In the world of data analysis and statistics, continuous and discrete data play fundamental roles. These two types of quantitative data serve different purposes as people use them to draw valuable ...

At each sampling time instant, one observes system output and action to form discrete-time rewards. The sampled input-output data are collected along the trajectory of the dynamical system in ...

Can discretely sampled financial data help us decide which continuous-time models are sensible? Diffusion processes are characterized by the continuity of their sample paths. This cannot be verified ...

Discrete Global Grid Systems (DGGS) have emerged as a robust framework for organising and analysing geospatial data across the entire Earth. By partitioning the globe into a hierarchy of optimally ...

Furthermore, EHRs serve as the primary interface for clinicians and laboratories to order tests and receive results, but molecular profiling results and their interpretation often exist outside of the ...

Data refers to numbers, characters, text, and images that you arrange in some sort of logical or meaningful way.Levels of MeasurementUnderstanding the levels of measurement is crucial for quantitative ...