Contact

All Stories

  1. A Bayesian interpretation of possibility theory applied to the replication crisis & model checking

    Article • International Journal of Approximate Reasoning, March 2022, Elsevier

    David R. Bickel

  2. Effect size estimation based on calibrated p-values

    Article • Communication in Statistics- Theory and Methods, May 2021, Taylor & Francis

    David R. Bickel

  3. Model averages sharpened into Occam’s razors: Deep learning enhanced by Rényi entropy

    Article • Communication in Statistics- Theory and Methods, March 2021, Taylor & Francis

    David R. Bickel

  4. Moderating probability distributions for unrepresented uncertainty: Application to sentiment analysis via deep learning

    Article • Communication in Statistics- Theory and Methods, January 2021, Taylor & Francis

    David R. Bickel

  5. An evidential argument for the law of likelihood generalized to composite hypotheses

    Article • Statistical Methods & Applications, January 2021, Springer Science + Business Media

    David R. Bickel

  6. Occam's razor for prior distributions with an application to null hypothesis significance testing

    Article • Bayesian Analysis, December 2020, Institute of Mathematical Statistics

    David R. Bickel

  7. Probabilities of sign errors as calibrated p-values

    Article • The American Statistician, October 2020, Taylor & Francis

    David R. Bickel

  8. Propagating unquantified uncertainty with an application to null hypothesis significance testing

    Article • Statistics & Probability Letters, September 2020, Elsevier

    David R. Bickel

  9. Frequentist and Bayesian inference unified and generalized by evidential support distributions

    Article • Communication in Statistics- Theory and Methods, July 2020, Taylor & Francis

    David R. Bickel

  10. Testing prediction algorithms as null hypotheses: Application to assessing the performance of deep neural networks

    Article • Stat, January 2020, Wiley

    David R. Bickel

  11. A Bayesian defense of null hypothesis significance testing

    Article • The American Statistician, December 2019, Taylor & Francis

    David R. Bickel

  12. Model fusion and multiple testing in the likelihood paradigm: shrinkage and evidence supporting a point null hypothesis

    Article • Statistics, August 2019, Taylor & Francis

    David R. Bickel

  13. Confidence intervals, significance values, maximum likelihood estimates, etc. sharpened into Occam’s razors

    Article • Communication in Statistics- Theory and Methods, July 2019, Taylor & Francis

    David R. Bickel

  14. What's wrong with false discovery rates and what to do about it

    Article • Communications in Statistics - Simulation and Computation, June 2019, Taylor & Francis

    David R. Bickel

  15. The c-value: A frequentist semantics for possibility theory

    Article • Bernoulli, February 2019, Bernoulli Society for Mathematical Statistics and Probability

    David R. Bickel

  16. Occam's razor for the replication crisis

    Article • Stat, January 2019, Wiley

    David R. Bickel

  17. New methods of reference class selection applied to genomics data analysis

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    David R. Bickel

  18. Estimating the local false discovery rate via a bootstrap solution to the reference class problem

    Article • PLoS ONE, November 2018, PLOS

    David R. Bickel

  19. How to revise a prior distribution in light of a new insight

    Article • Statistics, January 2018, Taylor & Francis

    David R. Bickel

  20. Averaging Bayesian or frequentist models via a confidence or fiducial distribution

    Article • Communication in Statistics- Theory and Methods, July 2017, Taylor & Francis

    David R. Bickel

  21. What to do after checking the prior and the rest of the Bayesian model

    Article • International Journal of Approximate Reasoning, November 2015, Elsevier

    David R. Bickel

  22. How to combine frequentist data analysis with Bayesian data analysis

    Article • Statistical Methods & Applications, February 2015, Springer Science + Business Media

    David R. Bickel

  23. Corrigendum to: Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions

    Article • Statistical Applications in Genetics and Molecular Biology, January 2015, De Gruyter

    David R. Bickel

  24. How to estimate the local false discovery rates of one or more hypothesis tests

    Article • International Statistical Review, August 2014, Wiley

    David R. Bickel

  25. Coherent fiducial distributions

    Article • Journal of Statistical Planning and Inference, February 2014, Elsevier

    David R. Bickel

  26. Errata

    Article • The FASEB Journal, January 2014, Federation of American Societies For Experimental Biology (FASEB)

