… , I have also included sections that approach sampling from a model-based perspective, with
the goal of placing sampling methods within the framework used in other areas of statistics. …

… Here we introduce the irst sampling method for SGMs, called annealed Langevin dynamics
(ALD) [223]. Let be the number of iterations per time step and > 0 be the step size. We …

… Finally, we briefly introduce and analyze several typical applications to reveal the significance
of multimodal image matching and provide insightful discussions and conclusions to these …

… /or mathematical expertise in these methods. The students for … applications of these advanced
methods in order to interpret the results of research studies that have utilized such methods…

… categorize the applications and divide the applications into … major applications and their
corresponding methods for each … and then some sampling methods should be considered. …

… methods has spearheaded their application in … application of spatial assays for different
mono-omics layers of interest (Box 1) on adjacent or serial sections from the same tissue sample …

… In this work, we present a comprehensive survey of continual learning, seeking to bridge
the basic settings, theoretical foundations, representative methods, and practical applications. …

… We apply a different method that addresses finite-sample bias and leads to substantially …
The finite-sample bias that we highlight has been noted in that context by Cortese, Falk, and …

… methods and applications for the fusion of infrared and visible images. First, infrared and
visible image fusion methods are … Second, we provide an overview of the main applications of …

… Random sampling is the best way of ensuring that the results of a study will generalize to
the population of interest. Several distinct methods of random sampling may be used, …