BayesDA
BayesDA: Functions and Datasets for the book ”Bayesian Data Analysis” Functions for Bayesian Data Analysis, with datasets from the book ”Bayesian data Analysis (second edition)” by Gelman, Carlin, Stern and Rubin. Not all datasets yet, hopefully completed soon.
Keywords for this software
References in zbMATH (referenced in 1097 articles )
Showing results 1 to 20 of 1097.
Sorted by year (- Bamber, Donald: A Bayesian dilemma (2021)
- Antonelli, Joseph; Mazumdar, Maitreyi; Bellinger, David; Christiani, David; Wright, Robert; Coull, Brent: Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors (2020)
- Bardsley, Johnathan M.; Hansen, Per Christian: MCMC algorithms for computational UQ of nonnegativity constrained linear inverse problems (2020)
- Bauder, David; Bodnar, Taras; Parolya, Nestor; Schmid, Wolfgang: Bayesian inference of the multi-period optimal portfolio for an exponential utility (2020)
- Bauer, Alexander; Bender, Andreas; Klima, André; Küchenhoff, Helmut: KOALA: a new paradigm for election coverage. An opinion poll-based “now-cast” of probabilities of events in multi-party electoral systems (2020)
- Belomestny, D.; Iosipoi, L.; Moulines, E.; Naumov, A.; Samsonov, S.: Variance reduction for Markov chains with application to MCMC (2020)
- Borggaard, Jeff; Glatt-Holtz, Nathan; Krometis, Justin: A Bayesian approach to estimating background flows from a passive scalar (2020)
- Butler, Troy; Wildey, T.; Yen, Tian Yu: Data-consistent inversion for stochastic input-to-output maps (2020)
- Chen, Shea D.; Lim, Andrew E. B.: A generalized Black-Litterman model (2020)
- Chen, Ye; Ryzhov, Ilya O.: Technical note: Consistency analysis of sequential learning under approximate Bayesian inference (2020)
- Chiu, Sung Nok; Ling, Leevan; McCourt, Michael: On variable and random shape Gaussian interpolations (2020)
- Chua, Alvin J. K.: Sampling from manifold-restricted distributions using tangent bundle projections (2020)
- Flegg, Jennifer A.; Menon, Shakti N.; Byrne, Helen M.; McElwain, D. L. Sean: A current perspective on wound healing and tumour-induced angiogenesis (2020)
- Grantham, Neal S.; Guan, Yawen; Reich, Brian J.; Borer, Elizabeth T.; Gross, Kevin: MIMIX: a Bayesian mixed-effects model for microbiome data from designed experiments (2020)
- Gugushvili, Shota; van der Meulen, Frank; Schauer, Moritz; Spreij, Peter: Nonparametric Bayesian estimation of a Hölder continuous diffusion coefficient (2020)
- Hall, Cameron L.; Porter, Mason A.; Dawkins, Marian S.: Dominance, sharing, and assessment in an iterated hawk-dove game (2020)
- Heaps, Sarah E.; Nye, Tom M. W.; Boys, Richard J.; Williams, Tom A.; Cherlin, Svetlana; Embley, T. Martin: Generalizing rate heterogeneity across sites in statistical phylogenetics (2020)
- Huang, Yifan; Meng, Shengwang: A Bayesian nonparametric model and its application in insurance loss prediction (2020)
- Igarashi, Mirai; Terui, Nobuhiko: Characterization of topic-based online communities by combining network data and user generated content (2020)
- Jokhadze, Valeriane; Schmidt, Wolfgang M.: Measuring model risk in financial risk management and pricing (2020)