User shane

9 votes

Accepted

What is "Verbose" in scikit-learn package of Python?

answered May 24, 2015 at 17:54

3 votes

Whats it called when you fit a linear regression to data with outliers at the end point that influence your regression

answered May 30, 2015 at 4:51

3 votes

Accepted

P-values for regression coefficients in total least squares regression

answered Aug 10, 2015 at 14:34

2 votes

Are 'neurons' and 'feature detectors' the same? (in the context of neural networks)

answered Aug 13, 2015 at 11:32

2 votes

Accepted

Why are stochastic optimization algorithms able to find global minima (PSO and Genetic algorithm)

answered May 24, 2015 at 18:24

1 vote

Predicted vs actual values of the dependent variable

answered Jul 3, 2015 at 8:01

1 vote

Computing fit of model to horizontally-misalligned time-series data

answered Jul 29, 2015 at 13:25

1 vote

regression with ratio variables

answered Jul 29, 2015 at 16:37

1 vote

Subsampling to bootstrap multiple pseudo panels

answered May 22, 2015 at 5:31

1 vote

How to downweigh outlier in a sum?

answered May 22, 2015 at 6:01

0 votes

Could we use multiple regression if the data do not shown the linearity?

answered Aug 10, 2015 at 9:44

0 votes

Calculating Standard Deviation when given sample size, mean difference & p value

answered May 24, 2015 at 18:46

0 votes

How to finalize the factors to be considered for simple linear regression

answered May 25, 2015 at 4:18

Stack Exchange Network

13 Answers

What is "Verbose" in scikit-learn package of Python?

Whats it called when you fit a linear regression to data with outliers at the end point that influence your regression

P-values for regression coefficients in total least squares regression

Are 'neurons' and 'feature detectors' the same? (in the context of neural networks)

Why are stochastic optimization algorithms able to find global minima (PSO and Genetic algorithm)

Predicted vs actual values of the dependent variable

Computing fit of model to horizontally-misalligned time-series data

regression with ratio variables

Subsampling to bootstrap multiple pseudo panels

How to downweigh outlier in a sum?

Could we use multiple regression if the data do not shown the linearity?

Calculating Standard Deviation when given sample size, mean difference & p value

How to finalize the factors to be considered for simple linear regression