References in zbMATH (referenced in 1148 articles , 2 standard articles )

Showing results 1 to 20 of 1148.
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  1. Bedoui, Adel; Lazar, Nicole A.: Bayesian empirical likelihood for ridge and Lasso regressions (2020)
  2. Binois, Mickaël; Ginsbourger, David; Roustant, Olivier: On the choice of the low-dimensional domain for global optimization via random embeddings (2020)
  3. Eftekhari, Armin; Hauser, Raphael A.: Principal component analysis by optimization of symmetric functions has no spurious local optima (2020)
  4. Flores, Hector; Villalobos, J. Rene: A stochastic planning framework for the discovery of complementary, agricultural systems (2020)
  5. Furmańczyk, Konrad; Rejchel, Wojciech: High-dimensional linear model selection motivated by multiple testing (2020)
  6. Glaws, Andrew; Constantine, Paul G.; Cook, R. Dennis: Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments (2020)
  7. Lee, Gee Y.; Manski, Scott; Maiti, Tapabrata: Actuarial applications of word embedding models (2020)
  8. Liu, Mengque; Zhang, Qingzhao; Fang, Kuangnan; Ma, Shuangge: Structured analysis of the high-dimensional FMR model (2020)
  9. Rabinowicz, Assaf; Rosset, Saharon: Assessing prediction error at interpolation and extrapolation points (2020)
  10. Abpeykar, Shadi; Ghatee, Mehdi; Zare, Hadi: Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification (2019)
  11. Adler, Robert J.; Agami, Sarit: Modelling persistence diagrams with planar point processes, and revealing topology with bagplots (2019)
  12. Afendras, Georgios; Markatou, Marianthi: Optimality of training/test size and resampling effectiveness in cross-validation (2019)
  13. Aït-Sahalia, Yacine; Xiu, Dacheng: Principal component analysis of high-frequency data (2019)
  14. Angelelli, Mario: Complexity reduction for sign configurations through the KP II equation and its information-theoretic aspects (2019)
  15. Arakelian, Veni; Dellaportas, Petros; Savona, Roberto; Vezzoli, Marika: Sovereign risk zones in Europe during and after the debt crisis (2019)
  16. Arashi, M.; Roozbeh, Mahdi: Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data (2019)
  17. Aravkin, Aleksandr Y.; Bottegal, Giulio; Pillonetto, Gianluigi: Boosting as a kernel-based method (2019)
  18. Azencott, Robert; Muravina, Viktoria; Hekmati, Rasoul; Zhang, Wei; Paldino, Michael: Automatic clustering in large sets of time series (2019)
  19. Bacinello, Anna Rita; Zoccolan, Ivan: Variable annuities with a threshold fee: valuation, numerical implementation and comparative static analysis (2019)
  20. Barrera, David; Gobet, Emmanuel: Quantitative bounds for concentration-of-measure inequalities and empirical regression: the independent case (2019)

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