Publications
Evaluating the
performance of a simple inductive procedure in the presence of
overfitting error, A.B. Nobel, Proceedings of the Fourth Annual
Conference on Computational Learning Theory, pp.267-274, Santa Cruz,
CA, 1991.
A Recurrence theorem
for dependent processes with applications to data compression, A.B.
Nobel and A.D. Wyner, IEEE Transactions on Information Theory,
38:1561-1564, 1992.
A note on uniform
laws of averages for dependent processes, A.B. Nobel and A. Dembo,
Statistics and Probability Letters, 17:169-172, 1993.
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A counterexample
concerning uniform ergodic theorems for a class of functions, A.B.
Nobel, Statistics and Probability Letters, 24:165-168, 1995.
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version
Termination and continuity of greedy growing for tree-structured vector
quantizers, A.B. Nobel and R.A. Olshen, IEEE Transactions on
Information Theory, 42:191-205, 1996.
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Consistency of
data-driven histogram methods for density estimation and
classification, G. Lugosi and A.B. Nobel, Annals of Statistics,
24:687-706, 1996.
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Vanishing distortion
and shrinking cells, A.B. Nobel, IEEE Transactions on Information
Theory, 42:1303-1305, 1996.
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version
Histogram regression estimation using data-dependent partitions, A.B.
Nobel, Annals of Statistics, 24:1084-1105, 1996.
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Recursive
partitioning to reduce distortion, A.B. Nobel, IEEE Transactions on
Information Theory, 43:1122-1133, 1997.
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version
Density estimation
from an individual numerical sequence, A.B. Nobel, G. Morvai and S.
Kulkarni, IEEE Transactions on Information Theory, 44:537-541, 1998.
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version
On density estimation
from an ergodic process, T.M. Adams and A.B. Nobel, Annals of
Probability, vol. 26:794-804, 1998.
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Limits to
classification and regression estimation from ergodic processes, A.B.
Nobel, Annals of Statistics, 27:262-273, 1999.
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Adaptive model
selection using empirical complexities, G. Lugosi and A.B. Nobel,
Annals of Statistics, 27:1830-1864, 1999.
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Regression estimation
from an individual stable sequence, G. Morvai, S.R. Kulkarni, and A.B.
Nobel, Statistics, 33:99-118, 1999.
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Finitary
reconstruction of a measure preserving transformation, T.M. Adams and
A.B. Nobel, Israel Journal of Mathematics, 126:309-326, 2001.
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Estimating a function
from ergodic samples with additive noise, A.B. Nobel and T.M. Adams,
IEEE Transactions on Information Theory, 47:2895-2902, 2001.
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Consistent estimation
of a dynamical map, A.B. Nobel, in the collection Nonlinear Dynamics and Statistics,
pp.267-280,
edited by A.I. Mees, Birkhauser, Boston, 2001.
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version
Analysis of a
complexity based pruning method for classification trees, A.B. Nobel,
IEEE Transactions on Information Theory, 48:2362-2368, 2002.
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On optimal sequential
prediction schemes for general processes, A.B. Nobel, IEEE Transactions
on Information Theory, vol. 49:83-98, 2003.
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Indistinguishability
of absolutely continuous and singular distributions, S.P. Lalley and
A.B. Nobel, Statistics and Probability Letters, 62:145-154, 2003.
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Repeated Observation
of Breast Tumor Subtypes in Independent Gene Expression Data Sets, T.
Sorlie, R. Tibshirani, J. Parker, T. Hastie, J.S. Marron, A. Nobel, S.
Deng,H. Johnsen, R. Pesich, S. Geisler, C.M. Perou, P.E. Lonning, P.O.
Brown, A-L. Borresen-Dale and D. Botstein, Proceedings of the US
National Academy of Sciences, 100:8418-8423, 2003.
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Some statistical
properties of memoryless individual sequences, A.B. Nobel, IEEE
Transactions on Information Theory, 50:1497-1505, 2004.
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Significance analysis
of functional categories in gene expression studies: a structured
permutation approach, W.T. Barry, A.B. Nobel and F.A. Wright,
Bioinformatics, 21:1943-1949, 2005
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ChIPOTle: A
user-friendly tool for the analysis of ChIP-chip data, M.J. Buck, A.B.
Nobel and J.D. Lieb, Genome Biology, 6:R97, 2005.
Link
Understanding
Patterns of TCP Connection Usage with Statistical Clustering, F.
Hernández-Campos, A.B. Nobel, F.D. Smith, K. Jeffay.
Proceedings of the Thirteenth IEEE/ACM International Symposium on
Modeling, Analysis, and Simulation of Computer and Telecommunication
Systems (MASCOTS), Atlanta, GA, September 2005.
Mining Approximate
Frequent Itemsets from Noisy Data, J. Liu, S. Paulsen, W. Wang, A.
Nobel and J. Prins, Proceedings of the Fifth IEEE International
Conference on Data Mining (ICDM), Houston, TX, November, 2005.
