in 25 articles
[sw20479]
 employs an adaptive scheme whereby CADRE is found as the sum of estimates...