Research
Research
† : co-first authors.
* : corresponding author.
Kim, D., Choi, C.* and Park, B. U. (2026). Simultaneous inference for additive regression.
Jang, Y., Choi, C.* and Park, B. U. (2026). Distributed smooth backfitting for additive regression.
Choi, C.†, Jeon, J. M.† and Park, B. U. (2026). Discussion of "Deep Fréchet Regression".
Choi, C., Park, B. U., and Cheng, M.-Y. (2026). Partially linear models and inference with Euclidean covariates and regressors on unknown manifolds.
Lee, K., Park, B. U., and Choi, C.* (2026). Broken Adaptive Ridge Regression for high-dimensional functional linear models.
Choi, C., Mammen, E. and Park, B. U. (2025). Additive Hilbert manifold score regression in high-dimension with local polynomial smoothing.
Choi, C.†, Song, W.†, Müller, H.-G., and Park, B. U. (2027). Additive Fréchet regression for random objects.
The Annals of Statistics. Accepted. [Link]
Choi, C. (2026). High-dimensional convolution-smoothed quantile linear models for Hilbert manifold covariates.
Electronic Journal of Statistics. 20(1), 1943-2008. [Link][Code]
Choi, C. and Park, B. U. (2025). High-dimensional Hilbert-Schmidt Linear regression with Hilbert manifold variables.
The Annals of Statistics. 53(6), 2673-2701. [Link][Code]
Choi, C. and Park, B. U. (2025). High-dimensional generalized linear models for Hilbert manifold covariates.
Electronic Journal of Statistics. 19(2), 3979-4053. [Link][Code]
Choi, C., Lin, Z. and Park, B. U. (2025). High-dimensional partially linear additive models on Riemannian manifolds.
Bernoulli. 31(4): 3285-3308. [Link]