Past work on complex variables has mainly focused on their second-order structure, as well as that of their conjugates, whereas the main purpose of this correspondence is to clarify the concept of a ...

Among other statistical models used to represent joint distribution, Markov random ... the exponential scalability of quantum computing to speed up the estimation of the partition function of a MRF ...

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This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

In this study, a comprehensive analysis of various ensemble techniques is carried out, particularly focusing on algorithms like Random Forest, Gradient Boosting, and AdaBoost, in addition to ...

In this study, we report a six-generation with segregation of the mutation present in four generations Chinese family presenting with focal epilepsy with variable foci ... to evaluate the role of ...

The first edition of this classic book has become the authoritative reference for physicists desiring to master the finer points of statistical data analysis. This second edition contains all the ...

Most of those equations are based on the Kirkwood equation, in which the parameter g (the Kirkwood correlation factor) can be expressed as a function of experimental variables, like density and ...

A demonstration animation of a code editor using GitHub Copilot Chat, where the user requests GitHub Copilot to refactor duplicated logic and extract it into a reusable function for a given code ...

The central limit theorem (CLT) implies that given , a sequence of independent and identically distributed (IID) random variables with expected value and variance , the cumulative distribution ...

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