User mynameisJEFF

49 votes

3 answers

98k views

Derive Variance of regression coefficient in simple linear regression

asked Mar 2, 2014 at 15:56

27 votes

1 answer

9k views

What exactly is called "principal component" in PCA?

pca terminology definition

asked Feb 27, 2014 at 12:19

20 votes

2 answers

23k views

Compute and graph the LDA decision boundary

r references discriminant-analysis

asked Apr 1, 2014 at 17:19

10 votes

2 answers

9k views

How to find optimal values for the tuning parameters in boosting trees ?

machine-learning cross-validation computational-statistics boosting

asked Jun 15, 2014 at 22:45

8 votes

2 answers

16k views

How to generate uncorrelated white noise sequence in R without using arima.sim?

r time-series white-noise

asked May 15, 2015 at 10:14

7 votes

3 answers

10k views

Can I fit logistic regression over a dataset with only categorical data?

regression logistic categorical-data generalized-linear-model fitting

asked Nov 3, 2015 at 16:47

6 votes

1 answer

4k views

How do I transform a non-linear relationship to make it linear?

r data-transformation

asked Jun 18, 2018 at 6:10

6 votes

3 answers

6k views

Deriving the optimal value for the intercept term in SVM

svm references

asked Mar 25, 2014 at 11:28

6 votes

1 answer

9k views

Estimating the covariance matrix in linear discriminant analysis

machine-learning references discriminant-analysis mathematical-statistics statistical-learning

asked Mar 19, 2014 at 19:01

5 votes

2 answers

9k views

What is the difference between support vector machines and support vector regression?

regression machine-learning svm

asked Jun 25, 2017 at 17:07

4 votes

1 answer

5k views

Understanding the geometric margin of SVM

svm

asked Mar 25, 2014 at 7:15

4 votes

1 answer

534 views

Understand the reasons of using Kernel method in SVM

machine-learning svm kernel-trick statistical-learning

asked Jun 2, 2014 at 8:35

3 votes

1 answer

342 views

Equation 3.49 from Elements of Statistical Learning

mathematical-statistics pca references ridge-regression

asked Feb 25, 2014 at 5:12

2 votes

1 answer

13k views

distortion function for k-means algorithm

clustering distance-functions

asked Feb 26, 2014 at 11:53

2 votes

1 answer

632 views

Reproducing the Table 3.2 from the Elements of Statistical Learning

r regression linear-model

asked Feb 24, 2014 at 11:21

2 votes

1 answer

3k views

glmnet in R: Selecting the right $\alpha$

glmnet

asked Jul 9, 2017 at 16:39

2 votes

0 answers

408 views

How do I tune the $\alpha$ parameter in glmnet ? How to define an optimal $\alpha$

machine-learning glmnet

asked Jul 12, 2017 at 19:13

2 votes

0 answers

134 views

How does one differentiate the log likelihood of a multivariate normal density?

self-study mathematical-statistics multivariate-normal-distribution

asked May 9, 2017 at 11:26

2 votes

2 answers

1k views

Difference time series and then minus the mean of the differenced series within Arima

r time-series arima

asked May 29, 2015 at 18:39

1 vote

1 answer

578 views

How to select model based on Cross Validation?

cross-validation model-selection

asked Jun 27, 2017 at 16:29

1 vote

1 answer

106 views

Deriving the in-sample error for linear model from the elements of statistical learning

references

asked Mar 28, 2014 at 22:20

1 vote

0 answers

6k views

How to interpret the LDA output in R?

r computational-statistics discriminant-analysis

asked Apr 1, 2014 at 8:40

1 vote

0 answers

666 views

The Intercept terms for Ridge regression, lasso , pcr and PLS (elements of statistical learning)

references regularization intercept

asked Apr 4, 2014 at 19:42

1 vote

1 answer

2k views

Scaling data: why not standardize response variable to unit variance (in addition to zero mean)?

data-transformation scales optimal-scaling

asked Feb 28, 2014 at 9:38

1 vote

0 answers

112 views

Constructing the approximate confidence set for parameter vector beta in least square regression

regression confidence-interval references least-squares

asked Feb 28, 2014 at 16:35

1 vote

0 answers

23 views

Newton Raphson Algorithm: negative semi definiteness [duplicate]

optimization computational-statistics extreme-value

asked Mar 13, 2014 at 11:33

0 votes

1 answer

209 views

How is Gram-Schmidt procedure used in the following time series context?

time-series mathematical-statistics

asked Mar 11, 2015 at 0:20

0 votes

0 answers

913 views

Glmnet: How to avoid glmnet from standardizing the factor/dummy variables?

categorical-data glmnet

asked Jul 15, 2017 at 1:33

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28 Questions

Derive Variance of regression coefficient in simple linear regression

What exactly is called "principal component" in PCA?

Compute and graph the LDA decision boundary

How to find optimal values for the tuning parameters in boosting trees ?

How to generate uncorrelated white noise sequence in R without using arima.sim?

Can I fit logistic regression over a dataset with only categorical data?

How do I transform a non-linear relationship to make it linear?

Deriving the optimal value for the intercept term in SVM

Estimating the covariance matrix in linear discriminant analysis

What is the difference between support vector machines and support vector regression?

Understanding the geometric margin of SVM

Understand the reasons of using Kernel method in SVM

Equation 3.49 from Elements of Statistical Learning

distortion function for k-means algorithm

Reproducing the Table 3.2 from the Elements of Statistical Learning

glmnet in R: Selecting the right $\alpha$

How do I tune the $\alpha$ parameter in glmnet ? How to define an optimal $\alpha$

How does one differentiate the log likelihood of a multivariate normal density?

Difference time series and then minus the mean of the differenced series within Arima

How to select model based on Cross Validation?

Deriving the in-sample error for linear model from the elements of statistical learning

How to interpret the LDA output in R?

The Intercept terms for Ridge regression, lasso , pcr and PLS (elements of statistical learning)

Scaling data: why not standardize response variable to unit variance (in addition to zero mean)?

Constructing the approximate confidence set for parameter vector beta in least square regression

Newton Raphson Algorithm: negative semi definiteness [duplicate]

How is Gram-Schmidt procedure used in the following time series context?

Glmnet: How to avoid glmnet from standardizing the factor/dummy variables?