Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
Abstract: In this paper, an importance sampling maximum likelihood (ISML) estimator for direction-of-arrival (DOA) of incoherently distributed (ID) sources is proposed. Starting from the maximum ...
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: Count data is almost always over-dispersed where the variance exceeds the mean. Several count data models have been proposed by researchers but the problem of over-dispersion still remains ...
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 ...
Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...
Cumulative probability is an essential concept in the world of statistics and probability theory. It refers to the likelihood that a random variable will take a value equal to or less than a specific ...
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