1 citations · 1 across the 2 of their papers we have counts for
3 papers
eess.SP2019
Supplementary Notes: Segment Parameter Labelling in MCMC Change Detection
Alireza Ahrabian
This work addresses the problem of segmentation in time series data with respect to a statistical parameter of interest in Bayesian models. It is common to assume that the paramete…
cs.LG2017
Segment Parameter Labelling in MCMC Mean-Shift Change Detection
Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong-Took +1
This work addresses the problem of segmentation in time series data with respect to a statistical parameter of interest in Bayesian models. It is common to assume that the paramete…
eess.SY2017★ 1 cited
Detecting Changes in Time Series Data using Volatility Filters
Alireza Ahrabian, Nazli Farajidavar, Clive Cheong-Took +1
This work develops techniques for the sequential detection and location estimation of transient changes in the volatility (standard deviation) of time series data. In particular, w…