Anindya Roy | DeepAI

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Featured Co-authors

Arkaprava Roy
16 publications
Junyong Park
9 publications
Johan Lim
9 publications
Nilabja Guha
5 publications
Deepak Nag Ayyala
4 publications
Tucker S. McElroy
4 publications
Tucker McElroy
3 publications
Seonghun Cho
3 publications
Neha Agarwala
2 publications
Gaurab Hore
1 publication

∙ 02/03/2023

Characterization and estimation of high dimensional sparse regression parameters under linear inequality constraints

Modern statistical problems often involve such linear inequality constra...

0 Neha Agarwala, et al. ∙

∙ 07/15/2022

FLIP: A Utility Preserving Privacy Mechanism for Time Series

Guaranteeing privacy in released data is an important goal for data-prod...

0 Tucker McElroy, et al. ∙

∙ 05/03/2021

Efficient Integration of Aggregate Data and Individual Patient Data in One-Way Mixed Models

Often both Aggregate Data (AD) studies and Individual Patient Data (IPD)...

0 Neha Agarwala, et al. ∙

∙ 04/06/2021

Constrained Parameterization of Reduced Rank and Co-integrated Vector Autoregression

The paper provides a parametrization of Vector Autoregression (VAR) that...

0 Anindya Roy, et al. ∙

∙ 06/26/2020

Stochastic Approximation Algorithm for Estimating Mixing Distribution for Dependent Observations

Estimating the mixing density of a mixture distribution remains an inter...

0 Nilabja Guha, et al. ∙

∙ 04/19/2019

Note on Mean Vector Testing for High-Dimensional Dependent Observations

For the mean vector test in high dimension, Ayyala et al.(2017,153:136-1...

0 Seonghun Cho, et al. ∙

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