Works matching AU Mukhopadhyay, Minerva
Results: 7
Efficient manifold approximation with spherelets.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2022, v. 84, n. 4, p. 1129, doi. 10.1111/rssb.12508
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- Article
Estimating densities with non‐linear support by using Fisher–Gaussian kernels.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020, v. 82, n. 5, p. 1249, doi. 10.1111/rssb.12390
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- Article
Targeted Random Projection for Prediction From High-Dimensional Features.
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- Journal of the American Statistical Association, 2020, v. 115, n. 532, p. 1998, doi. 10.1080/01621459.2019.1677240
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- Article
Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning.
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- Psychometrika, 2024, v. 89, n. 2, p. 461, doi. 10.1007/s11336-024-09947-8
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- Article
Bayes factor asymptotics for variable selection in the Gaussian process framework.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 581, doi. 10.1007/s10463-021-00810-6
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- Article
On consistency and optimality of Bayesian variable selection based on $$g$$ -prior in normal linear regression models.
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- Annals of the Institute of Statistical Mathematics, 2015, v. 67, n. 5, p. 963, doi. 10.1007/s10463-014-0483-8
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- Article
A distribution-free two-sample run test applicable to high-dimensional data.
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- Biometrika, 2014, v. 101, n. 4, p. 913, doi. 10.1093/biomet/asu045
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- Article