 | 2011 |
|---|
| 12 |       | David R. Bickel:
Hypothesis support measured by likelihood in the presence of nuisance parameters, multiple studies, and multiple comparisons
CoRR abs/1101.0305: (2011) |
| 11 | | David R. Bickel:
Blending Bayesian and frequentist
CoRR abs/1107.2353: (2011) |
| 10 | | 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) |
| 9 | | David R. Bickel:
Resolving conflicts between
CoRR abs/1111.6174: (2011) |
| 2010 |
|---|
| 8 | | Corey M. Yanofsky,
David R. Bickel:
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing.
BMC Bioinformatics 11: 63 (2010) |
| 7 | | David R. Bickel:
Minimum description length methods of medium-scale simultaneous inference
CoRR abs/1009.5981: (2010) |
| 6 | | David R. Bickel:
Statistical inference optimized with respect to the observed sample for single or multiple comparisons
CoRR abs/1010.0694: (2010) |
| 2009 |
|---|
| 5 | | 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.
Bioinformatics 25(6): 772-779 (2009) |
| 2006 |
|---|
| 4 | | David R. Bickel,
Rudolf Frühwirth:
On a fast, robust estimator of the mode: Comparisons to other robust estimators with applications.
Computational Statistics & Data Analysis 50(12): 3500-3530 (2006) |
| 2005 |
|---|
| 3 | | David R. Bickel:
Probabilities of spurious connections in gene networks: application to expression time series.
Bioinformatics 21(7): 1121-1128 (2005) |
| 2004 |
|---|
| 2 | | David R. Bickel:
Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudes.
Bioinformatics 20(5): 682-688 (2004) |
| 2003 |
|---|
| 1 | | David R. Bickel:
Robust Cluster Analysis of Microarray Gene Expression Data with the Number of Clusters Determined Biologically.
Bioinformatics 19(7): 818-824 (2003) |
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