    David R. Bickel

  27. Criteria for a measure of evidence and two optimal measures of evidence

    Article • International Statistical Review, July 2013, Wiley

    David R. Bickel

  28. Muscle uncoupling protein 3 overexpression mimics endurance training and reduces circulating biomarkers of incomplete  -oxidation

    Article • The FASEB Journal, June 2013, Federation of American Societies For Experimental Biology (FASEB)

    David R. Bickel

  29. Pseudo-Likelihood, Explanatory Power, and Bayes's Theorem [Comment on “A Likelihood Paradigm for Clinical Trials”]

    Article • Journal of Statistical Theory and Practice, January 2013, Springer Science + Business Media

    David R. Bickel

  30. Empirical Bayes estimation of posterior probabilities of enrichment: A comparative study of five estimators of the local false discovery rate

    Article • BMC Bioinformatics, January 2013, Springer Science + Business Media

    David R. Bickel

  31. Parametric Estimation of the Local False Discovery Rate for Identifying Genetic Associations

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2013, Institute of Electrical & Electronics Engineers (IEEE)

    David R. Bickel

  32. Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions

    Article • Statistical Applications in Genetics and Molecular Biology, January 2013, De Gruyter

    David R. Bickel

  33. Game-theoretic probability combination with applications to resolving conflicts between statistical methods

    Article • International Journal of Approximate Reasoning, September 2012, Elsevier

    David R. Bickel

  34. Confidence distributions and coherence

    Article • Sankhya A, August 2012, Springer Science + Business Media

    David R. Bickel

  35. Bayesian-like data analysis based on confidence distributions instead of prior distributions

    Article • Communication in Statistics- Theory and Methods, April 2012, Taylor & Francis

    David R. Bickel

  36. Empirical Bayes Interval Estimates that are Conditionally Equal to Unadjusted Confidence Intervals or to Default Prior Credibility Intervals

    Article • Statistical Applications in Genetics and Molecular Biology, January 2012, De Gruyter

    David R. Bickel

  37. Estimators of the local false discovery rate designed for small numbers of tests

    Article • Statistical Applications in Genetics and Molecular Biology, January 2012, De Gruyter

    David R. Bickel

  38. Controlling the degree of caution in statistical inference with the Bayesian and frequentist approaches as opposite extremes

    Article • Electronic Journal of Statistics, January 2012, Institute of Mathematical Statistics

    David R. Bickel

  39. A predictive approach to measuring the strength of statistical evidence for single and multiple comparisons

    Article • Canadian Journal of Statistics, July 2011, Wiley

    David R. Bickel

  40. Correcting p values for the bias due to using a statistical test when its assumptions are false

    Article • Biometrics, September 2010, Wiley

    David R. Bickel

  41. Long-Chain Fatty Acid Combustion Rate Is Associated with Unique Metabolite Profiles in Skeletal Muscle Mitochondria

    Article • PLoS ONE, March 2010, PLOS

    David R. Bickel

  42. Shrinkage Estimation of Effect Sizes as an Alternative to Hypothesis Testing Followed by Estimation in High-Dimensional Biology: Applications to Differential Gene Expression

    Article • Statistical Applications in Genetics and Molecular Biology, January 2010, De Gruyter

    David R. Bickel

  43. Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing

    Article • BMC Bioinformatics, January 2010, Springer Science + Business Media

    David R. Bickel

  44. Gene network reconstruction from transcriptional dynamics under kinetic model uncertainty: a case for the second derivative

    Article • Bioinformatics, February 2009, Oxford University Press (OUP)

    David R. Bickel

  45. Genome-wide allele-specific expression analysis using Massively Parallel Signature Sequencing (MPSS™) Reveals cis- and trans-effects on gene expression in maize hybrid meristem tissue

    Article • Plant Molecular Biology, January 2008, Springer Science + Business Media

    David R. Bickel

  46. Correcting the Estimated Level of Differential Expression for Gene Selection Bias: Application to a Microarray Study

    Article • Statistical Applications in Genetics and Molecular Biology, January 2008, De Gruyter

    David R. Bickel

  47. Cluster and Classification Techniques for the Biosciences. By Alan H  Fielding. Cambridge and New York: Cambridge University Press. $120.00 (hardcover); $55.00 (paper). xii + 246 p; ill.; index. ISBN: 0‐521‐85281‐1 (hc); 0‐521‐61800‐2 (pb). 2007.

