References in zbMATH (referenced in 261 articles , 1 standard article )

Showing results 1 to 20 of 261.
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  1. Dattner, Itai; Ship, Harold; Voit, Eberhard O.: Separable nonlinear least-squares parameter estimation for complex dynamic systems (2020)
  2. Fuino, Michel; Wagner, Joël: Duration of long-term care: socio-economic factors, type of care interactions and evolution (2020)
  3. González, Miguel; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés: Approximate Bayesian computation in controlled branching processes: the role of summary statistics (2020)
  4. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  5. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  6. Jhwueng, Dwueng-Chwuan: Modeling rate of adaptive trait evolution using Cox-Ingersoll-Ross process: an approximate Bayesian computation approach (2020)
  7. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  8. Riko Kelter: bayest: An R Package for Effect-Size Targeted Bayesian Two-Sample t-Tests (2020) not zbMATH
  9. Torsten Hothorn: Most Likely Transformations: The mlt Package (2020) not zbMATH
  10. Virta, Joni; Li, Bing; Nordhausen, Klaus; Oja, Hannu: Independent component analysis for multivariate functional data (2020)
  11. Agostinelli, Claudio; Valdora, Marina; Yohai, Victor J.: Initial robust estimation in generalized linear models (2019)
  12. Angelov, Angel G.; Ekström, Magnus; Kriström, Bengt; Nilsson, Mats E.: Four-decision tests for stochastic dominance, with an application to environmental psychophysics (2019)
  13. Baíllo, Amparo; Cárcamo, Javier; Getman, Konstantin: New distance measures for classifying X-ray astronomy data into stellar classes (2019)
  14. Barbeito, Inés; Cao, Ricardo: Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation (2019)
  15. Biernacki, Christophe; Lourme, Alexandre: Unifying data units and models in (co-)clustering (2019)
  16. Boonstra, Philip S.; Barbaro, Ryan P.; Sen, Ananda: Default priors for the intercept parameter in logistic regressions (2019)
  17. Cerqueira, Vitor; Torgo, Luís; Pinto, Fábio; Soares, Carlos: Arbitrage of forecasting experts (2019)
  18. David Ardia; Kris Boudt; Leopoldo Catania: Generalized Autoregressive Score Models in R: The GAS Package (2019) not zbMATH
  19. Dedduwakumara, Dilanka S.; Prendergast, Luke A.; Staudte, Robert G.: A simple and efficient method for finding the closest generalized lambda distribution to a specific model (2019)
  20. del Rosario, Zachary; Lee, Minyong; Iaccarino, Gianluca: Lurking variable detection via dimensional analysis (2019)

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