One of the key challenges in changepoint analysis is the ability to detect multiple changes
within a given time series or sequence. The changepoint package has been developed to …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

In this paper, a novel framework is proposed to enable a predictive deployment of
unmanned aerial vehicles (UAVs) as temporary base stations (BSs) to complement ground …

Many time series are characterised by abrupt changes in structure, such as sudden jumps in
level or volatility. We consider change points to be those time points which divide a data set …

Changepoint analysis is used to detect changes in variability within GOMOS hindcast time-
series for significant wave heights of storm peak events across the Gulf of Mexico for the …

In this paper, we investigate the relationship between industrial production and sectoral
credit defaults (non-performing loans ratio) cycle by wavelet network analysis in Turkey over …

Traffic information collection is an important foundation for intelligent transportation systems.
In this paper, 3D Light Detection And Ranging (LiDAR) is deployed in the roadside of urban …

The intermittent plasticity of pure Mo microcrystals with diameters from 500 to 3500 nm was
studied using micro-pillar compression methodology at temperatures ranging from 25° C to …

This article reports the results of an experimental investigation into listeners' evaluative
reactions towards the nurse~ square merger in the north-west of England, in an attempt to …

Evaluative reactions to language stimuli are presumably dynamic events, constantly
changing through time as the signal unfolds, yet the tools we usually use to capture these …