no code implementations • 27 Jan 2024 • Enmao Diao, Taposh Banerjee, Vahid Tarokh
We analyze the performance of this score-based hypothesis testing procedure and derive upper bounds on the probabilities of its Type I and II errors.
no code implementations • 22 Apr 2023 • Wuxia Chen, Taposh Banerjee, Jemin George, Carl Busart
The proposed algorithm exploits a fundamental reward-detection trade-off present in these problems and uses a quickest change detection algorithm to detect the model change.
no code implementations • 4 Mar 2023 • Tim Brucks, Taposh Banerjee, Rahul Mishra
This change in distribution could be due to an event or a sudden arrival of an enemy object.
no code implementations • 1 Feb 2023 • Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh
This paper develops a new variant of the classical Cumulative Sum (CUSUM) algorithm for the quickest change detection.
no code implementations • 8 Nov 2019 • Marko Angjelichinoski, John Choi, Taposh Banerjee, Bijan Pesaran, Vahid Tarokh
We propose an efficient data-driven estimation approach for linear transfer functions that uses the first and second order moments of the class-conditional distributions.
no code implementations • 29 Jan 2019 • Marko Angjelichinoski, Taposh Banerjee, John Choi, Bijan Pesaran, Vahid Tarokh
We consider the problem of predicting eye movement goals from local field potentials (LFP) recorded through a multielectrode array in the macaque prefrontal cortex.
no code implementations • 26 Feb 2017 • Rahul Singh, Taposh Banerjee
We consider the problem of designing an allocation rule or an "online learning algorithm" for a class of bandit problems in which the set of control actions available at each time $s$ is a convex, compact subset of $\mathbb{R}^d$.
1 code implementation • 19 Oct 2012 • Venugopal V. Veeravalli, Taposh Banerjee
The problem of detecting changes in the statistical properties of a stochastic system and time series arises in various branches of science and engineering.
Statistics Theory Information Theory Information Theory Optimization and Control Probability Applications Statistics Theory