Data mining has been used intensively and extensively by many organizations. In healthcare, data mining is becoming increasingly popular, if not increasingly essential. Data mining applications can greatly benefit all parties involved in the healthcare industry. For example, data mining can help healthcare insurers detect fraud and abuse, healthcare organizations make customer relationship mana...

Inexperienced helmsmen often oversteer because of the lag that occurs between changing the rudder angle and a change in the vessel’s heading. Predictive displays are a common way of mitigating the effect of lag on human control. Accordingly we developed a predictive display to show the position and heading of a vessel a short time in the future. With this display, the helmsman’s task becomes th...

Suppose we are given a random vector Y consisting of n observations with joint density fn(· ; θ) depending on a p-dimensional parameter θ. We write `n(θ) for the log likelihood, `n(θ) = log fn(Y ; θ) where Y are the actual observations. The most familiar case is when Y consists of independent observations Y1, ..., Yn with common density f0(· ; θ); henceforth, this is called the i.i.d. case. In ...

In today's economic climate where budget reductions are common, executives are under pressure to deliver profitable growth. Business leaders must identify and implement the critical items that will enable the enterprise to remain competitive. Methods and techniques long utilized in the actuarial department are being leveraged to improve many areas of the insurance operation. Will these methods ...

Predictive policing refers to the use of analytical techniques by law enforcement to make statistical predictions about potential criminal activity.2 Predictive policing can involve either predicting events (i.e., forecasting when and where crimes are likely to occur) or people (i.e., individuals likely to be victims or perpetrators of crimes). Instead of relying on an officer’s ‘hunch’ about a...

Observations on the past provide some hints about what will happen in the future, and this can be quantified using information theory. The “predictive information” defined in this way has connections to measures of complexity that have been proposed both in the study of dynamical systems and in mathematical statistics. In particular, the predictive information diverges when the observed data st...