Thank you very much for sharing the code. In your paper, you used CNF based on MAF to evaluate the conditional probability distribution of each time series variable. But MAF should mask some of the dimensions of hidden variables and then perform autoregression. How does MAF work for this one-dimensional univariate time series?
Thank you very much for sharing the code. In your paper, you used CNF based on MAF to evaluate the conditional probability distribution of each time series variable. But MAF should mask some of the dimensions of hidden variables and then perform autoregression. How does MAF work for this one-dimensional univariate time series?