DTMsDSMs
DTMsDSMs is an umbrella term used in some scholarly and industry contexts to describe an integrated approach to modeling time-dependent processes (dynamic time models, DTMs) and performing statistically grounded decision making (statistical decision methods, DSMs). The term emphasizes combining temporal dynamics with uncertainty quantification to support data-driven decisions in complex systems.
DTMs encompass methods for representing evolving states over time, such as state-space models, Kalman filters, hidden
Integration typically occurs through software pipelines and modeling frameworks that connect temporal estimation with decision logic,
Applications span finance and economics, energy systems, manufacturing, healthcare, transportation, and climate science. The concept remains