Fetching the paper…
Reading the bibliography…
We consider a novel paradigm for Bayesian testing of hypotheses and Bayesian model comparison.
The testing of statistical hypotheses in relation to probabilities a priori
Neyman, J. and Pearson, E. (1933) · 1933
Earlier work this paper cites.
Theory of Probability
Jeffreys, H. (1939) · 1939
Earlier work this paper cites.
A statistical paradox
Lindley, D. (1957) · 1957
Earlier work this paper cites.
Doing what comes naturally: Interpreting a tail area as a posterior probability or as a likelihood ratio
DeGroot, M. (1973) · 1973
Earlier work this paper cites.
Estimating the dimension of a model
Schwarz, G. (1978) · 1978
Earlier work this paper cites.
A Bayesian analysis of classical hypothesis testing
Bernardo, J. (1980) · 1980
Earlier work this paper cites.
Discussion of Shafer’s ‘Lindley’s paradox’
DeGroot, M. (1982) · 1982
Earlier work this paper cites.
On Lindley’s paradox (with discussion)
Shafer, G. (1982) · 1982
Earlier work this paper cites.
Statistical Decision Theory and Bayesian Analysis
Berger, J. (1985) · 1985
Earlier work this paper cites.
Testing a point-null hypothesis: the irreconcilability of significance levels and evidence (with discussion)
Berger, J. and Sellke, T. (1987) · 1987
Earlier work this paper cites.
Reconciling Bayesian and frequentist evidence in the one-sided testing problem
Casella, G. and Berger, R. (1987) · 1987
Earlier work this paper cites.
Posterior Bayes factors (with discussion)
Aitkin, M. (1991) · 1991
Earlier work this paper cites.
The superego, the ego and the id in statistical reasoning
Gigerenzer, G. (1991) · 1991
Earlier work this paper cites.
Ockham’s razor and Bayesian analysis
Berger, J. and Jefferys, W. (1992) · 1992
Earlier work this paper cites.
Ockham’s razor and Bayesian analysis
Jefferys, W. and Berger, J. (1992) · 1992
Earlier work this paper cites.
A note on Jeffreys-Lindley paradox
Robert, C. (1993) · 1993
Earlier work this paper cites.
Model selection and accounting for model uncertainty in graphical models using Occam’s window
Madigan, D. and Raftery, A. (1994) · 1994
Earlier work this paper cites.
Bayesian model choice through Markov chain Monte Carlo
Carlin, B. and Chib, S. (1995) · 1995
Earlier work this paper cites.
Fractional Bayes factors for model comparisons
O’Hagan, A. (1995) · 1995
Earlier work this paper cites.
The intrinsic Bayes factor for model selection and prediction
Berger, J. and Pericchi, L. (1996) · 1996
Earlier work this paper cites.
Statistical inference, Occam’s razor, and statistical mechanics on the space of probability distributions
Balasubramanian, V. (1997) · 1997
Earlier work this paper cites.
Unified frequentist and Bayesian testing of a precise hypothesis (with discussion)
Berger, J., Boukai, B., and Wang, Y. (1997) · 1997
Earlier work this paper cites.
Alternative Bayes factors for model selection
De Santis, F. and Spezzaferri, F. (1997) · 1997
Earlier work this paper cites.
Properties of intrinsic and fractional Bayes factors
O’Hagan, A. (1997) · 1997
Earlier work this paper cites.
On Bayesian analysis of mixtures with an unknown number of components (with discussion)
Richardson, S. and Green, P. (1997) · 1997
Earlier work this paper cites.
Bayes factors and marginal distributions in invariant situations
Berger, J., Pericchi, L., and Varshavsky, J. (1998) · 1998
Earlier work this paper cites.
Simultaneous Bayesian-frequentist sequential testing of nested hypotheses
Berger, J., Boukai, B., and Wang, Y. (1999) · 1999
Earlier work this paper cites.
Bayesian model averaging: A tutorial (with discussion)
Hoeting, J. A., Madigan, D., Raftery, A., and Volinsky, C. (1999) · 1999
Cited alongside, same era.
Computational and inferential difficulties with mixture posterior distributions
Celeux, G., Hurn, M., and Robert, C. (2000) · 2000
Cited alongside, same era.
Monte Carlo Methods in Bayesian Computation
Chen, M., Shao, Q., and Ibrahim, J. (2000) · 2000
Cited alongside, same era.
The consistency of the BIC Markov order estimator
Csiszár, I. and Shields, P. (2000) · 2000
Cited alongside, same era.
Convergence rates of posterior distributions
Ghosal, S., Ghosh, J. K., and van der Vaart, A. W. (2000) · 2000
Cited alongside, same era.
Dealing with label switching in mixture models
Stephens, M. (2000) · 2000
Cited alongside, same era.
