
fda (R)
 Referenced in 1461 articles
[sw04511]
 functional data analysis functions and sample analyses through the CRAN distribution system. This ... files containing the functions and sample analyses, as well as two .txt files giving instructions...

TSPLIB
 Referenced in 697 articles
[sw00983]
 TSPLIB is a library of sample instances for the TSP (and related problem) from various...

TETRAD
 Referenced in 430 articles
[sw12177]
 about the true structure in the large sample limit, provided that structure and the sample...

bootlib
 Referenced in 426 articles
[sw40642]
 resampling methods for use with single samples from parametric and nonparametric models. Chapter 3 extends ... basic ideas to several samples, semiparametric and smooth models. Significance and confidence intervals...

CoSaMP
 Referenced in 228 articles
[sw08727]
 Iterative signal recovery from incomplete and inaccurate samples. Compressive sampling offers a new paradigm ... basis. The major algorithmic challenge in compressive sampling is to approximate a compressible signal from ... noisy samples. This paper describes a new iterative recovery algorithm called CoSaMP that delivers ... requires only matrixvector multiplies with the sampling matrix. For compressible signals, the running time...

Stan
 Referenced in 286 articles
[sw10200]
 Stan: A C++ Library for Probability and Sampling. Stan is a probabilistic programming language implementing ... full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with...

EGO
 Referenced in 393 articles
[sw07588]
 surface and improving the approximation by sampling where the prediction error may be high...

BUGS
 Referenced in 378 articles
[sw07885]
 BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian...

NewtonLib
 Referenced in 298 articles
[sw04796]
 intended usage. Please read our sample license agreement (or the german version) for more details...

gss
 Referenced in 293 articles
[sw06099]
 conditional density estimation under a variety of sampling schemes; and (iii) hazard rate estimation with...

SMOTE
 Referenced in 149 articles
[sw34239]
 SMOTE: Synthetic Minority Oversampling Technique. An approach to the construction of classifiers from imbalanced ... cost of the reverse error. Undersampling of the majority (normal) class has been proposed ... combination of our method of oversampling the minority (abnormal) class and undersampling ... performance (in ROC space) than only undersampling the majority class. This paper also shows...

Bertini
 Referenced in 250 articles
[sw06683]
 Allows for witness set manipulation via both sampling and membership testing. Accepts square or nonsquare...

MEMSS
 Referenced in 208 articles
[sw11219]
 effects Models in S .Data sets and sample analyses from Pinheiro and Bates, ”Mixedeffects...

survival
 Referenced in 196 articles
[sw04364]
 penalised likelihood , survival analysis: descriptive statistics, twosample tests, parametric accelerated failure models, Cox model...

Cayley
 Referenced in 131 articles
[sw01053]
 some of the algorithms it incorporates. Four sample CAYLEY programs are given: a test ... easy and comfortable to use. As the sample programs show, novel approaches may be needed...

CXSC 2.0
 Referenced in 127 articles
[sw00182]
 have to be done. Note, that all sample codes given in [R. Klatte ... work properly with CXSC 2.0. Sample codes are available on the web page...

copula
 Referenced in 167 articles
[sw14499]
 package ’nacopula’ for nested Archimedean copulas: Efficient sampling algorithms, various estimators, goodnessoffit tests...

CMAES
 Referenced in 120 articles
[sw05063]
 evolution strategy, new candidate solutions are sampled according to a multivariate normal distribution ... candidate solutions is exploited for learning the sample distribution and neither derivatives nor even...

Wirtinger Flow
 Referenced in 110 articles
[sw34175]
 about which we have phaseless samples of the form ... knowledge of the phase of these samples would yield a linear system). This paper develops...

DGM
 Referenced in 152 articles
[sw39282]
 network is trained on batches of randomly sampled time and space points. The algorithm...