Change point analysis is a statistical tool to identify homogeneity within time series data. We propose a pruning approach for approximate nonparametric estimation of multiple change points. This ...

Change detection by comparing two bitemporal images is one of the most challenging tasks in remote sensing. At present, most related studies focus on change area detection while neglecting multiple ...

The Phoenix Suns are officially in their rebuild era. Ahead of Thursday night's second round of the NBA draft, the Suns made multiple trades to move up in the draft order.

So far, the parliamentarian has determined that dozens of provisions do not pass muster to be included.

Jumping the S-curve requires leaders who take the long view, reimagine their firms, and make the strategic bets that lead to long-term, sustainable growth.

Co-expressing pattern of multiple biomakers and dynamic change of Claudin18.2 expression after systemic chemotherapy in advanced gastric cancer.. If you have the appropriate software installed, you ...

Adapting to change often requires letting go of the old to make room for the new. This could mean abandoning habits, routines or systems that no longer serve us.

What if you’ve already seen fragments of the future - without realizing it? In this thought experiment grounded in Einstein’s relativity, we unpack how a simple diagram changes our entire ...

Temperature-induced alterations in phenology and body size are the cumulative outcome of sequential effects impacting development and are universal responses to climate change. Most studies have so ...

Korkas, K. and Fryzlewicz, P. (2017) Multiple Change-Point Detection for Non-Stationary Time Series Using Wild Binary Segmentation. Statistica Sinica, 27, 287-311.

Multiple sclerosis (MS) treatment could be on the brink of a significant breakthrough thanks to innovative research by Immunic Therapeutics.