Sequential statistical structures

A Statistical Method for Sequential Images – Based Process Monitoring

Today, with the growth of technology, monitoring processes by the use of video and satellite sensors have been more expanded, due to their rich and valuable information. Recently, some researchers have used sequential images for image defect detection because a single image is not sufficient for process monitoring. In this paper, by adding the time dimension to the image-based process monitorin...

Sorting and Sequential Structures

This algorithm is appropriately named linear search and has worst-case O(N) time complexity where N is the length of the input array corresponding to checking every element in the array. While linear search takes advantage of the sequential nature of an array (and in general, any sequential data structure), it does not take full advantage of this property. In particular, if the array is ordered...

Statistical Learning and Sequential Prediction

Encoding Sequential Structures using Kernels

Sequential data-types represent a natural model for information in many fields, such as Time-Series Analysis and Computational Biology. Having a very dynamic nature, sequential data still represents a challenge to modern learning methods which struggle to fully integrate the underlying information into their mechanisms. Kernel Methods offer a practical and accessible framework for the integrati...

Reliable sequential testing for statistical model checking

We introduce a framework for comparing statistical model checking (SMC) techniques and propose a new, more reliable, SMC technique. Statistical model checking has recently been implemented in tools like UPPAAL and PRISM to be able to handle models which are too complex for numerical analysis. However, these techniques turn out to have shortcomings, most notably that the validity of their outcom...