Fetching the paper…
Reading the bibliography…
The prior distribution on parameters of a sampling distribution is the usual starting point for Bayesian uncertainty quantification.
Permutation-based uncertainty quantification about a mixing distribution
Dixit, V. and Martin, R. (2019) · 1906
Earlier work this paper cites.
Application of the theory of martingales
Doob, J. L. (1949) · 1948
Earlier work this paper cites.
Stochastic processes
Doob, J. L. (1953) · 1953
Earlier work this paper cites.
Dirichlet process mixtures of generalized linear models
Hannah, L. A., Blei, D. M., and Powell, W. B. (2011) · 1953
Earlier work this paper cites.
Symmetric measures on cartesian products
Hewitt, E. and Savage, L. J. (1955) · 1955
Earlier work this paper cites.
Fonctions de répartition à n dimensions et leurs marges
Sklar, A. (1959) · 1959
Earlier work this paper cites.
Scalable nonparametric sampling from multimodal posteriors with the posterior bootstrap
Fong, E., Lyddon, S., and Holmes, C. (2019) · 1962
Earlier work this paper cites.
Probabilistic prediction
Roberts, H. V. (1965) · 1965
Earlier work this paper cites.
Subjective Bayesian models in sampling finite populations
Ericson, W. A. (1969) · 1969
Earlier work this paper cites.
A convergence theorem for non negative almost supermartingales and some applications
Robbins, H. and Siegmund, D. (1971) · 1971
Earlier work this paper cites.
Ferguson distributions via Pólya urn schemes
Blackwell, D. and MacQueen, J. B. (1973) · 1973
Earlier work this paper cites.
A predictive approach to the random effect model
Geisser, S. (1974) · 1974
Earlier work this paper cites.
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · 1974
Earlier work this paper cites.
Cross-validatory choice and assessment of statistical predictions
Stone, M. (1974) · 1974
Earlier work this paper cites.
The predictive sample reuse method with applications
Geisser, S. (1975) · 1975
Earlier work this paper cites.
On finitely additive priors, coherence, and extended admissibility
Heath, D. and Sudderth, W. (1978) · 1978
Earlier work this paper cites.
Bootstrap methods: Another look at the jackknife
Efron, B. (1979) · 1979
Earlier work this paper cites.
La prévision: ses lois logiques, ses sources subjectives
de Finetti, B. (1937) · 1980
Earlier work this paper cites.
The Bayesian bootstrap
Rubin, D. B. (1981) · 1981
Earlier work this paper cites.
Aspects of the predictive and estimative approaches in the determination of probabilities
Geisser, S. (1982) · 1982
Earlier work this paper cites.
WE Johnson’s ‘Sufficientness’ Postulate
Zabell, S. L. et al. (1982) · 1982
Earlier work this paper cites.
On the prediction of observables: a selective update
Geisser, S. (1983) · 1983
Earlier work this paper cites.
Present position and potential developments: Some personal views statistical theory the prequential approach
Dawid, A. P. (1984) · 1984
Earlier work this paper cites.
Coherent predictive inference
Lane, D. A. and Sudderth, W. D. (1984) · 1984
Earlier work this paper cites.
Probability, symmetry and frequency
Dawid, A. P. (1985) · 1985
Earlier work this paper cites.
A large sample study of the Bayesian bootstrap
Lo, A. Y. (1987) · 1987
Earlier work this paper cites.
Spreading and predictable sampling in exchangeable sequences and processes
Kallenberg, O. (1988) · 1988
Earlier work this paper cites.
Extremal Families and Systems of Sufficient Statistics
Lauritzen, S. L. (1988) · 1988
Earlier work this paper cites.
A Bayesian bootstrap for a finite population
Lo, A. Y. (1988) · 1988
Earlier work this paper cites.
Density estimation with confidence sets exemplified by superclusters and voids in the galaxies
Roeder, K. (1990) · 1990
Earlier work this paper cites.
