The potential and perils of preprocessing: building new foundations
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Publication:373524
DOI10.3150/13-BEJSP16zbMath1440.62019arXiv1309.6790OpenAlexW2023338600MaRDI QIDQ373524
Alexander W. Blocker, Xiao-Li Meng
Publication date: 17 October 2013
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1309.6790
data compressionmeasurement errormultiple imputationdata repositoriesmultiphase inferencestatistical principles
Computational methods for problems pertaining to statistics (62-08) Sampling theory, sample surveys (62D05) Foundations and philosophical topics in statistics (62A01) Missing data (62D10)
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Uses Software
Cites Work
- Unnamed Item
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- Unnamed Item
- On surrogate loss functions and \(f\)-divergences
- Statistical decision theory and Bayesian analysis. 2nd ed
- On rereading R. A. Fisher
- Comparison of experiments and information measures
- Several Bayesians: a review. (With discussion)
- Significance analysis of microarrays applied to the ionizing radiation response
- Multiple Imputation After 18+ Years
- Handbook of Markov Chain Monte Carlo
- On the Reconciliation of Probability Assessments
- Partial likelihood
- Inference and missing data
- A Predictive Approach to Model Selection
- The Selection of Prior Distributions by Formal Rules
- Quantization
- Proper and Improper Multiple Imputation
- Sufficiency and Approximate Sufficiency
- Parameter Estimation for the Exponential-Normal Convolution Model for Background Correction of Affymetrix GeneChip Data
- Invariant Prior Distributions
- On a Necessary and Sufficient Condition for Admissibility of Estimators When Strictly Convex Loss is Used
- Classifying Gene Expression Profiles from Pairwise mRNA Comparisons
- Exploration, normalization, and summaries of high density oligonucleotide array probe level data
- Consistent Estimates Based on Partially Consistent Observations
- Equivalent Comparisons of Experiments
- An invariant form for the prior probability in estimation problems
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