Most of the time series data mining tasks attempt to discover data patterns that appear frequently. Abnormal data is often ignored as noise. There are some data mining techniques based on time series to extract anomaly. However, most of these techniques cannot suit big unstable data existing in...

This note investigates a set of dynamic versions of the level-k (LK) and cognitive hierarchy (CH) models in repeated normal-form games. Conventional LK and CH models assume a reasoning process that does not allow learning. This can be a restrictive assumption: When facing a repeated game,...

Using 2.21 million units of data from the National Bureau of Statistics’ China Industrial Enterprises Database, during 1998-2013, we adopt the static panel model and the dynamic panel model to more accurately examine the impact of changes in corporate income tax rates on employment. The...