Penalized loss functions for Bayesian model comparison
Plummer, M. (2008) · 2008
Later among the works it cites.
The Cult of Statistical Significance: How the standard error costs us jobs, justice, and lives
Ziliak, S. and McCloskey, D. (2008) · 2008
Later among the works it cites.
Three enigmatic examples and inference from likelihood
Fraser, D., Wong, A., and Sun, Y. (2009) · 2009
Later among the works it cites.
Bayesian inference on mixtures of distributions
Lee, K., Marin, J.-M., Mengersen, K., and Robert, C. (2009) · 2009
Later among the works it cites.
Statistical Inference: A Bayesian/Likelihood approach
Aitkin, M. (2010) · 2010
Later among the works it cites.
On the use of non-local prior densities in Bayesian hypothesis tests
Johnson, V. and Rossell, D. (2010) · 2010
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Occam’s razor
Rasmussen, C. E. and Ghahramani, Z. (2001) · 2001
Cited alongside, same era.
The Bayesian Choice
Robert, C. (2001) · 2001
Cited alongside, same era.
Information Theory, Inference & Learning Algorithms
MacKay, D. J. C. (2002) · 2002
Cited alongside, same era.
Bayesian measures of model complexity and fit
Spiegelhalter, D. J., Best, N., B.P., C., and Van der Linde, A. (2002) · 2002
Cited alongside, same era.
Bayesian model assessment and comparison using crossvalidation predictive densities
Vehtari, A. and Lampinen, J. (2002) · 2002
Cited alongside, same era.
Could Fisher, Jeffreys and Neyman have agreed on testing?
Berger, J. (2003) · 2003
Cited alongside, same era.
Later among the works it cites.
Adaptive Bayesian density estimation with location-scale mixtures
Kruijer, W., Rousseau, J., and van der Vaart, A. (2010) · 2010
Later among the works it cites.
Bayesian ideas and data analysis: an introduction for scientists and statisticians
Christensen, R., Johnson, W., Branscum, A., and Hanson, T. (2011) · 2011
Later among the works it cites.
Is Bayes posterior just quick and dirty confidence?
Fraser, D. (2011) · 2011
Later among the works it cites.
Importance sampling methods for Bayesian discrimination between embedded models
Marin, J. and Robert, C. (2011) · 2011
Later among the works it cites.
Lack of confidence in ABC model choice
Robert, C., Cornuet, J.-M., Marin, J.-M., and Pillai, N. (2011) · 2011
Later among the works it cites.
Asymptotic behaviour of the posterior distribution in overfitted mixture models
Rousseau, J. and Mengersen, K. (2011) · 2011
Later among the works it cites.
Posterior rates of convergence for dirichlet mixtures of exponential power densities
Scricciolo, C. (2011) · 2011
Later among the works it cites.
A survey of Bayesian predictive methods for model assessment, selection and comparison
Vehtari, A. and Ojanen, J. (2012) · 2012
Later among the works it cites.
The whetstone and the alum block: Balanced objective Bayesian comparison of nested models for discrete data
Consonni, G., Forster, J. J., and La Rocca, L. (2013) · 2013
Later among the works it cites.
Convergence of latent mixing measures in finite and infinite mixture models
Nguyen, X. (2013) · 2013
Later among the works it cites.
Who should be afraid of the Jeffreys–Lindley paradox?
Spanos, A. (2013) · 2013
Later among the works it cites.
Testing a precise null hypothesis: The case of Lindley’s paradox
Sprenger, J. (2013) · 2013
Later among the works it cites.
Relevant statistics for Bayesian model choice
Marin, J., Pillai, N., Robert, C., and Rousseau, J. (2014) · 2014
Closest in time.
Bayesian model choice via mixture distributions with application to epidemics and population process models
O’Neill, P. D. and Kypraios, T. (2014) · 2014
Closest in time.
On the Jeffreys–Lindley paradox
Robert, C. (2014) · 2014
Closest in time.
Label switching in Bayesian mixture models: Deterministic relabeling strategies
Rodriguez, C. and Walker, S. (2014) · 2014
Closest in time.
Bayes, reproducibility, and the quest for truth
Fraser, D., Bédard, M., Wong, A., Lin, W., and Fraser, A. (2016) · 2016
Closest in time.
Fast bayesian factor analysis via automatic rotations to sparsity
Rockova, V. and George, E. I. (2016) · 2016
Closest in time.
The ASA’s statement on p-values: Context, process, and purpose
Wasserstein, R. L. and Lazar, N. A. (2016) · 2016
Closest in time.
Abandon statistical significance
McShane, B. B., Gal, D., Gelman, A., Robert, C., and Tackett, J. L. (2018) · 2018
Closest in time.