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stat.ML2019
Clustering piecewise stationary processes
Azadeh Khaleghi, Daniil Ryabko
The problem of time-series clustering is considered in the case where each data-point is a sample generated by a piecewise stationary ergodic process. Stationary processes are perh…
stat.ML2013
A consistent clustering-based approach to estimating the number of change-points in highly dependent time-series
Azaden Khaleghi, Daniil Ryabko
The problem of change-point estimation is considered under a general framework where the data are generated by unknown stationary ergodic process distributions. In this context, th…
stat.ML2012★ 3 cited
Multiple Change Point Estimation in Stationary Ergodic Time Series
Azadeh Khaleghi, Daniil Ryabko
Given a heterogeneous time-series sample, the objective is to find points in time (called change points) where the probability distribution generating the data has changed. The dat…