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5 votes
1 answer
84 views

Interpreting complex roots of $R^2$

This is a common way to define $R^2$ in a regression problem. $$ R^2=1-\left(\dfrac{ \overset{N}{\underset{i=1}{\sum}}\left( y_i-\hat y_i \right)^2 }{ \overset{N}{\underset{i=1}{\sum}}\left( y_i-\bar ...
Dave's user avatar
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3 votes
0 answers
83 views

Putting a constraint on the output of the neural network

I am using a neural network to input some complex numbers and to obtain complex numbers. I converted the input complex numbers into real values by stacking the real part and imaginary parts as a ...
Prashanth Krishnananthalingam's user avatar
0 votes
0 answers
25 views

Sum of squares for datasets valued in $\mathbb{R}^{m \times m}$ or $\mathbb{C}^{m\times m}$

Let us assume we have $k \times k$ matrix valued data and assume this is organized (possibly as time series): $$ M_1, M_2, \ldots, M_n $$ Now, assume we are interested in writing down an error ...
Marion's user avatar
  • 81
1 vote
0 answers
1k views

Maximum likelihood estimation for the complex multivariate Gaussian

Background Consider a multivariate Gaussian dataset $\mathbf{Y}$ with observations on $k$ individuals (rows) over $m$ variables (columns). The variables have covariance $\boldsymbol{\Sigma}$ (an $m\...
Eric's user avatar
  • 435
2 votes
0 answers
90 views

Complex valued design matrix

In statistics design matrix is fundamental concept. It includes set of explanatory variables, for example in case of MRI data we use dc component, drift,physiological noise and so on. What will ...
Vendetta's user avatar
  • 615
46 votes
5 answers
23k views

Analysis with complex data, anything different?

Say for example you are doing a linear model, but the data $y$ is complex. $ y = x \beta + \epsilon $ My data set is complex, as in all the numbers in $y$ are of the form $(a + bi)$. Is there ...
bill_e's user avatar
  • 2,861