MoneyScience News |
Posted: 03 May 2015 05:37 PM PDT A new method is proposed to compute connectivity measures on multivariate time series with gaps. Rather than removing or filling the gaps, the rows of the joint data matrix containing empty entries are removed and the calculations are done on the remainder matrix. The method, called measure adapted gap removal (MAGR), can be applied to any connectivity measure that uses a joint data matrix, such... Visit MoneyScience for the Complete Article. |
Former Goldman Sachs programmer convicted of stealing code in second trial Posted: 03 May 2015 07:54 AM PDT |
You are subscribed to email updates from The Complete MoneyScience Reloaded To stop receiving these emails, you may unsubscribe now. | Email delivery powered by Google |
Google Inc., 1600 Amphitheatre Parkway, Mountain View, CA 94043, United States |