    Article • The Quarterly Review of Biology, December 2007, University of Chicago Press

    David R. Bickel

  48. On a fast, robust estimator of the mode: Comparisons to other robust estimators with applications

    Article • Computational Statistics & Data Analysis, August 2006, Elsevier

    David R. Bickel

  49. Probabilities of spurious connections in gene networks: application to expression time series

    Article • Bioinformatics, November 2004, Oxford University Press (OUP)

    David R. Bickel

  50. Comparison of methods of temperature measurement in swine

    Article • Laboratory Animals, July 2004, SAGE Publications

    David R. Bickel

  51. Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudes

    Article • Bioinformatics, January 2004, Oxford University Press (OUP)

    David R. Bickel

  52. Robust and efficient estimation of the mode of continuous data: the mode as a viable measure of central tendency

    Article • Journal of Statistical Computation and Simulation, December 2003, Taylor & Francis

    David R. Bickel

  53. Smoothing Before Estimating Uncertainty, Scaling and Intermittency: Application to Short Heart Rate Signals

    Article • Fractals, September 2003, World Scientific Pub Co Pte Lt

    David R. Bickel

  54. Robust cluster analysis of microarray gene expression data with the number of clusters determined biologically

    Article • Bioinformatics, May 2003, Oxford University Press (OUP)

    David R. Bickel

  55. Robust estimators of the mode and skewness of continuous data

    Article • Computational Statistics & Data Analysis, April 2002, Elsevier

    David R. Bickel

  56. Generalized entropy and multifractality of time-series: relationship between order and intermittency

    Article • Chaos Solitons & Fractals, March 2002, Elsevier

    David R. Bickel

  57. Asymptotic distribution of time-series intermittency estimates: applications to economic and clinical data

    Article • Computational Statistics & Data Analysis, October 2001, Elsevier

    David R. Bickel

  58. Fractal-Gaussian-rate model of molecular evolution

    Article • Journal of Molecular Evolution, April 2000, Springer Science + Business Media

    David R. Bickel

  59. REST QUANTIFIED BY A FRACTAL DIMENSION OF MOVEMENT EVENTS: A BIOMEDICAL APPLICATION OF INTERMITTENCY ESTIMATION

    Article • Fractals, March 2000, World Scientific Pub Co Pte Lt

    David R. Bickel

  60. Simple estimation of intermittency in multifractal stochastic processes: biomedical applications

    Article • Physics Letters A, November 1999, Elsevier

    David R. Bickel

  61. Heart rate variability of preterm neonates quantified by energy entropy

    Article • Nursing and Health Sciences, June 1999, Wiley

    David R. Bickel

  62. Fractional-difference model of molecular evolution

    Article • Physics Letters A, May 1999, Elsevier

    David R. Bickel

  63. Quantifying the intermittency of point processes

    Article • Physica A Statistical Mechanics and its Applications, April 1999, Elsevier

    David R. Bickel

  64. Fractal renewal model of molecular evolution

    Article • Journal of Molecular Evolution, November 1998, Springer Science + Business Media

    David R. Bickel

  65. Multiplicative model of molecular evolution

    Article • Fractals, September 1998, World Scientific Pub Co Pte Lt

    David R. Bickel

  66. Fractal-rate Poisson model of molecular evolution

    Article • Molecular Biology and Evolution, August 1998, Oxford University Press (OUP)

    David R. Bickel

  67. Lévy-stable model of molecular evolution

    Article • Physica A Statistical Mechanics and its Applications, January 1998, Elsevier

    David R. Bickel