Why use Convolution of probability function instead of cross-correlation?
95509
Why is the sum of two random variables a convolution?
88139
Why binary crossentropy can be used as the loss function in autoencoders?
122077
Two correlated marginally Gaussian RV, but not Jointly Gaussian
108939
Definition of convolution?
145438
"Kernel density estimation" is a convolution of what?
153357
Why is step function not used in activation functions in machine learning?
149550
Why is a convolution of an $L^1$ and an $L^p$ functions well-defined?
145172
Objective function of canonical correlation analysis (CCA)
153393
Is there a *simple* example showing that uncorrelated random variables need not be independent?
49998
Proof that sum of independent normals is normal using convolutions
13113
Intuition behind using complementary CDF to compute expectation for nonnegative random variables
127903
Why can 2 uncorrelated random variables be dependent?
54439
Theoretical motivation for using log-likelihood vs likelihood
19651
What are the advantages of ReLU over sigmoid function in deep neural networks?
37665
Convolution of two Gaussians is a Gaussian
141842
Is the convolution of two continuous functions continuous?
123186
Proving the probability integral transform without assuming that the CDF is strictly increasing