Information Bounds and Nonparametric Maximum Likelihood Estimation (Piet Groeneboom and Jon A. Wellner). - Peter J. Bickel (SIAM Rev., 1994)

Estimating linear functionals of a PET image. - Peter J. Bickel; Yaacov Ritov (IEEE Trans. Medical Imaging, 1995)

The Earth Mover's Distance is the Mallows Distance: Some Insights from Statistics. - Elizaveta Levina; Peter J. Bickel (ICCV, 2001)

Robustness of Prewhitening Against Heavy-Tailed Sources. - Aiyou Chen; Peter J. Bickel (ICA, 2004)

Maximum Likelihood Estimation of Intrinsic Dimension. - Elizaveta Levina; Peter J. Bickel (NIPS, 2004)

An approximate likelihood approach to nonlinear mixed effects models via spline approximation. - Zhiyu Ge; Peter J. Bickel; John A. Rice (Comput. Stat. Data Anal., 2004)

Consistent independent component analysis and prewhitening. - Aiyou Chen; Peter J. Bickel (IEEE Trans. Signal Process., 2005)

Some Theory for Generalized Boosting Algorithms. - Peter J. Bickel; Yaacov Ritov; Alon Zakai (J. Mach. Learn. Res., 2006)

Statistics for sparse, high-dimensional, and nonparametric system identification. - Anil Aswani; Peter J. Bickel; Claire J. Tomlin (ICRA, 2009)

Nonparametric identification of regulatory interactions from spatial and temporal gene expression data. - Anil Aswani; Soile V. E. Keränen; James Brown; Charless C. Fowlkes; David W. Knowles; Mark D. Biggin; Peter J. Bickel; Claire J. Tomlin (BMC Bioinform., 2010)

Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels - Peter J. Bickel; David Choi; Xiangyu Chang; Hai Zhang 001 (CoRR, 2012)

Fitting community models to large sparse networks - Aiyou Chen; Arash A. Amini; Peter J. Bickel; Elizaveta Levina (CoRR, 2012)

Hypothesis Testing for Automated Community Detection in Networks. - Peter J. Bickel; Purnamrita Sarkar (CoRR, 2013)

Community Detection in Networks using Graph Distance. - Sharmodeep Bhattacharyya; Peter J. Bickel (CoRR, 2014)

Comparative analysis of regulatory information and circuits across distant species Open. - Alan P. Boyle; Carlos L. Araya; Cathleen Brdlik; Philip Cayting; Chao Cheng; Yong Cheng; Kathryn Gardner; LaDeana W. Hillier; Judith Janette; Lixia Jiang; Dionna Kasper; Trupti Kawli; et al. (Nat., 2014)

The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels. - Purnamrita Sarkar; Deepayan Chakrabarti; Peter J. Bickel (NIPS, 2015)

Spectral Clustering and Block Models: A Review And A New Algorithm. - Sharmodeep Bhattacharyya; Peter J. Bickel (CoRR, 2015)

Sparse Canonical Correlation Analysis via Concave Minimization. - Omid S. Solari; James B. Brown; Peter J. Bickel (CoRR, 2019)

Comment: Ridge Regression and Regularization of Large Matrices. - Can M. Le; Keith D. Levin; Peter J. Bickel; Elizaveta Levina (Technometrics, 2020)

Learning from learning machines: a new generation of AI technology to meet the needs of science. - 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; et al. (CoRR, 2021)

Nonparametric Evaluation of Noisy ICA Solutions. - Syamantak Kumar; Derek Bean; Peter J. Bickel; Purnamrita Sarkar (NeurIPS, 2024)

Keep or toss? A nonparametric score to evaluate solutions for noisy ICA. - Syamantak Kumar; Purnamrita Sarkar; Peter J. Bickel; Derek Bean (CoRR, 2024)