• TOMS659

  • Referenced in 136 articles [sw10686]
  • because low discrepancy sequences tend to sample space ”more uniformly” than random numbers. Algorithms that...
  • cmprsk

  • Referenced in 134 articles [sw11073]
  • Gray (1988), A class of K-sample tests for comparing the cumulative incidence...
  • U-Net

  • Referenced in 94 articles [sw33176]
  • deep networks requires many thousand annotated training samples. In this paper, we present a network ... data augmentation to use the available annotated samples more efficiently. The architecture consists...
  • SuLQ

  • Referenced in 125 articles [sw11355]
  • amount of noise -- much less than the sampling error -- provided the total number of queries...
  • GradSamp

  • Referenced in 114 articles [sw05270]
  • robust gradient sampling algorithm for nonsmooth, nonconvex optimization The authors describe a practical and robust...
  • TestU01

  • Referenced in 114 articles [sw08033]
  • determine how large should be the sample size of the test, as a function...
  • DPpackage

  • Referenced in 68 articles [sw10495]
  • function spaces are highly complex and hence sampling methods play a key role. This paper ... process prior, and a general purpose Metropolis sampling algorithm. To maximize computational efficiency, the actual ... sampling for each model is carried out using compiled C, C++ or Fortran code...
  • SICStus

  • Referenced in 108 articles [sw12440]
  • interactive development environment, and describe a sample of key applications. Finally, we try to identify...
  • boa

  • Referenced in 91 articles [sw04493]
  • graphical analysis of Markov chain Monte Carlo sampling output...
  • Survey

  • Referenced in 50 articles [sw08163]
  • package survey: analysis of complex survey samples. Summary statistics, two-sample tests, generalised linear models ... maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor ... Graphics. Predictive margins by direct standardization. PPS sampling without replacement. Principal components, factor analysis...
  • RAGlib

  • Referenced in 64 articles [sw00774]
  • such as testing the emptiness or computing sampling points in each connected component of their ... existence of real solutions and to compute sample points in each connected component...
  • DGM

  • Referenced in 89 articles [sw39282]
  • network is trained on batches of randomly sampled time and space points. The algorithm...
  • SDaA

  • Referenced in 60 articles [sw11941]
  • SDaA: Sampling: Design and Analysis. Functions and Datasets from Lohr, S. (1999), Sampling: Design...
  • LOLIB

  • Referenced in 83 articles [sw12655]
  • LOLIB is a library of sample instances for the linear ordering problem. LOLIB includes data...
  • SOFTSUSY

  • Referenced in 80 articles [sw01415]
  • indicates the conventions and approximations used. Sample results are compared with similar calculations...
  • Metro

  • Referenced in 78 articles [sw07731]
  • adopts an approximated approach based on surface sampling and point-to-surface distance computation...
  • OpenBUGS

  • Referenced in 78 articles [sw08316]
  • package for performing Bayesian inference Using Gibbs Sampling. The user specifies a statistical model...
  • TwoCop

  • Referenced in 56 articles [sw12359]
  • provide inference for independent or paired samples. The multiplier central limit theorem is used ... Cramér-von Mises test statistic. Finite sample properties are assessed with Monte Carlo experiments...
  • LIMDEP

  • Referenced in 77 articles [sw04925]
  • continuous variables and a variety of sample selection models. No other program offers a wider...
  • VEGAS

  • Referenced in 55 articles [sw07171]
  • algorithm of Lepage is based on importance sampling. It samples points from the probability distribution...