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Peter J. Bickel
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2020 – today
- 2024
- [i8]Syamantak Kumar, Purnamrita Sarkar, Peter J. Bickel, Derek Bean:
Keep or toss? A nonparametric score to evaluate solutions for noisy ICA. CoRR abs/2401.08468 (2024) - 2021
- [i7]Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert
, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown:
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR abs/2111.13786 (2021) - 2020
- [j8]Can M. Le, Keith D. Levin, Peter J. Bickel, Elizaveta Levina:
Comment: Ridge Regression and Regularization of Large Matrices. Technometrics 62(4): 443-446 (2020)
2010 – 2019
- 2019
- [i6]Omid S. Solari, James B. Brown, Peter J. Bickel:
Sparse Canonical Correlation Analysis via Concave Minimization. CoRR abs/1909.07947 (2019) - 2015
- [c5]Purnamrita Sarkar, Deepayan Chakrabarti, Peter J. Bickel:
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels. NIPS 2015: 3016-3024 - [i5]Sharmodeep Bhattacharyya, Peter J. Bickel:
Spectral Clustering and Block Models: A Review And A New Algorithm. CoRR abs/1508.01819 (2015) - 2014
- [j7]Alan P. Boyle
Comparative analysis of regulatory information and circuits across distant species Open. Nat. 512(7515): 453-456 (2014) - [i4]Sharmodeep Bhattacharyya, Peter J. Bickel:
Community Detection in Networks using Graph Distance. CoRR abs/1401.3915 (2014) - 2013
- [i3]Peter J. Bickel, Purnamrita Sarkar:
Hypothesis Testing for Automated Community Detection in Networks. CoRR abs/1311.2694 (2013) - 2012
- [i2]Peter J. Bickel, David Choi, Xiangyu Chang, Hai Zhang:
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels. CoRR abs/1207.0865 (2012) - [i1]Aiyou Chen, Arash A. Amini, Peter J. Bickel, Elizaveta Levina:
Fitting community models to large sparse networks. CoRR abs/1207.2340 (2012) - 2010
- [j6]Anil Aswani
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data. BMC Bioinform. 11: 413 (2010)
2000 – 2009
- 2009
- [c4]Anil Aswani
Statistics for sparse, high-dimensional, and nonparametric system identification. ICRA 2009: 2133-2138 - 2006
- [j5]Peter J. Bickel, Yaacov Ritov, Alon Zakai:
Some Theory for Generalized Boosting Algorithms. J. Mach. Learn. Res. 7: 705-732 (2006) - 2005
- [j4]Aiyou Chen, Peter J. Bickel:
Consistent independent component analysis and prewhitening. IEEE Trans. Signal Process. 53(10): 3625-3632 (2005) - 2004
- [j3]Zhiyu Ge, Peter J. Bickel, John A. Rice:
An approximate likelihood approach to nonlinear mixed effects models via spline approximation. Comput. Stat. Data Anal. 46(4): 747-776 (2004) - [c3]Aiyou Chen, Peter J. Bickel:
Robustness of Prewhitening Against Heavy-Tailed Sources. ICA 2004: 225-232 - [c2]Elizaveta Levina, Peter J. Bickel:
Maximum Likelihood Estimation of Intrinsic Dimension. NIPS 2004: 777-784 - 2001
- [c1]Elizaveta Levina, Peter J. Bickel:
The Earth Mover's Distance is the Mallows Distance: Some Insights from Statistics. ICCV 2001: 251-256
1990 – 1999
- 1995
- [j2]Peter J. Bickel, Yaacov Ritov:
Estimating linear functionals of a PET image. IEEE Trans. Medical Imaging 14(1): 81-87 (1995) - 1994
- [j1]Peter J. Bickel:
Information Bounds and Nonparametric Maximum Likelihood Estimation (Piet Groeneboom and Jon A. Wellner). SIAM Rev. 36(3): 503-504 (1994)
Coauthor Index
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