# Questions tagged [logistic]

Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression

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### Are there algorithms for computing “running” linear or logistic regression parameters?

A paper "Accurately computing running variance" at http://www.johndcook.com/standard_deviation.html shows how to compute running mean, variance and standard deviations. Are there algorithms where the ...
21k views

### When is logistic regression solved in closed form?

Take $x \in \{0,1\}^d$ and $y \in \{0,1\}$ and suppose we model the task of predicting y given x using logistic regression. When can logistic regression coefficients be written in closed form? One ...
33k views

### What's the difference between logistic regression and perceptron?

I'm going through Andrew Ng's lecture notes on Machine Learning. The notes introduce us to logistic regression and then to perceptron. While describing Perceptron, the notes say that we just change ...
55k views

### What is the difference between logistic regression and neural networks?

How do we explain the difference between logistic regression and neural network to an audience that have no background in statistics?
28k views

### Interpretation of simple predictions to odds ratios in logistic regression

I'm somewhat new to using logistic regression, and a bit confused by a discrepancy between my interpretations of the following values which I thought would be the same: exponentiated beta values ...
21k views

### Kernel logistic regression vs SVM

As is known to all, SVM can use kernel method to project data points in higher spaces so that points can be separated by a linear space. But we can also use logistic regression to choose this ...
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### How to handle ordinal categorical variable as independent variable

I am using a logit model. My dependent variable is binary. However I have an independent variable which is categorical and contains the responses: ...
25k views

### What are the differences between Logistic Function and Sigmoid Function?

Fig 1. Logistic Function Fig 2. Sigmoid Function is it more like generalized kind of sigmoid function where you could have a higher maximum value?
30k views

### How to set up and estimate a multinomial logit model in R?

I ran a multinomial logit model in JMP and got back results which included the AIC as well chi-squared p-values for each parameter estimate. The model has one categorical outcome and 7 categorical ...
20k views

### Why is logistic regression called a machine learning algorithm?

If I understood correctly, in a machine learning algorithm, the model has to learn from its experience, i.e when the model gives the wrong prediction for the new cases, it must adapt to the new ...
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### How to interpret main effects when the interaction effect is not significant?

I ran a Generalized Linear Mixed Model in R and included an interaction effect between two predictors. The interaction was not significant, but the main effects (the two predictors) both were. Now ...
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### Why using Newton's method for logistic regression optimization is called iterative re-weighted least squares?

Why using Newton's method for logistic regression optimization is called iterative re-weighted least squares? It seems not clear to me because logistic loss and least squares loss are completely ...
19k views

### Understanding complete separation for logistic regression [duplicate]

Why does logistic regression not converge for a linearly separable data set? For linear separable data sets the model parameters go to infinity when mimizing the error function (according to ...
14k views

### Logistic Regression - Multicollinearity Concerns/Pitfalls

In Logistic Regression, is there a need to be as concerned about multicollinearity as you would be in straight up OLS regression? For example, with a logistic regression, where multicollinearity ...
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### Should sampling for logistic regression reflect the real ratio of 1's and 0's?

Suppose I want to create logistic regression model which can estimate a probability of occurrence of some animal species living on trees based on characteristics of trees (f.e. height). As always, my ...
31k views

### How to compute the standard errors of a logistic regression's coefficients

I am using Python's scikit-learn to train and test a logistic regression. scikit-learn returns the regression's coefficients of the independent variables, but it does not provide the coefficients' ...