← All authors Jacob Bien Maastricht University (from arXiv:2101.12503, 2021) · OpenAlex
29 papers in scope · 28 published · 1 on the econ.EM arXiv · 1,524 citations · h-index 15 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Marie Corillon Stephan Smeekes Ines Wilms Francesco Audrino Jonathan Chassot Alain Hecq Marie Ternes Jonas Striaukas Éric Ghysels Luca Margaritella Andrii Babii Eduardo Mendes Anna E. C. Simoni Etiënne Wijler Marcelo C. Medeiros Marina Friedrich Ricardo Masini Matteo Mogliani Jean-Pierre Urbain Jesper Sørensen Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 29)
Inference on the Proportion of Variance Explained in Principal Component Analysis
published 2025 · Journal of the American Statistical Association · 2 citations
with Ronan Perry, Snigdha Panigrahi, Daniela Witten
Discussion of “Data Fission: Splitting a Single Data Point”
published 2025 · Journal of the American Statistical Association · 6 citations · first circulated 2024
with Anna Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela Witten
Prediction sets for high-dimensional mixture of experts models
published 2024 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2 citations · first circulated 2022
with Adel Javanmard, Simeng Shao
Controlling the False Split Rate in Tree-Based Aggregation
published 2024 · Journal of the American Statistical Association · first circulated 2021
with Simeng Shao, Adel Javanmard
Generalized Data Thinning Using Sufficient Statistics
published 2024 · Journal of the American Statistical Association · 16 citations · first circulated 2023
with Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten
Inferring Independent Sets of Gaussian Variables after Thresholding Correlations
published 2024 · Journal of the American Statistical Association · 2 citations · first circulated 2022
with Arkajyoti Saha, Daniela Witten
Selective Inference for Hierarchical Clustering
published 2022 · Journal of the American Statistical Association · 99 citations · first circulated 2020
with Lucy L. Gao, Daniela Witten
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States
published 2022 · International Journal of Forecasting · 71 citations
with Evan L Ray, Logan Brooks, Matthew Biggerstaff, Nikos I Bosse, Johannes Bracher, Estee Y. Cramer, Sebastian Funk, Aaron Gerding, Michael A. Johansson, Aaron Rumack, Yijin Wang, Martha Zorn, …
Interactive Exploration of Large Dendrograms with Prototypes
published 2022 · The American Statistician · 2 citations
with Andee Kaplan
Controlling costs: Feature selection on a budget
published 2021 · Stat · 6 citations · first circulated 2019
with Guo Yu, Daniela Witten
Tree-aggregated predictive modeling of microbiome data
published 2021 · Scientific Reports · 33 citations · first circulated 2020
with Xiaohan Yan, Léo Simpson, Christian L. Müller, Christian Müller
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving Averages
published 2021 · Journal of the American Statistical Association · 9 citations · first circulated 2017
Testing for association in multiview network data
published 2021 · Biometrics · 6 citations
with Lucy L. Gao, Daniela Witten
working paper 2021 · arXiv · 4 citations
Rare Feature Selection in High Dimensions
published 2020 · Journal of the American Statistical Association · 45 citations · first circulated 2018
with Xiaohan Yan
Valid Inference Corrected for Outlier Removal
published 2019 · Journal of Computational and Graphical Statistics · 40 citations · first circulated 2017
with Shuxiao Chen
Estimating the error variance in a high-dimensional linear model
published 2019 · Biometrika · 27 citations
with Guo Yu
Are clusterings of multiple data views independent?
published 2019 · Biostatistics · 1 citations
with Lucy L. Gao, Daniela Witten
Prediction error bounds for linear regression with the TREX
published 2018 · Test · 4 citations
Graph-Guided Banding of the Covariance Matrix
published 2018 · Journal of the American Statistical Association
rTensor : An R Package for Multidimensional Array (Tensor) Unfolding, Multiplication, and Decomposition
published 2018 · Journal of Statistical Software · 37 citations
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations
published 2017 · Statistical Science · 43 citations
with Xiaohan Yan
VARX-L: Structured regularization for large vector autoregressions with exogenous variables
published 2017 · International Journal of Forecasting · 34 citations · first circulated 2015
Learning local dependence in ordered data
published 2017 · Journal of Machine Learning Research · 16 citations · first circulated 2016
with Guo Yu
Sparse Partially Linear Additive Models
published 2015 · Journal of Computational and Graphical Statistics · 54 citations · first circulated 2014
Convex Banding of the Covariance Matrix
published 2015 · Journal of the American Statistical Association · 44 citations · first circulated 2014
with Florentina Bunea, Luo Xiao
Discussion of “Correlated variables in regression: Clustering and sparse estimation”
published 2013 · Journal of Statistical Planning and Inference · 13 citations
with Marten Wegkamp
Strong Rules for Discarding Predictors in Lasso-Type Problems
published 2011 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 706 citations · first circulated 2010
with Robert Tibshirani, Jerome H. Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor, Ryan J. Tibshirani
Hierarchical Clustering With Prototypes via Minimax Linkage
published 2011 · Journal of the American Statistical Association · 202 citations
with Robert Tibshirani
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