Publications of A.B. Nobel

(being updated)


 

 

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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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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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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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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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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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.

 

 

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,

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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.

 

 

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.

 

 

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, to appear.