Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kotekal, Subhodh"'
We consider testing the goodness-of-fit of a distribution against alternatives separated in sup norm. We study the twin settings of Poisson-generated count data with a large number of categories and high-dimensional multinomials. In previous studies
Externí odkaz:
http://arxiv.org/abs/2409.08871
The recent, impressive advances in algorithmic generation of high-fidelity image, audio, and video are largely due to great successes in score-based diffusion models. A key implementing step is score matching, that is, the estimation of the score fun
Externí odkaz:
http://arxiv.org/abs/2409.07032
Autor:
Kotekal, Subhodh, Gao, Chao
The advent of large-scale inference has spurred reexamination of conventional statistical thinking. In a Gaussian model for $n$ many $z$-scores with at most $k < \frac{n}{2}$ nonnulls, Efron suggests estimating the location and scale parameters of th
Externí odkaz:
http://arxiv.org/abs/2401.06350
Autor:
Kotekal, Subhodh, Gao, Chao
We study estimation of an $s$-sparse signal in the $p$-dimensional Gaussian sequence model with equicorrelated observations and derive the minimax rate. A new phenomenon emerges from correlation, namely the rate scales with respect to $p-2s$ and exhi
Externí odkaz:
http://arxiv.org/abs/2312.09356
Autor:
Kotekal, Subhodh, Kundu, Soumyabrata
Heteroskedasticity testing in nonparametric regression is a classic statistical problem with important practical applications, yet fundamental limits are unknown. Adopting a minimax perspective, this article considers the testing problem in the conte
Externí odkaz:
http://arxiv.org/abs/2310.12424
Autor:
Kotekal, Subhodh, Gao, Chao
Sparse additive models are an attractive choice in circumstances calling for modelling flexibility in the face of high dimensionality. We study the signal detection problem and establish the minimax separation rate for the detection of a sparse addit
Externí odkaz:
http://arxiv.org/abs/2304.09398
Autor:
Kotekal, Subhodh, Gao, Chao
We fully characterize the nonasymptotic minimax separation rate for sparse signal detection in the Gaussian sequence model with $p$ equicorrelated observations, generalizing a result of Collier, Comminges, and Tsybakov. As a consequence of the rate c
Externí odkaz:
http://arxiv.org/abs/2110.12966
Autor:
Kotekal, Subhodh
We consider the problem of detecting a general sparse mixture and obtain an explicit characterization of the phase transition under some conditions, generalizing the univariate results of Cai and Wu. Additionally, we provide a sufficient condition fo
Externí odkaz:
http://arxiv.org/abs/2104.02507
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Kotekal, Subhodh1 (AUTHOR), MacLean, Jason N.1,2,3 (AUTHOR) jmaclean@uchicago.edu
Publikováno v:
PLoS Computational Biology. 1/30/2020, Vol. 16 Issue 1, p1-25. 25p. 7 Graphs.