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ORCIDDavid R. Bickel
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2020 – today
- 2023
[j16]David R. Bickel
:
Maximum entropy derived and generalized under idempotent probability to address Bayes-frequentist uncertainty and model revision uncertainty: An information-theoretic semantics for possibility theory. Fuzzy Sets Syst. 453: 192-212 (2023)- [j15]David R. Bickel:
Fisher's disjunction as the principle vindicating p-values, confidence intervals, and their generalizations: A frequentist semantics for possibility theory. Int. J. Approx. Reason. 154: 27-37 (2023) - 2022
- [j14]David R. Bickel:
Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory. Int. J. Approx. Reason. 142: 81-93 (2022) - 2021
- [j13]David R. Bickel, Abbas Rahal:
Correcting false discovery rates for their bias toward false positives. Commun. Stat. Simul. Comput. 50(11): 3699-3713 (2021) - 2020
- [j12]Ali Karimnezhad, David R. Bickel:
Incorporating Prior Knowledge about Genetic Variants into the Analysis of Genetic Association Data: An Empirical Bayes Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 635-646 (2020)
2010 – 2019
- 2015
- [j11]David R. Bickel:
Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors. Int. J. Approx. Reason. 66: 53-72 (2015) - [j10]David R. Bickel:
Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing. Stat. Methods Appl. 24(4): 523-546 (2015) - 2013
- [j9]Zhenyu Yang, Zuojing Li, David R. Bickel:
Empirical Bayes estimation of posterior probabilities of enrichment: A comparative study of five estimators of the local false discovery rate. BMC Bioinform. 14: 87 (2013) - [j8]Ye Yang, Farnoosh Abbas Aghababazadeh, David R. Bickel:
Parametric Estimation of the Local False Discovery Rate for Identifying Genetic Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 10(1): 98-108 (2013) - 2012
- [j7]David R. Bickel:
Game-theoretic probability combination with applications to resolving conflicts between statistical methods. Int. J. Approx. Reason. 53(6): 880-891 (2012) - 2011
- [i6]David R. Bickel:
Hypothesis support measured by likelihood in the presence of nuisance parameters, multiple studies, and multiple comparisons. CoRR abs/1101.0305 (2011) - [i5]David R. Bickel:
Blending Bayesian and frequentist. CoRR abs/1107.2353 (2011) - [i4]David R. Bickel:
Controlling the degree of caution in statistical inference with the Bayesian and frequentist approaches as opposite extremes. CoRR abs/1109.5278 (2011) - [i3]David R. Bickel:
Resolving conflicts between statistical methods by probability combination: Application to empirical Bayes analyses of genomic data. CoRR abs/1111.6174 (2011) - 2010
- [j6]Corey M. Yanofsky, David R. Bickel:
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing. BMC Bioinform. 11: 63 (2010) - [i2]David R. Bickel:
Minimum description length methods of medium-scale simultaneous inference. CoRR abs/1009.5981 (2010) - [i1]David R. Bickel:
Statistical inference optimized with respect to the observed sample for single or multiple comparisons. CoRR abs/1010.0694 (2010)
2000 – 2009
- 2009
- [j5]David R. Bickel, Zahra Montazeri, Pei-Chun Hsieh, Mary Beatty, Shai J. Lawit, Nicholas J. Bate:
Gene network reconstruction from transcriptional dynamics under kinetic model uncertainty: a case for the second derivative. Bioinform. 25(6): 772-779 (2009) - 2006
- [j4]David R. Bickel, Rudolf Frühwirth:
On a fast, robust estimator of the mode: Comparisons to other robust estimators with applications. Comput. Stat. Data Anal. 50(12): 3500-3530 (2006) - 2005
- [j3]David R. Bickel:
Probabilities of spurious connections in gene networks: application to expression time series. Bioinform. 21(7): 1121-1128 (2005) - 2004
- [j2]David R. Bickel:
Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudes. Bioinform. 20(5): 682-688 (2004) - 2003
- [j1]David R. Bickel:
Robust Cluster Analysis of Microarray Gene Expression Data with the Number of Clusters Determined Biologically. Bioinform. 19(7): 818-824 (2003)
Coauthor Index
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