David R. Bickel

22 papers Journal 22

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Fisher's disjunction as the principle vindicating p-values, confidence intervals, and their generalizations: A frequentist semantics for possibility theory. Int. J. Approx. Reason. David R. Bickel
2023	J	`jnl`	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. David R. Bickel
2022	J	`jnl`	Coherent checking and updating of Bayesian models without specifying the model space: A decision-theoretic semantics for possibility theory. Int. J. Approx. Reason. David R. Bickel
2021	J	`jnl`	Correcting false discovery rates for their bias toward false positives. Commun. Stat. Simul. Comput. David R. Bickel, Abbas Rahal
2020	J	`jnl`	Incorporating Prior Knowledge about Genetic Variants into the Analysis of Genetic Association Data: An Empirical Bayes Approach. IEEE ACM Trans. Comput. Biol. Bioinform. Ali Karimnezhad, David R. Bickel
2015	J	`jnl`	Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing. Stat. Methods Appl. David R. Bickel
2015	J	`jnl`	Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors. Int. J. Approx. Reason. David R. Bickel
2013	J	`jnl`	Empirical Bayes estimation of posterior probabilities of enrichment: A comparative study of five estimators of the local false discovery rate. BMC Bioinform. Zhenyu Yang, Zuojing Li, David R. Bickel
2013	J	`jnl`	Parametric Estimation of the Local False Discovery Rate for Identifying Genetic Associations. IEEE ACM Trans. Comput. Biol. Bioinform. Ye Yang, Farnoosh Abbas Aghababazadeh, David R. Bickel
2012	J	`jnl`	Game-theoretic probability combination with applications to resolving conflicts between statistical methods. Int. J. Approx. Reason. David R. Bickel
2011	J	`jnl`	Blending Bayesian and frequentist CoRR David R. Bickel
2011	J	`jnl`	Controlling the degree of caution in statistical inference with the Bayesian and frequentist approaches as opposite extremes CoRR David R. Bickel
2011	J	`jnl`	Hypothesis support measured by likelihood in the presence of nuisance parameters, multiple studies, and multiple comparisons CoRR David R. Bickel
2011	J	`jnl`	Resolving conflicts between statistical methods by probability combination: Application to empirical Bayes analyses of genomic data. CoRR David R. Bickel
2010	J	`jnl`	Minimum description length methods of medium-scale simultaneous inference CoRR David R. Bickel
2010	J	`jnl`	Statistical inference optimized with respect to the observed sample for single or multiple comparisons CoRR David R. Bickel
2010	J	`jnl`	Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing. BMC Bioinform. Corey M. Yanofsky, David R. Bickel
2009	J	`jnl`	Gene network reconstruction from transcriptional dynamics under kinetic model uncertainty: a case for the second derivative. Bioinform. David R. Bickel, Zahra Montazeri, Pei-Chun Hsieh, Mary Beatty, Shai J. Lawit, Nicholas J. Bate
2006	J	`jnl`	On a fast, robust estimator of the mode: Comparisons to other robust estimators with applications. Comput. Stat. Data Anal. David R. Bickel, Rudolf Frühwirth
2005	J	`jnl`	Probabilities of spurious connections in gene networks: application to expression time series. Bioinform. David R. Bickel
2004	J	`jnl`	Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudes. Bioinform. David R. Bickel
2003	J	`jnl`	Robust Cluster Analysis of Microarray Gene Expression Data with the Number of Clusters Determined Biologically. Bioinform. David R. Bickel