An overview of statistical and information-theoretic aspects of hidden Markov processes
(HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain …

Image deblurring is an important topic in imaging science. In this review, we consider
together fluorescence microscopy and optical/infrared astronomy because of two common …

Social networking websites allow users to create and share content. Big information
cascades of post resharing can form as users of these sites reshare others' posts with their …

Event sequence, asynchronously generated with random timestamp, is ubiquitous among
applications. The precise and arbitrary timestamp can carry important clues about the …

Figure 1.1 provides a prototype for the type of data that we shall consider. It shows the
heights of 10 girls measured at a set of 31 ages in the Berkeley Growth Study (Tuddenham …

An extensive update to a classic text Stochastic geometry and spatial statistics play a
fundamental role in many modern branches of physics, materials sciences, engineering …

The theoretically optimal approach to multisensor-multitarget detection, tracking, and
identification is a suitable generalization of the recursive Bayes nonlinear filter. Even in …

Research in the statistical analysis of extreme values has flourished over the past decade:
new probability models, inference and data analysis techniques have been introduced; and …

This paper proposes a new statistical model for the analysis of data which arrive at irregular
intervals. The model treats the time between events as a stochastic process and proposes a …

We describe a hardware and software system for digitizing the shape and color of large
fragile objects under non-laboratory conditions. Our system employs laser triangulation …