Chinmoy Bhattacharjee

Research

My research has three connected strands. A full list of my papers is also on Google Scholar and ORCID.

Distributional approximation and Stein’s method. Gaussian and non-Gaussian limit theorems, often with explicit rates of convergence, including Gaussian approximation for region-stabilizing functionals of point processes with long-range interactions [5], [6], [7], [14], Dickman approximation for weighted sums [2], [8], [15], Poisson process convergence [3], [4] and strong embeddings via Stein’s method [1].

Superconcentration, chaos and noise sensitivity. Variance bounds beyond the Poincaré inequality for Poisson functionals and their sensitivity to small perturbations of the underlying point process: superconcentration and chaos [11], and noise sensitivity in continuum percolation [13].

Applications to nonparametric and causal inference. Multivariate Gaussian approximation for random forest predictions [12], and Gaussian and bootstrap approximation for matching-based estimators of average treatment effects [9].

Preprints

  1. [15]
    Dickman approximation of randomly weighted sums via Stein’s method arXiv:2606.27875Slides (Oxford 2026)
  2. [14]
    Gaussian approximation for extreme points in Laguerre tessellations with Anna Gusakova arXiv:2510.21665Slides (Dubrovnik 2025)
  3. [13]
    Spectra of Poisson functionals and applications to continuum percolation with Giovanni Peccati and D. Yogeshwaran arXiv:2407.13502Slides (Oxford 2024)
  4. [12]
    Multivariate Gaussian approximation for random forest via region-based stabilization with Krishnakumar Balasubramanian, Wolfgang Polonik and Zhaoyang Shi arXiv:2403.09960
  5. [11]
    Chaos and superconcentration for Poisson functionals with applications in stochastic geometry with Rowan O’Clarey arXiv:2603.23053

Publications

  1. [10]
    Perimeter length of the convex hull of Brownian motion in the hyperbolic plane with Rik Versendaal and Andrew Wade Journal of Applied Probability (2026) arXiv:2502.15340Journal
  2. [9]
    Gaussian and bootstrap approximation for matching-based average treatment effect estimators with Krishnakumar Balasubramanian, Wolfgang Polonik and Zhaoyang Shi Annals of Statistics 54(4), 2164–2190 (2026) arXiv:2412.17181JournalSlides (Lugano 2026)
  3. [8]
    Dickman approximation of weighted sums of independent random variables in the Kolmogorov distance with Matthias Schulte Annals of Applied Probability 35(5), 3271–3309 (2025) arXiv:2211.10171JournalRelated talk (Oxford 2026)
  4. [7]
    Central limit theorem for a birth–growth model with Poisson arrivals and random growth speed with Ilya Molchanov and Riccardo Turin Advances in Applied Probability 56(3), 1004–1032 (2024) arXiv:2107.06792JournalRelated talk (Singapore 2022)Video
  5. [6]
    Gaussian approximation for sums of region-stabilizing scores with Ilya Molchanov Electronic Journal of Probability 27, paper no. 111 (2022) arXiv:2101.05103JournalRelated talk (Singapore 2022)Video
  6. [5]
    Gaussian approximation for rooted edges in a random minimal directed spanning tree Random Structures & Algorithms 61(3), 462–492 (2022) arXiv:2105.00320JournalRelated talk (Singapore 2022)Video
  7. [4]
    Large degrees in scale-free inhomogeneous random graphs with Matthias Schulte Annals of Applied Probability 32(1), 696–720 (2022) arXiv:1910.01627JournalSlides (Sheffield 2023)
  8. [3]
    Convergence to scale-invariant Poisson processes and applications in Dickman approximation with Ilya Molchanov Electronic Journal of Probability 25, paper no. 79 (2020) arXiv:1911.06229JournalSlides (Sandbjerg 2019)
  9. [2]
    Dickman approximation in simulation, summations and perpetuities with Larry Goldstein Bernoulli 25(4A), 2758–2792 (2019) arXiv:1706.08192JournalSlides (Bern 2019)
  10. [1]
    On strong embeddings by Stein’s method with Larry Goldstein Electronic Journal of Probability 21, paper no. 15 (2016) arXiv:1505.03199JournalSlides (Los Angeles 2016)

Thesis

  1. [0]
    Stein’s method and its applications in strong embeddings and Dickman approximations PhD thesis, University of Southern California (2018). Advisor: Larry Goldstein. ProQuest

Slides from selected talks