Remotely sensed vegetation indices are widely used to detect greening and browning
trends; especially the global coverage of time-series normalized difference vegetation index …

Vegetation forms a main component of the terrestrial biosphere and plays a crucial role in
land‐cover and climate‐related studies. Activity of vegetation systems is commonly …

We consider the problem of minimizing the distance from a given n-dimensional vector to a
set defined by constraints of the form xi≤ x j. Such constraints induce a partial order of the …

Monotonic (isotonic) regression is a powerful tool used for solving a wide range of important
applied problems. One of its features, which poses a limitation on its use in some areas, is …

Suspended sediment load modeling through advanced computational algorithms is of major
importance and a challenging topic for developing highly accurate hydrological models. To …

We introduce new point-wise confidence interval estimates for monotone functions observed
with additive, dependent noise. Our methodology applies to both short-and long-range …

We propose a new framework for the simultaneous inference of monotone smooth time
varying functions under complex temporal dynamics utilizing the monotone rearrangement …

Monotonic regression (MR) is a least distance problem with monotonicity constraints
induced by a partially ordered data set of observations. In our recent publication [In Ser …

There are at least two significant applications of partial order theory in chemistry: Ranking
methods and substances' properties prediction. In both cases, a set of objects is endowed …

Considering the growing pressure on various ecosystems all around the world, the
development of ecological indicators for assessing the health and condition of the …