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I'd like to build an RNN in numpy from scratch to really get come comfortable with backpropagation through time (BPTT.) In the below diagram and LaTeX, I show two neurons,...
Asked on 12/03/2021 by jbuddy_13
0 answerIs it ever valid to include a two-way interaction in a model without including the main effects? What if your hypothesis is only about the interaction, do you still...
Asked on 12/03/2021 by Glen
18 answerTitle explains it all. I want to know which test is the most appropriate to track weight loss / weight gain on a weekly basis in order to create a...
Asked on 12/03/2021
2 answerThe majority of autoencoder architectures I've seen have a similar architecture, mainly that the decoder is just the reverse of the encoder. If the goal of the autoencoder is low-dimensional...
Asked on 12/03/2021 by duncster94
2 answerI am currently reviewing a paper that estimates the effect of the COVID19 lockdown on a medical outcome $Y$. $Y$ is a binary variable. The authors use patient-level...
Asked on 12/03/2021 by user102546
0 answerI have long been struggling with setting a valid threshold t for predicting my binary logistic model and hereafter evaluate how well it performs (see code below). I believed setting...
Asked on 12/03/2021
1 answerI tried this $X_{1}X_{2}+X_{1}X_{3}+X_{2}X_{3}=X_{1}(X_{2}+X_{3})+frac{1}{4}(X_{2}+X_{3})^{2}-frac{1}{4}(X_{2}-X_{3})^{2}$ $U=X_{2}+X_{3}sim N(0,2)$ $psi_{X_{1}(X_{2}+X_{3})}(t)=psi_{X_{1}U}(t)=frac{1}{sqrt{2}cdot 2pi}int_{-infty}^{infty}int_{-infty}^{infty}e^{x_{1}ut}e^{-frac{1}{2}(x_{1}^{2}+frac{u^{2}}{2})}, dx_{1}, du$ $=frac{1}{sqrt{2}cdot 2pi}int_{-infty}^{infty}int_{-infty}^{infty}e^{-frac{1}{4}(2(x_{1}-ut)^{2}-2u^{2}t^{2}+u^{2})}, dx_{1}, du$ $V=(x_{1}-ut)qquad dv=dx_{1}\ =frac{1}{sqrt{2}cdot...
Asked on 12/03/2021 by Sofia Fredriksson
2 answerI am trying to understand different approaches that use randomization procedures. One thing I cannot come to a clear conclusion on is this: Say we have randomly sampled individuals from...
Asked on 12/03/2021
1 answerAfter implementing an IV probit model, the signs of many exogenous covariates' coefficients have been flipped, compared to those in the baseline probit model. These signs are now at odds...
Asked on 12/03/2021 by Zhenkai Ran
1 answerI have read a lot on Shapley decompositions for relative contributions of regressors in linear regression. I was wondering if there is a way to do time-varying relative contributions. For...
Asked on 12/03/2021 by Raghav Goyal
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