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Analysis of Variance of Cross-Validation Estimators of the Generalization Error

https://doi.org/10.7916/d86d5r2x
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1016/0167-8655(92)90097-jopenalex-snapshot
Variability and bias in experimentally measured classifier error rates
inferredcites →https://doi.org/10.1023/a:1022899518027openalex-snapshot
Variance and Bias for General Loss Functions
inferredcites →https://doi.org/10.1023/a:1026562000322openalex-snapshot
Between stability and higher-order asymptotics
inferredcites →https://doi.org/10.1080/01621459.1983.10477973openalex-snapshot
Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
inferredcites →https://doi.org/10.1080/01621459.1984.10478083openalex-snapshot
Cross-Validation of Regression Models
inferredcites →https://doi.org/10.1090/s0002-9947-97-01726-1openalex-snapshot
Limiting subhessians, limiting subjets and their calculus
inferredcites →https://doi.org/10.1093/biomet/61.1.131openalex-snapshot
The Asymptotic Distributions of the Conditional Error Rate and Risk in Discriminant Analysis
inferredcites →https://doi.org/10.1093/biomet/63.2.239openalex-snapshot
The Bias of the Apparent Error Rate in Discriminant Analysis
inferredcites →https://doi.org/10.1111/j.1467-842x.1972.tb00339.xopenalex-snapshot
AN ASYMPTOTIC EXPANSION FOR THE VARIANCE OF THE ERRORS OF MISCLASSIFICATION OF THE LINEAR DISCRIMINANT FUNCTION1
inferredcites →https://doi.org/10.1111/j.1467-842x.1973.tb00201.xopenalex-snapshot
AN ASYMPTOTIC EXPANSION OF THE EXPECTATION OF THE ESTIMATED ERROR RATE IN DISCRIMINANT ANALYSIS1
inferredcites →https://doi.org/10.1162/089976698300017197openalex-snapshot
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
inferredcites →https://doi.org/10.1162/089976699300016304openalex-snapshot
Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation
inferredcites →https://doi.org/10.1162/neco.1997.9.5.1143openalex-snapshot
A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-Test Split
inferredcites →https://doi.org/10.1198/016214504000000692openalex-snapshot
The Estimation of Prediction Error
inferredcites →https://doi.org/10.1201/9780429246593openalex-snapshot
An Introduction to the Bootstrap
inferredcites →https://doi.org/10.1214/aos/1032181158openalex-snapshot
Heuristics of instability and stabilization in model selection
inferredcites →https://doi.org/10.14490/jjss1995.31.39openalex-snapshot
CALCULATION METHOD FOR NONLINEAR DYNAMIC LEAST-ABSOLUTE DEVIATIONS ESTIMATOR
inferredcites →https://doi.org/10.2307/1270597openalex-snapshot
Theory of Point Estimation
inferredcites →https://doi.org/10.2307/2291166openalex-snapshot
Large-Sample Methods in Statistics: An Introduction with Applications.
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

