• XLNet

  • Referenced in 20 articles [sw31118]
  • learning bidirectional contexts by maximizing the expected likelihood over all permutations of the factorization order ... autoregressive model, into pretraining. Empirically, XLNet outperforms BERT on 20 tasks, often by a large...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • applied for jointly max-margin and maximum likelihood learning of directed or undirected topic models ... parameter estimation are derived and extensive empirical studies on several real data sets are also...
  • sdetorus

  • Referenced in 2 articles [sw20248]
  • Shoji-Ozaki pseudo-likelihoods; (iii) a likelihood based on a specific approximation to the transition ... ones, and investigates the empirical performance of the approximate likelihoods. Finally, two diffusions are used...
  • feologit

  • Referenced in 0 articles [sw37547]
  • generalized method-of-moments and empirical likelihood estimators. The command and model interpretations are illustrated...
  • EbayesThresh

  • Referenced in 17 articles [sw11103]
  • Related Methods. This package carries out Empirical Bayes thresholding using the methods developed ... estimated by a marginal maximum likelihood approach. This leads to an adaptive thresholding approach...
  • Mbetoolbox

  • Referenced in 1 article [sw10710]
  • rates by using a maximum likelihood method or an empirical Bayesian method. It also incorporates...
  • nlpden

  • Referenced in 3 articles [sw09371]
  • likelihood, but rather is purely geometric: heuristically, we L 2 -project the observed empirical distribution ... matches the accuracy of fully general maximum likelihood estimators at a fraction of the computational...
  • shrink

  • Referenced in 4 articles [sw24100]
  • achieved, e.g., by regularized regression or empirical Bayes approaches. Various types of shrinkage factors ... also be estimated after a maximum likelihood. While global shrinkage modifies all regression coefficients...
  • GlobalAncova

  • Referenced in 8 articles [sw30019]
  • hypothesis. In combination with a permutation approach, empirical significance levels can be approximated. Alternatively ... variables or even mixed data by a likelihood ratio approach. Closed and hierarchical testing procedures...
  • PML

  • Referenced in 2 articles [sw34605]
  • maximum likelihood maximizing the probability of observing a sufficient statistic rather than the empirical sample...
  • heckmancopula

  • Referenced in 2 articles [sw37451]
  • likelihood estimation of sample-selection models. Sample-selection issues are common problems in empirical studies ... assumptions leads to inconsistency of a maximum likelihood estimator. Early work on sample-selection models...
  • CodonTest

  • Referenced in 1 article [sw37906]
  • using standard maximum likelihood optimization procedures. We apply the GA to empirical alignments and show...
  • MIXREGLS

  • Referenced in 3 articles [sw24546]
  • written in Fortran and uses maximum likelihood estimation, utilizing both the EM algorithm ... random effects is accomplished using empirical Bayes methods. Examples illustrating stand-alone usage and features...
  • ProbitSpatial

  • Referenced in 3 articles [sw37939]
  • based on the full maximization of likelihood of an approximate multivariate normal distribution function ... just few years ago. Extensive simulation and empirical studies proved that these functions can readily...
  • boottest

  • Referenced in 5 articles [sw37419]
  • many estimation commands based on maximum likelihood. Although it is designed to perform the wild ... artest, scoretest, and waldtest, and present several empirical examples...
  • EWGoF

  • Referenced in 2 articles [sw36709]
  • into families: the tests based on the empirical distribution function, the tests based ... based on the Laplace transform and the likelihood based tests...
  • MIXREG

  • Referenced in 5 articles [sw24547]
  • adjusting for clustering. MIXREG uses maximum marginal likelihood estimation, utilizing both the EM algorithm ... individual random effects is accomplished using an empirical Bayes approach. Examples illustrating usage and features...
  • MAMSE

  • Referenced in 0 articles [sw18460]
  • weighted likelihood or to define a mixture of empirical distribution functions. The package includes functions...
  • distributionsrd

  • Referenced in 0 articles [sw41028]
  • likelihood ratio and (ii) deviations between the empirical and parametrically implied moments of the distributions...
  • PROC QTL

  • Referenced in 1 article [sw17248]
  • line crossing experiments using maximum likelihood (ML), least square (LS), iteratively reweighted least square (IRLS ... Fisher scoring (FISHER), Bayesian (BAYES), and empirical Bayes (EBAYES) methods...