Shift-invariant spaces form a fundamental class of function spaces where elements can be represented as linear combinations of translates of one or more generating functions. This concept is pivotal ...

A general and basic model for inference about characteristics of a finite population of distinguishable elements is presented from a subjectivistic-Bayesian point of view. A subjectivist analogue to ...

Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 28, No. 2/3 (Sep., 1966), pp. 175-204 (30 pages) Starting with the basic concepts in sampling theory for finite populations we ...

11 to 15 November 2019, Frascati, Italy – A total of 30 participants attended the fifth Center for Development Data (C4D2) International Training Week titled “Special Topics and Recent Developments in ...

Discrepancy theory investigates the uniformity of distributions by quantifying the deviation between the empirical distribution of a finite set of points and the uniform distribution. In numerical ...

A research team has developed a novel multidimensional sampling theory to overcome the limitations of flat optics. The study not only identifies the constraints of conventional sampling theories in ...