A new classifier for imbalanced data based on a generalized density ratio model
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Publication:6113642
DOI10.1007/s40304-021-00254-7OpenAlexW4281700526MaRDI QIDQ6113642
Publication date: 11 July 2023
Published in: Communications in Mathematics and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40304-021-00254-7
Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05)
Cites Work
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- Quantile and quantile-function estimations under density ratio model
- Semiparametric regression in testicular germ cell data
- Monotonicity of quadratic-approximation algorithms
- On the effect of misspecifying the density ratio model
- Multinomial logistic regression algorithm
- Smoothed empirical likelihood for the Youden index
- Semiparametric density estimation under a two-sample density ratio model
- Nonparametric and semiparametric models.
- Support-vector networks
- Out-of-sample fusion in risk prediction
- Likelihood approaches for the invariant density ratio model with biased-sampling data
- Smoothing Splines
- Forecasting mortality rates via density ratio modeling
- Inferences for case-control and semiparametric two-sample density ratio models
- A class of logistic-type discriminant functions
- Bayesian analysis of a density ratio model
- Empirical likelihood inference for multiple censored samples
- Advances in Artificial Intelligence – SBIA 2004
- Semiparametric inference for the dominance index under the density ratio model
- Random forests
- Small Area Quantile Estimation
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