• 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 matrix-vector 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 Over-sampling Technique. An approach to the construction of classifiers from imbalanced ... cost of the reverse error. Under-sampling of the majority (normal) class has been proposed ... combination of our method of over-sampling the minority (abnormal) class and under-sampling ... performance (in ROC space) than only under-sampling 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, ”Mixed-effects...

• survival

• Referenced in 196 articles [sw04364]
• penalised likelihood , survival analysis: descriptive statistics, two-sample 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...

• C-XSC 2.0

• Referenced in 127 articles [sw00182]
• have to be done. Note, that all sample codes given in [R. Klatte ... work properly with C-XSC 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, goodness-of-fit tests...

• CMA-ES

• 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...