Kernel density estimation and marginalization consistency
West, M. (1991) · 1991
Earlier work this paper cites.
Estimating normal means with a conjugate style Dirichlet process prior
MacEachern, S. N. (1994) · 1994
Earlier work this paper cites.
Approximate Bayesian inference by the weighted likelihood bootstrap
Newton, M. and Raftery, A. (1994) · 1994
Earlier work this paper cites.
Bayesian density estimation and inference using mixtures
Escobar, M. D. and West, M. (1995) · 1995
Earlier work this paper cites.
The estimation method of inference functions for margins for multivariate models
Joe, H. and Xu, J. J. (1996) · 1996
Earlier work this paper cites.
Bayesian nonparametric predictive inference and bootstrap techniques
Muliere, P. and Secchi, P. (1996) · 1996
Earlier work this paper cites.
Bayesian curve fitting using multivariate normal mixtures
Müller, P., Erkanli, A., and West, M. (1996) · 1996
Cited alongside, same era.
Bayesian methods for finite population sampling
Ghosh, M. and Meeden, G. (1997) · 1997
Cited alongside, same era.
Foundations of Modern Probability
Kallenberg, O. (1997) · 1997
Cited alongside, same era.
Well calibrated, coherent forecasting systems
Berti, P., Regazzini, E., and Rigo, P. (1998) · 1998
Cited alongside, same era.
Concentration
McDiarmid, C. (1998) · 1998
Cited alongside, same era.
Nonparametric Bayes methods using predictive updating
Newton, M. A., Quintana, F. A., and Zhang, Y. (1998) · 1998
Cited alongside, same era.
Dependent nonparametric processes
Inequalities for quantiles of the chi-square distribution
Inglot, T. (2010) · 2010
Later among the works it cites.
Robust Bayesian inference for discrete outcomes with the total variation distance
Knoblauch, J. and Vomfell, L. (2020) · 2010
Later among the works it cites.
Estimating means of bounded random variables by betting
Waudby-Smith, I. and Ramdas, A. (2020) · 2010
Later among the works it cites.
Bayesian Bootstrap spike-and-slab LASSO
Nie, L. and Ročková, V. (2020) · 2011
Later among the works it cites.
Scikit-learn: Machine learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E. (2011) · 2011
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
MacEachern, S. N. (1999) · 1999
Cited alongside, same era.
Exchangeability, predictive distributions and parametric models
Fortini, S., Ladelli, L., and Regazzini, E. (2000) · 2000
Cited alongside, same era.
Neutral to the right processes from a predictive perspective: a review and new developments
Muliere, P., Walker, S., et al. (2000) · 2000
Cited alongside, same era.
Markov chain sampling methods for Dirichlet process mixture models
Neal, R. M. (2000) · 2000
Cited alongside, same era.
Conditioning, likelihood, and coherence: A review of some foundational concepts
Robins, J. and Wasserman, L. (2000) · 2000
Cited alongside, same era.
Mathematical tools for probabilistic risk analysis
Bedford, T. and Cooke, R. (2001) · 2001
Cited alongside, same era.
Later among the works it cites.
Predictive construction of priors in Bayesian nonparametrics
Fortini, S. and Petrone, S. (2012) · 2012
Later among the works it cites.
Deep mixtures of factor analysers
Tang, Y., Salakhutdinov, R., and Hinton, G. (2012) · 2012
Later among the works it cites.
Bayesian Nonparametric Regression Through Mixture Models
Wade, S. (2013) · 2013
Later among the works it cites.
Bayesian inference with misspecified models
Walker, S. G. (2013) · 2013
Later among the works it cites.
A Bayesian nonparametric regression model with normalized weights: a study of hippocampal atrophy in alzheimer’s disease
Antoniano-Villalobos, I., Wade, S., and Walker, S. G. (2014) · 2014
Later among the works it cites.
Predictive distribution (de Finetti’s view)
Fortini, S. and Petrone, S. (2014) · 2014
Later among the works it cites.
