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References in zbMATH (referenced in 344 articles )

Showing results 1 to 20 of 344.
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  1. Allévius, Benjamin; Höhle, Michael: An unconditional space-time scan statistic for ZIP-distributed data (2019)
  2. Amalan Mahendran; Pushpakanthie Wijekoon: fitODBOD: An R Package to Model Binomial Outcome Data using Binomial Mixture and Alternate Binomial Distributions (2019) not zbMATH
  3. Andreas Anastasiou, Piotr Fryzlewicz: Detecting multiple generalized change-points by isolating single ones (2019) arXiv
  4. Angela Bitto-Nemling, Annalisa Cadonna, Sylvia Frühwirth-Schnatter, Peter Knaus: Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP (2019) arXiv
  5. Athey, Susan; Tibshirani, Julie; Wager, Stefan: Generalized random forests (2019)
  6. Balabdaoui, Fadoua; Groeneboom, Piet; Hendrickx, Kim: Score estimation in the monotone single-index model (2019)
  7. Belkić, Dževad: All the trinomial roots, their powers and logarithms from the Lambert series, Bell polynomials and Fox-Wright function: illustration for genome multiplicity in survival of irradiated cells (2019)
  8. Blondeau Da Silva, Stephane: BeyondBenford: An R Package to Determine Which of Benford’s or BDS’s Distributions is the Most Relevant (2019) arXiv
  9. Chatterjee, Snigdhansu: The scale enhanced wild bootstrap method for evaluating climate models using wavelets (2019)
  10. Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Vialaneix: Adjacency-constrained hierarchical clustering of a band similarity matrix with application to Genomics (2019) arXiv
  11. Diggle, Peter J.; Giorgi, Emanuele: Model-based geostatistics for global public health. Methods and applications (2019)
  12. Emmanuel Caron, Jérôme Dedecker, Michel Bertrand: Linear regression with stationary errors : the R package slm (2019) arXiv
  13. Francisco Bischoff, Pedro Pereira Rodrigues: tsmp: An R Package for Time Series with Matrix Profile (2019) arXiv
  14. García, Oscar: Estimating reducible stochastic differential equations by conversion to a least-squares problem (2019)
  15. Gu, Mengyang: Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (2019)
  16. Hadrien Lorenzo, Jérôme Saracco, Rodolphe Thiébaut: Supervised Learning for Multi-Block Incomplete Data (2019) arXiv
  17. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  18. Hyeyoung Maeng, Piotr Fryzlewicz: Detecting linear trend changes and point anomalies in data sequences (2019) arXiv
  19. João Duarte; Vinícius Mayrink: slfm: An R Package to Evaluate Coherent Patterns in Microarray Data via Factor Analysis (2019) not zbMATH
  20. Lindsay Rutter, Susan VanderPlas, Dianne Cook, Michelle A. Graham: ggenealogy: An R Package for Visualizing Genealogical Data (2019) not zbMATH

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