68 citations · 128 across the 4 of their papers we have counts for
4 papers
Low Latency Anomaly Detection and Bayesian Network Prediction of Anomaly Likelihood
Derek Farren, Thai Pham, Marco Alban-Hidalgo
We develop a supervised machine learning model that detects anomalies in systems in real time. Our model processes unbounded streams of data into time series which then form the ba…
Anomaly Detection in the Bitcoin System - A Network Perspective
Thai Pham, Steven Lee
The problem of anomaly detection has been studied for a long time, and many Network Analysis techniques have been proposed as solutions. Although some results appear to be quite pr…
Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
Thai Pham, Steven Lee
The problem of anomaly detection has been studied for a long time. In short, anomalies are abnormal or unlikely things. In financial networks, thieves and illegal activities are of…
The Instrumental Variable Method for Estimating Local Average Treatment Regime Effects
Thai Pham, Weixin Chen
We propose the instrumental variable regime (IVR) method to estimate the causal effects of multiple sequential treatments. This method serves to address the problem of endogenous s…