
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...

ASTRODF
 Referenced in 12 articles
[sw26833]
 measures of sampling error (or variance) and structural error (or model bias) within ASTRO ... ASTRODF 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 resamplingbased 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 ConsenttoContact (C2C) registry ... selection into the C2C likely leads to bias due in part to enrollees having more ... propensity for selfselection 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: SeparationResistant and BiasReduced 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]
 keywordbased 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 sampleselection 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 SheatherJones 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 finitesample 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 finitesample 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 biascorrected leastsquares dummy variable (LSDV) estimators and their ... evaluate the finitesample performance of the biascorrected 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 meansquared row correlation. We show Fisher’s transformation for sample...