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0 votes
0 answers
25 views

Can I use log-log OLS with no constant to measrue the relationship between two variables in a non-normal distribution?

I am trying to measure the relationship between the price of a futures-contract and the current price of the underlying asset on the day of purchasing said futures-contract. For this I have a dataset ...
Statauser's user avatar
0 votes
0 answers
607 views

No significant interaction in OLS, but significant in pairwise comparison

I have two independent categorical variables — (i) A: {1, 2, 3}, (ii) B: {0, 1} — with a continuous outcome variable ...
Alex Zakharov's user avatar
0 votes
0 answers
101 views

Nonlinear regression: improving parameter estimates

I'm running a nonlinear regression to estimate $\delta$ and $\alpha$ using the following model, where $X$, $Y$ and $Z$ are the variables: \begin{equation} Z = \left(\delta X^\alpha+(1-\delta)Y^\alpha\...
financial theory's user avatar
2 votes
1 answer
2k views

Conditional Expected Value of the Response Variable and the Prediction with the fitted model in Linear Regression

I am running the following code to check my concepts in simple linear regression. As we know from theory, $E[Y|X] = \beta_0 + \beta_1X$ or put in another way, $Y=\beta_0 + \beta_1X + \epsilon$, I was ...
Sandipan Dey's user avatar
6 votes
1 answer
2k views

Surface Fit Using Tensor Product of B-Splines

I am trying to teach myself surface fitting with splines using tensor products. I am trying to construct a toy example but I can't seem to get my example to work. I will try to explain the best I can ....
Eric's user avatar
  • 61
3 votes
0 answers
272 views

Question about the answer to "Local polynomial regression: Why does the variance increase monotonically in the degree?" [duplicate]

I appreciated Marco's elegant answer explaining why the variance of a local polynomial regression increases monotonically in the degree. However, in the end of the proof, I find difficult to calculate ...
Tubardus's user avatar
6 votes
1 answer
1k views

Setting up a naive tensor product B-spline example

I've simulated data according to $y = \text{sin}(2\cdot(4x-2))+2\cdot\text{exp}(-(16^2)(x-0.5)^2)+\epsilon$ where $\epsilon \sim \mathbb{N}(0,0.3^2)$ By evaluating the ith B-Spline of degree $k$, i....
Druss2k's user avatar
  • 1,113
3 votes
2 answers
122 views

Fitting a continuous result to categorical predictors semiparametrically

Suppose one has a relatively large number of observations, each of which consists of a continuous result and a small number (2 or perhaps 3) of categorical variables, each of which has a large ...
ryan's user avatar
  • 191