We suggest that there should be a minimum electromagnetic radiation frequency in the Hubble sphere and that this seems to be directly linked to the Hawking Temperature and our recent discovery that ...
This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...
Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...
What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
Abstract: A fundamental quantity of interest in Shannon theory, classical or quantum, is the error exponent of a given channel W and rate R: the constant $E(W,R ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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