„Bayesian statistics“

Suchergebnisse

2.469 Treffer

• Tucker Tensor Analysis of Matérn Functions in Spatial Statistics
  Litvinenko, Alexander ; Keyes, David ; Khoromskaia, Venera ; Choromskij, Boris N. ; Matthies, Hermann G.
• Bayesian multivariate process modeling for prediction of forest attributes
  Finley, Andrew O. ; Banerjee, Sudipto ; Ek, Alan R. ; McRoberts, Ronald E.
• Robust Bayesian regression with the forward search: theory and data analysis
  Atkinson, Anthony C. ; Corbellini, Aldo ; Riani, Marco
• Use of external evidence for design and Bayesian analysis of clinical trials: a qualitative study of trialists’ views
  Clayton, Gemma L. ; Elliott, Daisy ; Higgins, Julian ; Jones, Hayley E.
• Bayesian effect selection in structured additive quantile regression
  Rappl, Anja ; Carlan, Manuel ; Kneib, Thomas ; Klokman, Sebastiaan ; Bergherr, Elisabeth 2025 Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
• Tom Chivers: Everything is Predictable: How Bayesian Statistics Explain the World – Atria Books, 2024
  Stigler, Stephen M.
• Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data
  Rappl, Anja ; Kneib, Thomas ; Lang, Stefan ; Bergherr, Elisabeth
• Objective Bayesian model choice for non-nested families: the case of the Poisson and the negative binomial
  Moreno, Elías ; Martínez, Carmen ; Vázquez-Polo, Francisco José
• Justice, J. H. (ed.,), Maximum Entropy and Bayesian Methods in Applied Statistics. Proceedings, University of Calgary, 1984. Cambridge etc., Cambridge University Press 1986. 319 S., £ 25.– B/C H/c. ISBN 0 521 32380 0
  Pilz, J.
• Bayesian non-parametric detection heterogeneity in ecological models
  Turek, Daniel ; Wehrhahn, Claudia ; Gimenez, Olivier
• Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
  Soize, Christian ; Ghanem, Roger ; Desceliers, Christophe
• A break test for the tail-event correlation matrix based on the self-normalization method
  Choi, Ji-Eun ; Shin, Dong-wan
• A self-normalization test for structural breaks in a regression model for panel data sets
  Choi, Ji-Eun ; Shin, Dong-wan
• Bernardo, J. M., M. H. Degroot, D. V. Lindley and A. F. M. Smith (Eds.): Bayesian Statistics 3, Oxford University Press, 1989, pp. 805, Hardback, £ 60.00
  Ahrens, H.
• Understanding Human Navigation using Bayesian Hypothesis Comparison
  Becker, Martin ; Hotho, Andreas ; Strohmaier, Markus ; Helic, Denis 2018 Universität Würzburg
• Likelihood and Bayesian Inference – With Applications in Biology and Medicine
  2020 Springer Berlin Heidelberg
• Dynamic Optimization – Deterministic and Stochastic Models
  Hinderer, Karl ; Rieder, Ulrich ; Stieglitz, Michael 2016 Springer International Publishing
• Response to comment by Keith Beven on “Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?”
  Vrugt, Jasper A. ; ter Braak, Cajo J. F. ; Gupta, Hoshin V. ; Robinson, Bruce A.
• Bayesian inference given data ‘significant atα’: Tests of point hypotheses
  Johnstone, D. J. ; Lindley, Dennis V.
• Block bootstrapping for a panel mean break test
  Choi, Ji-Eun ; Shin, Dong-wan