Publications

2026

1. Testing Mutual Independence in Metric Spaces Using Distance Profiles

   Yaqing Chen, and Paromita Dubey

   The Annals of Statistics (to appear), 2026

2025

1. LLmFPCA-detect: LLM-powered Multivariate Functional PCA for Anomaly Detection in Sparse Longitudinal Texts

   Prasanjit Dubey, Aritra Guha, Zhengyi Zhou, and 3 more authors

   arXiv preprint arXiv:2512.14604, 2025
2. High-Dimensional Sparse Clustering via Iterative Semidefinite Programming Relaxed K-Means

   Jongmin Mun, Paromita Dubey, and Yingying Fan

   arXiv preprint arXiv:2505.20478, 2025
3. DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses

   Kyum Kim, Yaqing Chen, and Paromita Dubey

   arXiv preprint arXiv:2510.17072, 2025
4. Online network change point detection with missing values and temporal dependence

   Haotian Xu, Paromita Dubey, and Yi Yu

   Journal of Time Series Analysis, 2025

2024

1. Metric statistics: Exploration and inference for random objects with distance profiles

   Paromita Dubey, Yaqing Chen, and Hans-Georg Müller

   The Annals of Statistics, 2024

2023

1. Change point detection for random objects using distance profiles

   Paromita Dubey, and Minxing Zheng

   arXiv preprint arXiv:2311.16025, 2023

2022

1. Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States

   Paromita Dubey, Yaqing Chen, Álvaro Gajardo, and 5 more authors

   Journal of Mathematical Analysis and Applications, 2022

   Bib

   @article{dubey2022learning,
     title = {Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States},
     author = {Dubey, Paromita and Chen, Yaqing and Gajardo, Álvaro and Bhattacharjee, Satarupa and Carroll, Cody and Zhou, Yidong and Chen, Han and Müller, Hans-Georg},
     journal = {Journal of Mathematical Analysis and Applications},
     volume = {514},
     number = {2},
     pages = {125677},
     year = {2022},
     publisher = {Elsevier}
   }

2021

1. Modeling time-varying random objects and dynamic networks

   Paromita Dubey, and Hans-Georg Müller

   Journal of the American Statistical Association, 2021

   Bib

   @article{dubey2021modeling,
     title = {Modeling time-varying random objects and dynamic networks},
     author = {Dubey, Paromita and Müller, Hans-Georg},
     journal = {Journal of the American Statistical Association},
     pages = {1--16},
     year = {2021},
     publisher = {Taylor \& Francis}
   }

2. Modeling sparse longitudinal data in early neurodevelopment

   Yaqing Chen, Paromita Dubey, Hans-Georg Müller, and 3 more authors

   NeuroImage, 2021

   Bib

   @article{chen2021modeling,
     title = {Modeling sparse longitudinal data in early neurodevelopment},
     author = {Chen, Yaqing and Dubey, Paromita and Müller, Hans-Georg and Bruchhage, Muriel and Wang, Jane-Ling and Deoni, Sean},
     journal = {NeuroImage},
     volume = {237},
     pages = {118079},
     year = {2021},
     publisher = {Elsevier}
   }

2020

1. Time dynamics of COVID-19

   Cody Carroll, Satarupa Bhattacharjee, Yaqing Chen, and 6 more authors

   Scientific reports, 2020

   Bib

   @article{carroll2020time,
     title = {Time dynamics of COVID-19},
     author = {Carroll, Cody and Bhattacharjee, Satarupa and Chen, Yaqing and Dubey, Paromita and Fan, Jianing and Gajardo, Álvaro and Zhou, Xiner and Müller, Hans-Georg and Wang, Jane-Ling},
     journal = {Scientific reports},
     volume = {10},
     number = {1},
     pages = {1--14},
     year = {2020},
     publisher = {Nature Publishing Group}
   }

2. Fréchet change-point detection

   Paromita Dubey, and Hans-Georg Müller

   The Annals of Statistics, 2020

   Bib

   @article{dubey2020frechet,
     title = {Fr{\'e}chet change-point detection},
     author = {Dubey, Paromita and Müller, Hans-Georg},
     journal = {The Annals of Statistics},
     volume = {48},
     number = {6},
     pages = {3312--3335},
     year = {2020},
     publisher = {Institute of Mathematical Statistics}
   }

3. Functional models for time-varying random objects

   Paromita Dubey, and Hans-Georg Müller

   Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2020

   Bib

   @article{dubey2020functional,
     title = {Functional models for time-varying random objects},
     author = {Dubey, Paromita and Müller, Hans-Georg},
     journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
     volume = {82},
     number = {2},
     pages = {275--327},
     year = {2020},
     publisher = {Wiley Online Library}
   }

2019

1. Fréchet analysis of variance for random objects

   Paromita Dubey, and Hans-Georg Müller

   Biometrika, 2019

   Bib

   @article{dubey2019frechet,
     title = {Fréchet analysis of variance for random objects},
     author = {Dubey, Paromita and Müller, Hans-Georg},
     journal = {Biometrika},
     volume = {106},
     number = {4},
     pages = {803--821},
     year = {2019},
     publisher = {Oxford University Press}
   }

2015

1. Modeling bimodal discrete data using Conway-Maxwell-Poisson mixture models

   Pragya Sur, Galit Shmueli, Smarajit Bose, and 1 more author

   Journal of Business & Economic Statistics, 2015

   Bib

   @article{sur2015modeling,
     title = {Modeling bimodal discrete data using Conway-Maxwell-Poisson mixture models},
     author = {Sur, Pragya and Shmueli, Galit and Bose, Smarajit and Dubey, Paromita},
     journal = {Journal of Business \& Economic Statistics},
     volume = {33},
     number = {3},
     pages = {352--365},
     year = {2015},
     publisher = {Taylor \& Francis}
   }