Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...

Mathematics of Operations Research, Vol. 41, No. 1 (February 2016), pp. 146-173 (28 pages) This paper investigates the problem of maximizing expected terminal utility in a (generically incomplete) ...

Abstract: We derive a new upper bound on the reliability function for channel coding over discrete memoryless channels. Our bounding technique relies on two main elements: (i) adding an auxiliary ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

Application characteristics help specifiers choose the best discrete sensor type. Industrial automation systems depend on sensors to detect what is going on with machinery and products for effective ...

Abstract: Learning the joint probability of random variables (RVs) is the cornerstone of statistical signal processing and machine learning. However, direct nonparametric estimation for ...