Due to its computational complexity, graph cuts for cluster detection an...
Hidden Markov models (HMMs) are characterized by an unobservable (hidden...
We consider statistical linear inverse problems in separable Hilbert spa...
We present a unifying view on various statistical estimation techniques
...
Many modern statistically efficient methods come with tremendous
computa...
As a classical and ever reviving topic, change point detection is often
...
In this discussion, we compare the choice of seeded intervals and that o...
In recent years, there has been an increasing demand on efficient algori...
Despite the popularity and practical success of total variation (TV)
reg...
Change-point problems have appeared in a great many applications for exa...
Recovering a function or high-dimensional parameter vector from indirect...