# Questions tagged [non-linear-regression]

In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations. It is used in place when the data shows a curvy trend, and linear regression would not produce very accurate results when compared to non-linear regression.

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### How do nonlinear relationships affect casuality determination

Let's assume that I have only one independent variable and one dependent, and I have a great model with minimal error which deals well with predicting. Let's also assume that I do no know the true ...
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### Find the relationship between data in this plot

Attached image. How would you find the relationship between independent variable (x) and dependent variable (y)? Is it linear or non-linear? What would the function looks like? P.S. I believe this is ...
1 vote
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### Optimizing a blackbox function with binary states

I have a non-linear black box function, which inputs a vector(size=250) and outputs a scalar value; f(x) = value. The x variable is a vector of size 250 and has ...
• 111
1 vote
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### Active Learning regression with Random Forest

I have a dataset of about 8k points and I am trying to employ active learning with the random forest regressor. I have split the dataset to train and ...
• 150
1 vote
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### What is the difference between linear and non-linear regression?

In machine learning, I understand that linear regression assumes that parameters or weights in equation should be linear. For Example: $$y = w_1x_1 + w_2x_2$$ is a linear equation where $x_1$ and \$...
• 43
1 vote