← All authors Oscar Hernán Madrid Padilla University of California, Los Angeles (from arXiv:1912.02151, 2019) · ORCID · OpenAlex
23 papers in scope · 23 published · 1 on the econ.EM arXiv · 253 citations · h-index 10 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Sander Barendse Liangjun Su Yiren Wang Kan Yao Shujie Ma Yiren Wang Junlong Feng Chia-Min Wei Martin Weidner Hyungsik Roger Moon Ryan T. Ball Weisheng Zhang Yichong Zhang Jonas Striaukas Éric Ghysels Andrii Babii Andrei Zeleneev Peter C.B. Phillips Christis Katsouris Timothy B. Armstrong 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 Show only papers in our arXiv econ.EM corpus (1 of 23)
Bayesian Transfer Learning for Enhanced Estimation and Inference
published 2026 · Journal of the American Statistical Association · 1 citations
with Daoyuan Lai, Xiang Li, Tian Gu
Multilayer random dot product graphs: estimation and online change point detection
published 2025 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2 citations · first circulated 2023
with Fan Wang, Wan-Shan Li, Yi Yu, Alessandro Rinaldo
Bayesian Variance Change Point Detection With Credible Sets
published 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1 citations · first circulated 2022
with Lorenzo Cappello
Kernel biclustering algorithm in Hilbert spaces
published 2025 · Advances in Data Analysis and Classification · first circulated 2022
with Marcos Matabuena, Juan C. Vidal, Dino Sejdinović, J. C Vidal
Quantile regression by dyadic CART
published 2024 · Electronic Journal of Statistics · first circulated 2021
with Sabyasachi Chatterjee
A note on online change point detection
published 2023 · Sequential Analysis · 26 citations
with Yi Yu, Daren Wang, Alessandro Rinaldo
A partially separable model for dynamic valued networks
published 2023 · Computational Statistics & Data Analysis · 5 citations · first circulated 2022
with Yik Lun Kei, Yanzhen Chen
Bayesian Change Point Detection with Spike-and-Slab Priors
published 2023 · Journal of Computational and Graphical Statistics · 4 citations · first circulated 2021
with Lorenzo Cappello, Julia A. Palacios
published 2023 · The Annals of Statistics · 9 citations · first circulated 2019
2D score-based estimation of heterogeneous treatment effects
published 2023 · Journal of Causal Inference · 2 citations · first circulated 2021
with Steven Siwei Ye, Yanzhen Chen
Feature grouping and sparse principal component analysis with truncated regularization
published 2022 · Stat · 1 citations · first circulated 2021
with Haiyan Jiang, Shanshan Qin
A naturalistic study of brushing patterns using powered toothbrushes
published 2022 · PLoS ONE · 18 citations
with Mahmoud Essalat, Douglas E. Morrison, Sumukh Kak, E. Jun Chang, Isabel Roig Penso, Rachel J. Kulchar, Vivek Shetty
Graphon estimation via nearest‐neighbour algorithm and two‐dimensional fused‐lasso denoising
published 2021 · Canadian Journal of Statistics · 1 citations
with Yanzhen Chen
Optimal Nonparametric Multivariate Change Point Detection and Localization
published 2021 · IEEE Transactions on Information Theory · 35 citations · first circulated 2019
with Yi Yu, Daren Wang, Alessandro Rinaldo
Risk bounds for quantile trend filtering
published 2021 · Biometrika · 1 citations
with Sabyasachi Chatterjee
Optimal post-selection inference for sparse signals: a nonparametric empirical Bayes approach
published 2021 · Biometrika · 11 citations
with Spencer Woody, James G. Scott
Optimal nonparametric change point analysis
published 2021 · Electronic Journal of Statistics · 11 citations
with Yi Yu, Daren Wang, Alessandro Rinaldo
Forecasting Spare Parts Sporadic Demand Using Traditional Methods and Machine Learning - a Comparative Study
published 2020 · SMU Data Science Review · 11 citations
with Bhuvana Adur Kannan, Ganesh Kodi, Dough Gray, Barry C. Smith
no link
Adaptive nonparametric regression with the K-nearest neighbour fused lasso
published 2019 · Biometrika · 22 citations
with James Sharpnack, Yanzhen Chen, Daniela Witten
Sequential Nonparametric Tests for a Change in Distribution: An Application to Detecting Radiological Anomalies
published 2018 · Journal of the American Statistical Association · 25 citations · first circulated 2016
with Alex Athey, Alex Reinhart, James G. Scott
A deconvolution path for mixtures
published 2018 · Electronic Journal of Statistics · 5 citations · first circulated 2015
The DFS fused lasso: linear-time denoising over general graphs
published 2017 · Journal of Machine Learning Research · 33 citations · first circulated 2016
with James Sharpnack, James G. Scott, Ryan J. Tibshirani
Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes
published 2015 · Journal of the American Statistical Association · 29 citations · first circulated 2014
with Mingyuan Zhou, James G. Scott
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