• YUIMA

  • Referenced in 48 articles [sw11399]
  • Yuima R package. This paper proposes consistent and asymptotically Gaussian estimators for the parameters...
  • Bolasso

  • Referenced in 29 articles [sw31649]
  • Bolasso: model consistent Lasso estimation through the bootstrap. We consider the least-square linear regression ... paper, we present a detailed asymptotic analysis of model consistency of the Lasso. For various ... decays of the regularization parameter, we compute asymptotic equivalents of the probability of correct model ... Lasso bootstrap estimates leads to consistent model selection. This novel variable selection algorithm, referred...
  • bernor

  • Referenced in 10 articles [sw19665]
  • approximation to the MLE is a consistent and asymptotically normal estimate of the minimizer...
  • Knorm

  • Referenced in 6 articles [sw16562]
  • biological conclusions. This article contributes a framework consisting of a model and an estimation procedure ... estimation variance. The Knorm is also asymptotically consistent with the Pearson coefficient. When the experiment...
  • convexity

  • Referenced in 3 articles [sw36571]
  • design points. We develop an asymptotically consistent Bayesian sequential sampling procedure that estimates the posterior...
  • quantspec

  • Referenced in 5 articles [sw14419]
  • Quantile-based spectral analysis: asymptotic theory and computation. In this thesis an alternative method ... types of estimators. Results about the consistency and asymptotic distribution of smoothed versions of these...
  • SYMARMA

  • Referenced in 4 articles [sw33904]
  • conduct simulation studies to evaluate the consistency and asymptotic normality of the conditional maximum likelihood...
  • plmed

  • Referenced in 2 articles [sw40956]
  • direct and indirect effects and demonstrate consistent asymptotic normality for indirect effects when models...
  • QuEST

  • Referenced in 11 articles [sw38788]
  • alternative framework known as large-dimensional asymptotics. Recently, an estimator of the eigenvalues ... that is consistent according to a mean-squared criterion under large-dimensional asymptotics. It requires...
  • VaDA

  • Referenced in 1 article [sw34827]
  • arguments are presented showing that Chernoff-consistency (asymptotically zero type I and type II error...
  • drtmle

  • Referenced in 2 articles [sw37282]
  • doubly-robust with respect both to consistency and asymptotic normality (Benkeser...
  • snp

  • Referenced in 2 articles [sw37499]
  • proposed estimators are root-n consistent and asymptotically normal for the model parameters of interest...
  • SparseLOGREG

  • Referenced in 27 articles [sw11449]
  • Gauss–Seidel method and is asymptotically convergent. It is simple and extremely easy to implement ... results were found to be consistent with the literature...
  • LAGO

  • Referenced in 1 article [sw40196]
  • intervention effects, and prove consistency and asymptotic normality using a novel coupling argument, ensuring...
  • transCCA

  • Referenced in 1 article [sw38361]
  • moments do not exist. We establish consistency and asymptotic normality for canonical directions and correlations...
  • GGMselect

  • Referenced in 9 articles [sw10347]
  • consistent in a high-dimensional setting, and its risk is controlled by a non-asymptotic...
  • qLearn

  • Referenced in 20 articles [sw11117]
  • bootstrap scheme. A dynamic treatment regime consists of a set of decision rules that dictate ... data. This nonsmoothness causes standard asymptotic approaches for inference like the bootstrap or Taylor series...
  • MUSCOP

  • Referenced in 7 articles [sw06143]
  • differential equations (PDEs). The proposed method features asymptotically optimal scale-up of the numerical effort ... number of spatial discretization points. It consists of a linear iterative splitting approach (LISA) within ... quality of the coarse grid determines the asymptotic linear convergence rate, i.e., Bock’s kappa...
  • dSTEM

  • Referenced in 3 articles [sw36073]
  • provides asymptotic strong control of the False Discovery Rate (FDR) and power consistency ... that FDR levels are maintained in non-asymptotic conditions and guide the choice of smoothing...
  • HDLSSkST

  • Referenced in 1 article [sw42197]
  • conditions, these tests have the consistency property in HDLSS asymptotic regime, where the dimension...