• MIM

  • Referenced in 134 articles [sw26139]
  • Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover hypothesis testing...
  • bnlearn

  • Referenced in 78 articles [sw08265]
  • discrete and Gaussian networks, along with many score functions and conditional independence tests. The Naive...
  • ghyp

  • Referenced in 29 articles [sw08162]
  • Variance Gamma (VG), skewed Student-t and Gaussian distribution). Especially, it contains fitting procedures ... likelihood ratio test. In addition, it contains the Generalized Inverse Gaussian distribution...
  • ParEGO

  • Referenced in 68 articles [sw10968]
  • latin hypercube and updates a Gaussian processes surrogate model of the search landscape after every ... largest expected improvement. The two algorithms are tested using a benchmark suite of nine functions...
  • GPflow

  • Referenced in 26 articles [sw21518]
  • process library using tensorflow. GPflow is a Gaussian process library that uses TensorFlow ... engineered with a particular emphasis on software testing and is able to exploit GPU hardware...
  • MCPAN

  • Referenced in 6 articles [sw25776]
  • power calculation for multiple contrast tests of binomial and Gaussian data...
  • BGGM

  • Referenced in 3 articles [sw34119]
  • Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing ... There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability...
  • goft

  • Referenced in 5 articles [sw32717]
  • Probability Distributions. Goodness-of-fit tests for gamma, inverse Gaussian, log-normal, ’Weibull’, ’Frechet’, Gumbel...
  • GATE

  • Referenced in 6 articles [sw06442]
  • initially calibrated using a Gaussian landscape generator as test case, is shown to be very...
  • localgauss

  • Referenced in 7 articles [sw14530]
  • Gaussian parameters. Local Gaussian parameters are useful for characterizing and testing for non-linear dependence...
  • bayest

  • Referenced in 5 articles [sw33317]
  • Sample t-Tests via Markov Chain Monte Carlo in Gaussian Mixture Models. Provides an Markov ... Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. The underlying Gibbs ... sampler is based on a two-component Gaussian mixture and approximates the posterior distributions...
  • BBGP

  • Referenced in 2 articles [sw34286]
  • Gaussian process test for high-throughput sequencing time series: application to experimental evolution. Results ... present the beta-binomial Gaussian process model for ranking features with significant non-random variation ... sequencing depth and combine it with a Gaussian process model over the time series ... data, the proposed method clearly outperforms classical testing in average precision of finding selected alleles...
  • HTK

  • Referenced in 15 articles [sw07937]
  • testing and results analysis. The software supports HMMs using both continuous density mixture Gaussians...
  • HOSA

  • Referenced in 2 articles [sw21993]
  • much more information in a stochastic non-Gaussian or deterministic signal than is conveyed ... implemented. Also included are algorithms for testing of Gaussianity and Linearity of a time series...
  • laGP

  • Referenced in 28 articles [sw14043]
  • laGP: Local Approximate Gaussian Process Regression. Performs approximate GP regression for large computer experiments ... prediction over a vast out-of-sample testing set; GPU acceleration is also supported...
  • GPstuff

  • Referenced in 25 articles [sw12867]
  • GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required ... work also, but the code is not tested with them). Most of the functionality works...
  • gcmr

  • Referenced in 31 articles [sw07433]
  • paper identifies and develops the class of Gaussian copula models for marginal regression analysis ... used. Residual analysis and a specification test are suggested for validating the adequacy...
  • reccv

  • Referenced in 36 articles [sw26388]
  • observations of a signal contaminated with additive Gaussian noise, and provide an extensive review ... study on a variety of sample sizes, test functions, signal-to-noise ratios and wavelet...
  • HSMUCE

  • Referenced in 13 articles [sw27013]
  • points of the signal in a heterogeneous Gaussian regression model. A piecewise constant function ... over the acceptance region of a multiscale test which locally adapts to changes...
  • Pvalue Weighting

  • Referenced in 1 article [sw30786]
  • consult the paper Optimal Multiple Testing Under a Gaussian Prior on the Effect Sizes...