
PITCON
 Referenced in 259 articles
[sw04244]
 solving systems of nonlinear equations. Chapter 7: Parametrized systems of equations. Continuation methods, in particular ... equations approach, the code PITCON and simplicial approximation of manifolds are contained. (netlib contin...

MISER3
 Referenced in 81 articles
[sw04190]
 idea of control parametrization in which the controls are approximated by piecewise constant or piecewise...

Church
 Referenced in 50 articles
[sw08946]
 PCFGs, planning by inference, and various nonparametric clustering models. Finally, we show ... query on any Church program, exactly and approximately, using Monte Carlo techniques...

ParLinSys
 Referenced in 19 articles
[sw06461]
 solution set of parametric interval linear systems and an inner approximation of the solution enclosure...

AABC
 Referenced in 6 articles
[sw16116]
 Approximate Bayesian computation (ABC) methods perform inference on modelspecific parameters of mechanistically motivated parametric ... inexpensive simulation of data sets from the parametric model of interest. However, when simulating data ... inference is not straightforward. We present approximate approximate Bayesian computation” (AABC), a class of methods ... mechanistic statistical model that approximates the correct parametric model and enables efficient simulation...

PhyML
 Referenced in 11 articles
[sw10915]
 sound statistical framework (the nonparametric bootstrap and the approximate likelihood ratio test). (http://packages.ubuntu.com...

vx_dbel
 Referenced in 3 articles
[sw37455]
 Distributions and KSample Comparisons. In practice, parametric likelihoodratio techniques are powerful statistical tools ... distributionfree test statistics that efficiently approximate parametric likelihood ratios to analyze and compare distributions...

TIFISS
 Referenced in 8 articles
[sw23889]
 estimates of the error reduction for enhanced approximations. These error reduction indicators are used ... adaptive refinement of spatial and parametric components of Galerkin approximations. The results of numerical tests...

BLSURF
 Referenced in 5 articles
[sw10379]
 surfaces are approximated by polynomial or rational parametric patches as is the case for most ... closely approximates the geometry of the surface. It consists of meshing a 2D parametric domain...

Resampling Stats
 Referenced in 12 articles
[sw06019]
 parametric and nonparametric tests based on complicated mathematics and arcane approximations, the basic resampling...

ssym
 Referenced in 5 articles
[sw14396]
 semiparametric functions, whose nonparametric components may be approximated by natural cubic splines...

MsdeParEst
 Referenced in 17 articles
[sw25419]
 Estimation in MixedEffects Stochastic Differential Equations. Parametric estimation in stochastic differential equations with random ... drift, or in the diffusion or both. Approximate maximum likelihood methods are used. M. Delattre...

BayesGESM
 Referenced in 2 articles
[sw22576]
 presence of a nonparametric components approximated by using Bsplines...

BSL
 Referenced in 1 article
[sw29747]
 alternative to standard, nonparametric approximate Bayesian computation (ABC). BSL assumes a multivariate normal distribution ... estimator to the normal density. A semiparametric version of BSL (semiBSL...

frailtypack
 Referenced in 40 articles
[sw06070]
 hazard function but also a parametric estimation. 1) A shared gamma frailty model ... smoothing parameter is possible using an approximated crossvalidation procedure. 2) Additive frailty models...

spdep
 Referenced in 33 articles
[sw04578]
 Moran’s I and Getis/Ord G, saddlepoint approximations and exact tests for global and local ... spatial regression models, semiparametric and Moran eigenvector spatial filtering, GM SAR error models...

bsa
 Referenced in 5 articles
[sw26370]
 conditions that a parametric model is believed to hold approximately. We use a Bayesian approach ... this prior concentrates its mass around the parametric family. A Gibbs sampling algorithm to estimate...

SmoothHazard
 Referenced in 4 articles
[sw14710]
 intensities or a semiparametric approach with Msplines approximation of baseline intensities in order ... conducted by likelihood maximization in the parametric approach or penalized likelihood maximization in the semi...

MEANS
 Referenced in 1 article
[sw27253]
 tool implementing an efficient moment expansion approximation with parametric closures that integrates well with ... system. In addition to the approximation method our package provides numerous tools to help...

sIPOPT
 Referenced in 3 articles
[sw06885]
 from estimating sensitivities for parametric NLPs, the program provides approximate NLP solutions for nonlinear model...