Regression analysis is a collection of statistical techniques for modeling and predicting one or multiple variables based on other data.
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3 views
Prediction in Support Vector Regression
Has anyone attempted prediction using support vector regression?
I'm using LIBSVM i'm not sure how to use SVR in both univariate and multivariate time series
Say we have stock prices for N days. ...
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1answer
32 views
SVM regression with logistic link function?
I'm using an elastic net classifier for a model that requires probabilistic outputs between 0 and 1, and I've found that SVMs give much better classification accuracy than the glmnet model (not too ...
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0answers
42 views
Regression models: multiply, polynomial, linear - which one is better? [on hold]
I wish to perform multiple linear regression of 5 or 6 predictors at a time.
I have total no. of 50 predictors.
I want to find regression coefficients for all possible combinations of predictors ...
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2answers
54 views
How to choose model for multi-dimension polynomial regression?
I have the data samples like this:
1.5 2.3 4.2 0.9
1.2 0.3 1.2 0.3
0.5 1.3 2.2 1.5
4.2 2.5 3.2 6.2
Let's define
x1 = {1.5 2.3 4.2 0.9}
and x11 = 1.5, x12 = 2.3, x13 = 4.2, y1 = ...
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0answers
4 views
Plot residual error graph in multiple linear regression
I have a multiple linear regression model with one output value and two input values.
z=Ax+By+C
I would like to plot a graph of residual errors vs instances. Is there any standard tool which I can ...
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1answer
9 views
How to set intercept_scaling in scikit-learn LogisticRegression
I am using scikit-learn's LogisticRegression object for regularized binary classification. I've read the documentation on intercept_scaling but I don't understand how to choose this value ...
2
votes
1answer
46 views
Unexpected standard errors with weighted least squares in Python Pandas
In the code for the main OLS class in Python Pandas, I am looking for help to clarify what conventions are used for the standard error and t-stats reported when weighted OLS is performed.
Here's my ...
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28 views
How to build a cross-sectional time series model in R?
I am trying to build a cross-sectional time series model in R coming from a background of using EViews. I would like to build a model as follows:
y[xsection_1] = c(1) + c(2)*varA + c(3)*varB
...
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0answers
4 views
False Discovery Rate (FDR) Control for Regression with Correlated Predictors
False Discovery Rate (FDR) control procedure seems to be useful for multiple comparisons in ANOVA context. Is there a similar approach that works in the context of multiple regression where predictors ...
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0answers
21 views
R package for 2nd generation Panel data tests? [on hold]
Is there any R package that can perform 2nd generation (second generation) Panel data dependency tests, Panel unit root tests and Panel co-integration? Thanks for all your advice!
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0answers
11 views
Simple Regression by groups and displaying output
I want to ask some general questions on the possibility of regression in R.
For instance, I have data between two variables for 58 regions. I want to conduct the whole regression process including ...
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1answer
28 views
One p-value for glm model
i'm searching for a way to get one p-value which describes the goodness of fit for a glm-model. Here is a slightly modified example from the lm manpage:
ctl <- ...
2
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2answers
40 views
Custom plots using the effects package
I try to customize the multiline graphs from the effects package.
Is there anyway to position the legend in the example below within the plotting area and not above the graph?
Alternatively: Does ...
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votes
1answer
17 views
Supervised Learning
The question is about combining output probabilities from detectors.
Each of my detector d_i gives me a probability p_i of object presence in the scene.
I have a labelled data set and I would like to ...
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votes
1answer
69 views
R regression by groups and data visualization in one graph~ [on hold]
Hi currently I am conducting simple linear regression on two variables for data of different regions. I know that I can use the lmList function to get the coefficients at once for all the regions. But ...
