# Questions tagged [nonlinear-regression]

Use this tag only for regression models in which the response is a nonlinear function of the parameters. Do not use this tag for nonlinear data transformation; use [data-transformation] for that instead.

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### When to choose GAM over GLMM and how to include random effect into GAM

This is a follow-up question to this question. Here is a description of the dataset: the outcome variable is the number of contacts per participant for two periods before lockdown and under lockdown. ...
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### Standardizing OR from logistic regressions with log-transformed variables for meta-analysis?

I´m trying to meta-analyze odds ratios from logistic regressions; some of which log-transformed the independent variable first. (i.e. some studies present an OR per +1 in the independent variable, ...
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### GAMs falsely suggest non-linear function (edf>2) for about 15-25% of simulated data?

I've been learning about GAMs and was curious about how sensitive they are to noise within a given sample. I know people generally say that GAMs are more prone to overfitting than GLMs and need to be ...
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### How to visualize trends

I am working on a paper where we plotted BMI trends as a function of age in the population. We plotted trends for six databases, then we plotted for each sex, then for race, in three categories. I ...
1 vote
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### How to diagonalise when there is less parameters to estimate than data in the Levenberg-Marquardt algorithm

I am trying to calibrate a Heston Model with 100 call options using this paper https://arxiv.org/pdf/1511.08718.pdf. In algorithm 4.1 on page 18, they define the dampening factor as: \mu_0 = \omega \...
1 vote
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### How to calculate the uncertainty of fitting parameter in a nonlinear model

I have a cost function which is: (F(X,B)-Y)*(F(X,B)-Y) F is my model, B are my fitting ...
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### Which of these regression models would be the most appropriate to test the given research question?

If we want to test: population with a high level of education were less likely to contract COVID, which of the following regression(s) we should run? Explain whether each one is appropriate. LN is ...
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### Predicting CSAT scores using GAM

I am trying to fit a GAM model to predict CSAT (customer satisfaction scores on a scale of 0 to 10) which I believe are ordinal in nature. I used a categorical predictor (type) and two numeric ...
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