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Hypothesis testing
for families of dependent processes, A.B. Nobel, Bernoulli, 12:251-269,
2006.
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Mining Approximate
Frequent Itemsets in the Presence of Noise: Algorithms and Analysis, J.
Liu, S. Paulsen, X. Sun, W. Wang, A.B. Nobel and J. Prins, Proceedings
of the 2006 SIAM Conference on Data Mining (SDM), Bethesda, MD, April
2006.
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version
The Molecular
Portraits of Breast Tumors Are Conserved Across Microarray Platforms,
Z. Hu, C. Fan, D.S. Oh, J.S. Marron, X. He, B.F. Qaqish, C. Livasy,
L.A. Carey, E. Reynolds, L. Dressler, A. Nobel, J. Parker, M.G. Ewend,
L.R. Sawyer, D. Xiang, J. Wu, Y. Liu, R. Nanda, M. Tretiakova, A.R.
Orrico, D. Dreher, J.P. Palazzo, L. Perreard, E. Nelson, M. Mone, H.
Hansen, M. Mullins, J.F. Quackenbush, O.I. Olopade, P.S. Bernard and
C.M. Perou, BMC Genomics, 7:96, 2006.
Link
Significance and Recovery of Block Structures in Binary Matrices with
Noise, X. Sun and A.B. Nobel, Proceedings of the 19th Annual Conference
on Learning Theory (COLT), H.U. Simon and G. Lugosi eds., Springer,
2006.
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version
Different Gene
Expression-based Predictors for Breast Cancer Patients are Concordant,
C. Fan, D.S. Oh, L. Wessels, B. Weigelt, D.S. Nuyten, A. Nobel, L.J.
van't Veer, and C.M. Perou, The New England Journal of Medicine,
355:560-569,
2006.
Link
Denoising
deterministic time series, S.P. Lalley and A.B. Nobel, Dynamics of Partial
Differential Equations, 3:259-279, 2006.
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version
Gene expression
profiles do not consistently predict the clinical treatment response in
locally advanced breast cancer, T. Sørlie, C.M. Perou, C. Fan,
S. Geisler, T. Aas, A. Nobel, G. Anker, L.A. Akslen, D. Botstein, A-L.
Børresen-Dale, and P.E. Lønning, Molecular Cancer
Therapeutics 5:2914-2918, 2006.
Link
A statistical
framework for testing functional categories in microarray data, W.T.
Barry, A.B. Nobel and F.A. Wright, The Annals of Applied Statistics,
vol. 2, pp.286-315, 2008.
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version
Online prediction algorithms for aggregation of arbitrary estimators of
a conditional mean, F. Bunea and A.B. Nobel, IEEE Transactions on
Information Theory, vol. 54, pp.1725-1735, 2008.
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version
Merging two gene expression studies via cross platform normalization,
A.A. Shabalin, H. Tjelmeland, C. Fan, C.M. Perou and A.B. Nobel,
Bioinformatics, vol. 24, pp.1154-1160, 2008.
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version
On the size and recovery of submatrices of ones in a random binary
matrix, X. Sun and A.B. Nobel, Journal of Machine
Learning Research, vol. 9, pp.2431-2453, 2008.
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version
Statistical
significance of clustering for high-dimension, low-sample size data, Y.
Liu, D.N. Hayes, A.B. Nobel and J.S. Marron, Journal of the American
Statistical Association, vol.103
pp.1281-1293, 2008.
FastMap: Fast eQTL Mapping in homozygous populations, D.M. Gatti, A.A.
Shabalin, T-C. Lam, F.A. Wright, I. Rusyn and A.B. Nobel,
Bioinformatics, vol. 25, pp.482-489, 2008.
Link
Supervised risk predictor of breast cancer based on intrinsic subtypes,
J.S. Parker, M. Mullins, M.C.U. Cheang, S. Leung, D. Voduc, T. Vickery,
S. Davies, C. Fauron, X. He, Z. Hu, J.F. Quackenbush, I.J. Stijleman,
J. Palazzo, J.S. Marron, A.B. Nobel, E. Mardis, T.O. Nielsen, M.J.
Ellis, C.M. Perou, P.S. Bernard, Journal of Clinical Oncology,
JCO.2008.18.1370, 2009.
A
Bayesian model for cross-study differential gene expression, R.B.
Scharpf, H. Tjelmeland, G. Parmigiani and A.B. Nobel, to appear in the
Journal of the American Statistical Association.
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version
Finding large average submatrices in high dimensional data, A.A. Shabalin, V.J. Weigman, C.M. Perou and A.B. Nobel, to appear in the Annals of Applied Statistics, 2009.
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The Set2/Rpd3S Pathway Suppresses Cryptic Transcription without Regard
to Gene Length or Transcription Frequency, C.R. Lickwar, B. Rao,
A.A. Shabalin, A.B. Nobel, B.D. Strahl, J.D. Lieb, PLoS ONE, 4:e4866,
2009.
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version