Stationary Random Walks and Isotonic Regression

The study of stationary processes is an important
topic both in the probability and statistics
literatures. This monograph continues the
investigation along the classical lines, but with a
modern viewpoint. For example, to study the behavior
of the partial sums, it features the interplay
between ergodic theory and probability from an
operator-theoretical point of view. As a
consequence, the results tend to be much more
refined, and nearly optimal on many occasions. With
the tools developed to understand the probabilistic
behavior of the processes, one statistical
application is considered in the context of global
warming. The goal is to nonparametrically estimate
the trend of a time series under monotonicity
assumptions. Some interesting features in time
series analysis are carefully explored.

Autorentext

Ou Zhao received his B.S. in mathematics from Nankai University,
and Ph.D. in statistics from the University of Michigan. He is
currently a postdoctoral associate at Yale University. Michael
Woodroofe received his B.S. in mathematics from Stanford
University, and Ph.D. in mathematics from the University of
Oregon.

Klappentext

The study of stationary processes is an important
topic both in the probability and statistics
literatures. This monograph continues the
investigation along the classical lines, but with a
modern viewpoint. For example, to study the behavior
of the partial sums, it features the interplay
between ergodic theory and probability from an
operator-theoretical point of view. As a
consequence, the results tend to be much more
refined, and nearly optimal on many occasions. With
the tools developed to understand the probabilistic
behavior of the processes, one statistical
application is considered in the context of global
warming. The goal is to nonparametrically estimate
the trend of a time series under monotonicity
assumptions. Some interesting features in time
series analysis are carefully explored.