The generalisation of student's problems when several different population variances are involved.

By B. L. Welch. 1947

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Citations in the corpus

Evaluating the Search Phase of Neural Architecture Search (2019, methodology): “Since the mean performance for randomlysampled architectures converges to the mean performance over the entire search space, we further conducted Welch Student’s t-tests (Welch, 1947), which reveal that, in RNN space, ENAS and DARTS cannot be differentiated from the mean of entire search space, whil”
SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis (2015, methodology): “If the expression in the two groups can be assumed from two independent normal distributions, we use the onetailed Welch’s t-test [49], which is suitable for samples having unequal variances and different A Single-Cell RNA-Seq Analytic Pipeline”
Continual State Representation Learning for Reinforcement Learning using Generative Replay (2018, methodology): “We use Welch’s t-test (Welch, 1947) to test the hypothesisH0 that two means x1, x2 of randomly sampled VAE reconstruction errors have equal mean.”
A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments (2002, methodology): “This t -test was proposed by Welch (1947).”
Multifaceted protein–protein interaction prediction based on Siamese residual RCNN (2019, methodology): “Based on the reported accuracy over 5-folds, we also conduct two-tailed Welch’s t-tests (Welch, 1947) to evaluate the significance of the improvement on different pairs of approaches.”
Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500‐hPa Geopotential Height From Historical Weather Data (2019, methodology): “As in many machine learning problems, layer is statistically signiﬁcant at the 99% conﬁdence level when the ensemble means from the ‘ τ LSTM’ and the ‘ τ ’ variants are compared using Welch’s unequal variance t -test (Welch, 1947).”
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge (2019, methodology): “Tests for age and volumes were performed using Welch’s unequal variances t-test [64].”
A Simple Two-Sample Test in High Dimensions Based on L2-Norm (2020, unknown): “S) χ2-approximation (Satterthwaite 1946; Welch 1947).”
T test as a parametric statistic (2015, methodology): “However, this statistics has different degree of freedom which was calculated by the Welch-Satterthwaite [3,4] equation.”
Robust Standard Errors in Small Samples: Some Practical Advice (2016, unknown): “One of the most attractive proposals for the Behrens-Fisher problem is due to Welch (1951).”
Teaching Multiple Concepts to a Forgetful Learner (2018, methodology): “The second row (p-value) indicates the statistical significance of the results measured by the two-tailed p-values of Welch’s t-tests [36], when comparing GR with the baselines.”
Emotional Speech Synthesis with Rich and Granularized Control (2019, methodology): “Because a p-value computed by Welch’s t-test [25] which takes the null hypothesis that both groups have equal means is bigger than 0.”
Does language help generalization in vision models? (2021, background): “which is the norm of the unequal variance t-test [27]: this allows us to normalize the distances between class centroids with respect to their variance.”
9) TM4 Microarray Software Suite (2006, unknown): “MeV provides three t test (Dudoit et al., 2000; Korn, et al., 2001, 2004; Pan, 2002; Welch, 1947; Zar, 1999) designs: one sample, between subjects, and paired.”
American Gut: an Open Platform for Citizen Science Microbiome Research (2018, methodology): “Continuous and categorical covariates were compared with a 545 Welch’s T test (73).”