4 citations · 6 across the 7 of their papers we have counts for
7 papers
Detection of Structural Distortions in Functional Time Series
Debanjana Datta, Rituparna Sen, Nalini Ravishanker
In the era of modern data science, the rapid proliferation of high-dimensional and functional datasets has fostered increasing interest in the investigation of paradigm shifts and…
A Frequentist Approach to Change Point Detection: Methods and Applications
Debanjana Datta
In this paper we study the problem of change point detection in functional time series where the observations are allowed to vary on both sparse and dense support. We address the p…
Measuring Tail Dependence in Linear Processes: Theory and Empirics
Debanjana Datta, Diganta Mukherjee
The quantitative analysis of financial time series often reveals two distinct features that standard Gaussian frameworks fail to capture: heavy-tailed marginal distributions and th…
Scrutinizing Shipment Records To Thwart Illegal Timber Trade
Debanjan Datta, Sathappan Muthiah, John Simeone +2
Timber and forest products made from wood, like furniture, are valuable commodities, and like the global trade of many highly-valued natural resources, face challenges of corruptio…
Framing Algorithmic Recourse for Anomaly Detection
Debanjan Datta, Feng Chen, Naren Ramakrishnan
The problem of algorithmic recourse has been explored for supervised machine learning models, to provide more interpretable, transparent and robust outcomes from decision support s…
Detecting Anomalies Through Contrast in Heterogeneous Data
Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan
Detecting anomalies has been a fundamental approach in detecting potentially fraudulent activities. Tasked with detection of illegal timber trade that threatens ecosystems and econ…
A Small Survey On Event Detection Using Twitter
Debanjan Datta
A small survey on event detection using Twitter. This work first defines the problem statement, and then summarizes and collates the different research works towards solving the pr…