• SMOTEBoost

  • Referenced in 35 articles [sw12571]
  • that predominantly consists of majority class, subsequent sampling of the training set is still skewed ... bias inherent in the learning procedure due to class imbalance and to increase the sampling...
  • BiasedUrn

  • Referenced in 6 articles [sw10936]
  • model distributions. Statistical models of biased sampling in the form of univariate and multivariate noncentral...
  • ASTRO-DF

  • Referenced in 12 articles [sw26833]
  • measures of sampling error (or variance) and structural error (or model bias) within ASTRO ... ASTRO-DF is sensitive to algorithm trajectory: sampling is higher whenever an iterate is inferred...
  • lobSTR

  • Referenced in 2 articles [sw18338]
  • cumbersome processing times and a biased sampling of STR alleles. Here, we present lobSTR...
  • sambia

  • Referenced in 1 article [sw25991]
  • Collection of Techniques Correcting for Sample Selection Bias. A collection of various techniques correcting statistical ... models for sample selection bias is provided. In particular, the resampling-based methods ”stochastic inverse ... synthetic observations for correcting classifiers for biased samples resulting from stratified random sampling. For further...
  • estweight

  • Referenced in 1 article [sw38235]
  • Adjustment for Biased Sampling Using NHANES Derived Propensity Weights. The Consent-to-Contact (C2C) registry ... selection into the C2C likely leads to bias due in part to enrollees having more ... propensity for self-selection into the convenience sample weights using data from the National Health...
  • HURST

  • Referenced in 1 article [sw38698]
  • Hurst [2], corrected for small sample bias [1,3,4]. If a vector of increasing ... defines the box sizes that the sample is divided into (the values in D have...
  • SR_BR_LR.svb

  • Referenced in 1 article [sw37311]
  • LR.svb: Separation-Resistant and Bias-Reduced Logistic Regression: STATISTICA Macro. Logistic regression ... proved to significantly reduce the small sample bias of maximum likelihood estimates. The main goal...
  • lrtc

  • Referenced in 1 article [sw39611]
  • keyword-based queries, resulting in a biased sample of the minority class. We release...
  • mlj21DALC

  • Referenced in 1 article [sw42303]
  • hand, due to the active data sampling bias, the label noise model estimation...
  • SW1PerS

  • Referenced in 10 articles [sw17206]
  • limited sampling density. While there exist methods for detecting periodicity, their design biases (e.g. toward ... quantified under varying noise models, noise levels, sampling densities, and signal shapes. Results on biological...
  • leebounds

  • Referenced in 1 article [sw37701]
  • sample selection. Nonrandom sample selection may render estimated treatment effects biased even if assignment ... conventional parametric approaches to correcting for sample-selection bias, Lee’s bounds estimator rests...
  • GetDist

  • Referenced in 23 articles [sw29994]
  • analysing Monte Carlo samples, including correlated samples from Markov Chain Monte Carlo (MCMC). Point ... Improved Sheather-Jones method), with boundary and bias correction; Convergence diagnostics - including correlation length...
  • GraphSAINT

  • Referenced in 1 article [sw37758]
  • complete GCN is built from the properly sampled subgraph. Thus, we ensure fixed number ... further propose normalization technique to eliminate bias, and sampling algorithms for variance reduction. Importantly...
  • GANomaly

  • Referenced in 5 articles [sw41240]
  • highly biased towards one class (normal) due to the insufficient sample size of the other...
  • mcr

  • Referenced in 2 articles [sw35213]
  • analytical method comparison and bias estimation using patient samples...
  • xtgeebcv

  • Referenced in 0 articles [sw37542]
  • studied to account for this finite-sample bias, but none has yet been implemented ... this article, we describe several popular bias corrections to the robust sandwich variance. We then ... allow Stata users to easily apply finite-sample corrections to standard errors obtained from...
  • ADASYN

  • Referenced in 20 articles [sw36457]
  • paper presents a novel adaptive synthetic (ADASYN) sampling approach for learning from imbalanced data sets ... distributions in two ways: (1) reducing the bias introduced by the class imbalance...
  • xtlsdvc

  • Referenced in 2 articles [sw37482]
  • Stata routine, xtlsdvc, that computes bias-corrected least-squares dummy variable (LSDV) estimators and their ... evaluate the finite-sample performance of the bias-corrected LSDV estimators in comparison...
  • colcor

  • Referenced in 5 articles [sw12289]
  • rows correspond to genes and columns to samples. We commonly calculate test statistics ... since its mean and variance determine the bias and variance of FDR estimates. Efron (2009b ... biased) estimator for the mean-squared row correlation. We show Fisher’s transformation for sample...