Understanding predictive information criteria for Bayesian models
Gelman, A., Hwang, J., and Vehtari, A. (2014) · 2014
Later among the works it cites.
The utility of Bayesian predictive probabilities for interim monitoring of clinical trials
Saville, B. R., Connor, J. T., Ayers, G. D., and Alvarez, J. (2014) · 2014
Later among the works it cites.
A predictive study of Dirichlet process mixture models for curve fitting
Wade, S., Walker, S. G., and Petrone, S. (2014) · 2014
Later among the works it cites.
Predictivist Bayes density estimation
Hahn, P. R. (2015) · 2015
Later among the works it cites.
On Bayesian estimation of marginal structural models
Saarela, O., Stephens, D. A., Moodie, E. E., and Klein, M. B. (2015) · 2015
Later among the works it cites.
A general framework for updating belief distributions
Bissiri, P. G., Holmes, C. C., and Walker, S. G. (2016) · 2016
Later among the works it cites.
UCI machine learning repository
Dua, D. and Graff, C. (2017) · 2017
Later among the works it cites.
Fundamentals of Nonparametric Bayesian Inference
Ghosal, S. and van der Vaart, A. (2017) · 2017
Later among the works it cites.
JAX: composable transformations of Python+NumPy programs
Bradbury, J., Frostig, R., Hawkins, P., Johnson, M. J., Leary, C., Maclaurin, D., and Wanderman-Milne, S. (2018) · 2018
Later among the works it cites.
A Bayesian motivated laplace inversion for multivariate probability distributions
Cappello, L. and Walker, S. G. (2018) · 2018
Later among the works it cites.
Graphical methods for data analysis
Chambers, J. M. (2018) · 2018
Later among the works it cites.
On recursive Bayesian predictive distributions
Hahn, P. R., Martin, R., and Walker, S. G. (2018) · 2018
Later among the works it cites.
On nonparametric estimation of a mixing density via the predictive recursion algorithm
Martin, R. (2018) · 2018
Later among the works it cites.
dirichletprocess: An R package for fitting complex Bayesian nonparametric models
Ross, G. J. and Markwick, D. (2018) · 2018
Later among the works it cites.
General Bayesian updating and the loss-likelihood bootstrap
Lyddon, S. P., Holmes, C. C., and Walker, S. G. (2019) · 2019
Later among the works it cites.
Nonparametric density estimation for high-dimensional data—algorithms and applications
Wang, Z. and Scott, D. W. (2019) · 2019
Later among the works it cites.
A class of models for Bayesian predictive inference
Berti, P., Dreassi, E., Pratelli, L., and Rigo, P. (2020) · 2020
Later among the works it cites.
On the marginal likelihood and cross-validation
Fong, E. and Holmes, C. (2020) · 2020
Later among the works it cites.
Quasi-Bayes properties of a procedure for sequential learning in mixture models
Fortini, S. and Petrone, S. (2020) · 2020
Later among the works it cites.
Weighted Bayesian bootstrap for scalable posterior distributions
Newton, M. A., Polson, N. G., and Xu, J. (2020) · 2020
Later among the works it cites.
SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson, A. R. J., Jones, E., Kern, R., Larson, E., Carey, C. J., Polat, İ., Feng, Y., Moore, E. W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E. A., Harris, C. R., Archibald, A. M., Ribeiro, A. H., Pedregosa, F., van Mulbregt, P., and SciPy 1.0 Contributors (2020) · 2020
Later among the works it cites.
Limit theorems for a class of identically distributed random variables
Berti, P., Pratelli, L., and Rigo, P. (2004) · 2052
Closest in time.
Nonparametric learning from Bayesian models with randomized objective functions
Lyddon, S., Walker, S., and Holmes, C. C. (2018) · 2085
Closest in time.
Exchangeable sequences driven by an absolutely continuous random measure
Berti, P., Pratelli, L., and Rigo, P. (2013) · 2090
Closest in time.