References in zbMATH (referenced in 809 articles )

Showing results 1 to 20 of 809.
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  1. Ahonen, Ilmari; Nevalainen, Jaakko; Larocque, Denis: Prediction with a flexible finite mixture-of-regressions (2019)
  2. Aswani, Anil; Kaminsky, Philip; Mintz, Yonatan; Flowers, Elena; Fukuoka, Yoshimi: Behavioral modeling in weight loss interventions (2019)
  3. Athey, Susan; Tibshirani, Julie; Wager, Stefan: Generalized random forests (2019)
  4. Bornn, Luke; Shephard, Neil; Solgi, Reza: Moment conditions and Bayesian non-parametrics (2019)
  5. Constantinou, Anthony C.: Dolores: a model that predicts football match outcomes from all over the world (2019)
  6. Ghaderinezhad, Fatemeh; Ley, Christophe: Quantification of the impact of priors in Bayesian statistics via Stein’s method (2019)
  7. Heck, Daniel W.: Accounting for estimation uncertainty and shrinkage in Bayesian within-subject intervals: a comment on Nathoo, Kilshaw, and Masson (2018) (2019)
  8. Li, Kan; Luo, Sheng: Bayesian functional joint models for multivariate longitudinal and time-to-event data (2019)
  9. Overstall, Antony M.; Woods, David C.; Martin, Kieran J.: Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics (2019)
  10. Pak, Abbas; Dey, Sanku: Statistical inference for the power Lindley model based on record values and inter-record times (2019)
  11. Saboor, Abdus; Khan, Muhammad Nauman; Cordeiro, Gauss M.; Pascoa, Marcelino A. R.; Ramos, Pedro L.; Kamal, Mustafa: Some new results for the transmuted generalized gamma distribution (2019)
  12. Yoon, Moonyoung; Bekker, James: Considering sample means in Rinott’s procedure with a Bayesian approach (2019)
  13. Awondo, Sebastain N.; Ramirez, Octavio A.; Datta, Gauri S.; Colson, Gregory; Fonsah, Esendugue G.: Estimation of crop yields and insurance premiums using a shrinkage estimator (2018)
  14. Benjamin J. Fulton; Erik A. Petigura; Sarah Blunt; Evan Sinukoff: RadVel: The Radial Velocity Modeling Toolkit (2018) arXiv
  15. Boehm, Udo; Annis, Jeffrey; Frank, Michael J.; Hawkins, Guy E.; Heathcote, Andrew; Kellen, David; Krypotos, Angelos-Miltiadis; Lerche, Veronika; Logan, Gordon D.; Palmeri, Thomas J.; van Ravenzwaaij, Don; Servant, Mathieu; Singmann, Henrik; Starns, Jeffrey J.; Voss, Andreas; Wiecki, Thomas V.; Matzke, Dora; Wagenmakers, Eric-Jan: Estimating across-trial variability parameters of the diffusion decision model: expert advice and recommendations (2018)
  16. Brown, D. Andrew; Saibaba, Arvind; Vallélian, Sarah: Low-rank independence samplers in hierarchical Bayesian inverse problems (2018)
  17. Brown, Lawrence D.; Mukherjee, Gourab; Weinstein, Asaf: Empirical Bayes estimates for a two-way cross-classified model (2018)
  18. Butler, T.; Jakeman, J.; Wildey, T.: Convergence of probability densities using approximate models for forward and inverse problems in uncertainty quantification (2018)
  19. Butler, T.; Jakeman, J.; Wildey, T.: Combining push-forward measures and Bayes’ rule to construct consistent solutions to stochastic inverse problems (2018)
  20. Chan, J. S. K.; Choy, S. T. B.; Makov, U. E.; Landsman, Z.: Modelling insurance losses using contaminated generalised beta type-II distribution (2018)

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