RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS

By End Semester Sta. 2014

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Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems (2011, background): “We review some limit results for random vectors [17] that will be useful later on.”
Review of Causal Discovery Methods Based on Graphical Models (2019, background): “Cramér’s decomposition theorem states that if the sum of two independent real-valued random variables is Gaussian, then both of the summand variables much be Gaussian as well; see (Cramér, 1970, page 53).”
Cell-Free Massive MIMO Versus Small Cells (2016, unknown): “Then by Tchebyshev’s theorem [34],2 we have”
Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems (2016, methodology): “However, we can approximate ˆ h k as Gaussian using Cram´er’s central limit theorem [47].”