References in zbMATH (referenced in 245 articles , 1 standard article )

Showing results 1 to 20 of 245.
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  1. Fuino, Michel; Wagner, Joël: Duration of long-term care: socio-economic factors, type of care interactions and evolution (2020)
  2. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  3. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  4. Jhwueng, Dwueng-Chwuan: Modeling rate of adaptive trait evolution using Cox-Ingersoll-Ross process: an approximate Bayesian computation approach (2020)
  5. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  6. Virta, Joni; Li, Bing; Nordhausen, Klaus; Oja, Hannu: Independent component analysis for multivariate functional data (2020)
  7. Agostinelli, Claudio; Valdora, Marina; Yohai, Victor J.: Initial robust estimation in generalized linear models (2019)
  8. Baíllo, Amparo; Cárcamo, Javier; Getman, Konstantin: New distance measures for classifying X-ray astronomy data into stellar classes (2019)
  9. Biernacki, Christophe; Lourme, Alexandre: Unifying data units and models in (co-)clustering (2019)
  10. Boonstra, Philip S.; Barbaro, Ryan P.; Sen, Ananda: Default priors for the intercept parameter in logistic regressions (2019)
  11. Cerqueira, Vitor; Torgo, Luís; Pinto, Fábio; Soares, Carlos: Arbitrage of forecasting experts (2019)
  12. David Ardia; Kris Boudt; Leopoldo Catania: Generalized Autoregressive Score Models in R: The GAS Package (2019) not zbMATH
  13. 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)
  14. del Rosario, Zachary; Lee, Minyong; Iaccarino, Gianluca: Lurking variable detection via dimensional analysis (2019)
  15. Dureh, Nurin; Tongkumchum, Phattrawan: A comparison of logistic regression and machine learning algorithms applied to zero counts data in contingency tables (2019)
  16. García, Oscar: Estimating reducible stochastic differential equations by conversion to a least-squares problem (2019)
  17. Goegebeur, Yuri; Guillou, Armelle; Qin, Jing: Bias-corrected estimation for conditional Pareto-type distributions with random right censoring (2019)
  18. Górecki, Tomasz; Smaga, Łukasz: fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data (2019)
  19. Gu, Jiaying; Fu, Fei; Zhou, Qing: Penalized estimation of directed acyclic graphs from discrete data (2019)
  20. Hanbali, Hamza; Linders, Daniel: American-type basket option pricing: a simple two-dimensional partial differential equation (2019)

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