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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 ...

- Discrete Data consists of distinct, separate values that can be counted. It typically involves whole numbers and cannot be subdivided meaningfully. Examples include the number of students in a class ...

Two major theories have fueled a now 1,500 year-long debate started by Saint Augustine: Is consciousness continuous, where we are conscious at each single point in time, or is it discrete, where we ...

Autoregressive visual generation models have emerged as a groundbreaking approach to image synthesis, drawing inspiration from language model token prediction mechanisms. These innovative models ...

We propose Continuous-exploratory Discrete Langevin Sampler (cDLS), a hybrid gradient-based sampler for discrete distributions. cDLS exploits the gradient information to explore the continuous space ...

Abstract: This paper focuses on the exponential stability of time-varying hybrid stochastic large-scale networks, in which a novel discrete-time observation control strategy with volatile control gain ...