Selected publications
This list includes links to openly accessible versions of the articles.
Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory
DR Bickel
International Journal of Approximate Reasoning 142, 81-93, 2022
[PDF] from archives-ouvertes.fr
Propagating clade and model uncertainty to confidence intervals of divergence times and branch lengths
DR Bickel
Molecular Phylogenetics and Evolution 167, 107357, 2022
[PDF] from archives-ouvertes.fr
Null hypothesis significance testing defended and calibrated by Bayesian model checking
DR Bickel
The American Statistician 75, 249-255, 2021
Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors
DR Bickel
International Journal of Approximate Reasoning 66, 53-72, 2015
Sharpen statistical significance: Evidence thresholds and Bayes factors sharpened into Occam’s razor
DR Bickel
Stat 8 (1), e215, 2019
Incorporating prior knowledge about genetic variants into the analysis of genetic association data: An empirical Bayes approach
A Karimnezhad, DR Bickel
IEEE/ACM Transactions on Computational Biology and Bioinformatics 17 (2 …, 2018
Confidence distributions and empirical Bayes posterior distributions unified as distributions of evidential support
DR Bickel
Communications in Statistics-Theory and Methods, 1-22, 2020
An explanatory rationale for priors sharpened into Occam’s razors
DR Bickel
Bayesian Analysis 15 (4), 1299-1321, 2020
Confidence intervals, significance values, maximum likelihood estimates, etc. sharpened into Occam’s razors
DR Bickel
Communications in Statistics-Theory and Methods 49 (11), 2703-2712, 2020
Bayesian revision of a prior given prior-data conflict, expert opinion, or a similar insight: a large-deviation approach
DR Bickel
Statistics 52 (3), 552-570, 2018
Null hypothesis significance testing interpreted and calibrated by estimating probabilities of sign errors: A Bayes-frequentist continuum
DR Bickel
The American Statistician 75 (1), 104-112, 2020
A note on fiducial model averaging as an alternative to checking Bayesian and frequentist models
DR Bickel
Communications in Statistics-Theory and Methods 47 (13), 3125-3137, 2018
Maximum entropy derived and generalized under idempotent probability to address Bayes-frequentist uncertainty and model revision uncertainty
DR Bickel
The performance of a new local false discovery rate method on tests of association between coronary artery disease (CAD) and genome-wide genetic variants
S Mei, A Karimnezhad, M Forest, DR Bickel, CMT Greenwood
PloS one 12 (9), e0185174, 2017
Reporting Bayes factors or probabilities to decision makers of unknown loss functions
DR Bickel
Communications in Statistics-Theory and Methods 48 (9), 2163-2174, 2019
Interval estimation, point estimation, and null hypothesis significance testing calibrated by an estimated posterior probability of the null hypothesis
DR Bickel
Communications in Statistics-Theory and Methods, 1-31, 2021
Testing prediction algorithms as null hypotheses: Application to assessing the performance of deep neural networks
DR Bickel
Stat 9 (1), e270, 2020
Computable priors sharpened into Occam’s razors
DR Bickel
Moderating probability distributions for unrepresented uncertainty: Application to sentiment analysis via deep learning
DR Bickel
Communications in Statistics-Theory and Methods, 1-15, 2020
Departing from Bayesian inference toward minimaxity to the extent that the posterior distribution is unreliable
DR Bickel
Statistics & Probability Letters 164, 108802, 2020
The p-value interpreted as the posterior probability of explaining the data: Applications to multiple testing and to restricted parameter spaces
DR Bickel
Estimating the local false discovery rate via a bootstrap solution to the reference class problem
F Abbas-Aghababazadeh, M Alvo, DR Bickel
Plos one 13 (11), e0206902, 2018
Model averages sharpened into Occam’s razors: Deep learning enhanced by Rényi entropy
DR Bickel
Communications in Statistics-Theory and Methods, 1-13, 2021
Source: The links of the first three articles were copied from Google Scholar on May 3, 2022. The rest of the list was copied from Google Scholar without modification except the replacement of funding mandate information with horizontal separators on May 3, 2022.
David Bickel, statistician 
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