What points at this work

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Building Asian climate change scenario by multi-regional climate models ensemble. Part I: surface air temperature
inferred← citeshttps://doi.org/10.1002/sam.11301openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-1-4471-5571-3_2openalex-snapshot
Fundamentals of Machine Learning
inferred← citeshttps://doi.org/10.1007/978-1-4471-7452-3_2openalex-snapshot
Fundamentals of Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-39442-4_16openalex-snapshot
Clustering and Classification to Evaluate Data Reduction via Johnson-Lindenstrauss Transform
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The Out-of-Source Error in Multi-Source Cross Validation-Type Procedures
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inferred← citeshttps://doi.org/10.1007/s10732-014-9237-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10994-015-5529-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12040-019-1328-xopenalex-snapshot
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Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection
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A dual-head attention model for time series data imputation
inferred← citeshttps://doi.org/10.1016/j.egyai.2025.100584openalex-snapshot
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A rainfall analysis and forecasting tool
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Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach
inferred← citeshttps://doi.org/10.1016/j.ins.2016.12.005openalex-snapshot
A two dimensional accuracy-based measure for classification performance
inferred← citeshttps://doi.org/10.1016/j.ins.2018.10.040openalex-snapshot
Block-regularized repeated learning-testing for estimating generalization error
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Profile electoral college cross-validation
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124789openalex-snapshot
Long-term rainfall prediction using atmospheric synoptic patterns in semi-arid climates with statistical and machine learning methods
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.127051openalex-snapshot
A decision support system framework for strategic water resources planning and management under projected climate scenarios for a reservoir complex
inferred← citeshttps://doi.org/10.1016/j.jspi.2018.07.005openalex-snapshot
Optimality of training/test size and resampling effectiveness in cross-validation
inferred← citeshttps://doi.org/10.1016/j.patcog.2017.03.025openalex-snapshot
Error estimation based on variance analysis of k -fold cross-validation
inferred← citeshttps://doi.org/10.1016/j.patrec.2015.08.002openalex-snapshot
Measure for data partitioning in m × 2 cross-validation
inferred← citeshttps://doi.org/10.1017/9781316888544openalex-snapshot
Maximum Likelihood for Social Science
inferred← citeshttps://doi.org/10.1017/9781316888544.001openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1017/9781316888544.002openalex-snapshot
Acknowledgements
inferred← citeshttps://doi.org/10.1017/9781316888544.003openalex-snapshot
Notes on Notation
inferred← citeshttps://doi.org/10.1017/9781316888544.004openalex-snapshot
Introduction to Maximum Likelihood
inferred← citeshttps://doi.org/10.1017/9781316888544.005openalex-snapshot
Theory and Properties of Maximum Likelihood Estimators
inferred← citeshttps://doi.org/10.1017/9781316888544.006openalex-snapshot
Maximum Likelihood for Binary Outcomes
inferred← citeshttps://doi.org/10.1017/9781316888544.007openalex-snapshot
Implementing MLE
inferred← citeshttps://doi.org/10.1017/9781316888544.008openalex-snapshot
Model Evaluation and Selection
inferred← citeshttps://doi.org/10.1017/9781316888544.009openalex-snapshot
Inference and Interpretation
inferred← citeshttps://doi.org/10.1017/9781316888544.010openalex-snapshot
The Generalized Linear Model
inferred← citeshttps://doi.org/10.1017/9781316888544.011openalex-snapshot
Ordered Categorical Variable Models
inferred← citeshttps://doi.org/10.1017/9781316888544.012openalex-snapshot
Models for Nominal Data
inferred← citeshttps://doi.org/10.1017/9781316888544.013openalex-snapshot
Strategies for Analyzing Count Data
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Strategies for Temporal Dependence: Duration Models
inferred← citeshttps://doi.org/10.1017/9781316888544.015openalex-snapshot
Strategies for Missing Data
inferred← citeshttps://doi.org/10.1017/9781316888544.016openalex-snapshot
Epilogue
inferred← citeshttps://doi.org/10.1017/9781316888544.017openalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1017/9781316888544.018openalex-snapshot
Index
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inferred← citeshttps://doi.org/10.1109/joe.2010.2101235openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tkde.2014.2359667openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/wacv.2009.5403037openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/deci.12445openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/insr.12274openalex-snapshot
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inferred← citeshttps://doi.org/10.1137/1.9781611977653.ch90openalex-snapshot
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection
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Blocked 3×2 Cross-Validated t-Test for Comparing Supervised Classification Learning Algorithms
inferred← citeshttps://doi.org/10.1162/neco_a_00857openalex-snapshot
Credible Intervals for Precision and Recall Based on aK-Fold Cross-Validated Beta Distribution
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Block-Regularizedm×2Cross-Validated Estimator of the Generalization Error
inferred← citeshttps://doi.org/10.1175/jamc-d-17-0215.1openalex-snapshot
High-Resolution Temperature Datasets in Portugal from a Geostatistical Approach: Variability and Extremes
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inferred← citeshttps://doi.org/10.1198/jasa.2009.tm08107openalex-snapshot
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inferred← citeshttps://doi.org/10.1214/09-ss054openalex-snapshot
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inferred← citeshttps://doi.org/10.13140/2.1.4432.8321openalex-snapshot
Multiple-source cross-validation
inferred← citeshttps://doi.org/10.1371/journal.pone.0168725openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.586openalex-snapshot
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inferred← citeshttps://doi.org/10.2166/wcc.2017.097openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/chicc.2018.8482982openalex-snapshot
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inferred← citeshttps://doi.org/10.25195/ijci.v46i1.246openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/cbm-2008-44-506openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/sym12010130openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/w11010125openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/w14030492openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1011.0096openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1011.5133openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1011.5142openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1511.02980openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1910.14502openalex-snapshot
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inferred← citeshttps://doi.org/10.5019/j.ijcir.2005.23openalex-snapshot
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inferred← citeshttps://doi.org/10.5194/hess-17-1265-2013openalex-snapshot
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