Statistical inference of minimum BD estimators and classifiers for varying-dimensional models
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Publication:972890
DOI10.1016/j.jmva.2010.02.009zbMath1189.62039OpenAlexW1982813906MaRDI QIDQ972890
Publication date: 21 May 2010
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2010.02.009
loss functionexponential familystatistical learninghemodynamic response functiondiverging number of parametersoptimal Bayes rulefMRI time series
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Cites Work
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- Semiparametric detection of significant activation for brain fMRI
- Efficient modeling and inference for event-related fMRI data
- Asymptotic behavior of likelihood methods for exponential families when the number of parameters tends to infinity
- Hedonic housing prices and the demand for clean air
- Variance and bias for general loss functions
- Generalized chi-square goodness-of-fit tests for location-scale models when the number of classes tends to infinity
- Robust regression: Asymptotics, conjectures and Monte Carlo
- Nonconcave penalized likelihood with a diverging number of parameters.
- Statistical behavior and consistency of classification methods based on convex risk minimization.
- On the asymptotics of constrained \(M\)-estimation
- Stochastic modeling of neurobiological time series: Power, coherence, Granger causality, and separation of evoked responses from ongoing activity
- Asymptotic Statistics
- The Estimation of Prediction Error
- Convexity, Classification, and Risk Bounds
- APPROXIMATE CONFIDENCE INTERVALS
- The elements of statistical learning. Data mining, inference, and prediction
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