User Benoit Sanchez - Cross Validated

20 votes

7 answers

9k views

Avoid overfitting in regression: alternatives to regularization

asked Jul 19, 2017 at 10:42

19 votes

1 answer

4k views

Understanding negative ridge regression

asked Mar 1, 2018 at 16:47

11 votes

1 answer

2k views

Is convergence in probability equivalent to "almost surely... something"

asked Mar 10, 2018 at 15:37

11 votes

2 answers

1k views

Difference between random effetcs and dummy coding of a categorical variable

asked Oct 26, 2017 at 14:56

9 votes

2 answers

295 views

Technical point about convergence with conditional expectation

asked Mar 9, 2018 at 19:29

7 votes

2 answers

1k views

Bias caused by optional stopping

asked Jan 28, 2018 at 18:51

6 votes

1 answer

6k views

Power of the chi-squared test

asked Jun 30, 2017 at 13:21

4 votes

2 answers

111 views

Testing count post sampling

asked May 30, 2017 at 13:44

4 votes

1 answer

790 views

Non parametric estimation/regression for conditional distribution

asked Jun 2, 2017 at 22:39

4 votes

1 answer

786 views

Dimension reduction methods: overview of complexity

asked Jan 9, 2018 at 10:15

3 votes

2 answers

2k views

Best unbiased estimator for a location family

asked Jan 15, 2018 at 10:23

3 votes

1 answer

428 views

Predictor for averaged Brownian motion

asked Nov 10, 2017 at 14:57

3 votes

0 answers

201 views

Maximum likelihood estimator with atoms

asked Jul 15, 2017 at 20:43

3 votes

1 answer

154 views

Estimating the probability to have already been seen

asked Feb 6, 2018 at 21:13

3 votes

0 answers

70 views

Removing the influence of undesirable features in clustering

asked Feb 15, 2018 at 15:36

3 votes

1 answer

157 views

Testing a linear hypothesis for a discrete distribution

asked Dec 17, 2017 at 17:47

2 votes

1 answer

81 views

Learning a distribution when observing a OR between several classes

asked Mar 8, 2018 at 10:24

2 votes

0 answers

47 views

Adaptable statistical power

asked Jun 21, 2017 at 12:16

2 votes

0 answers

372 views

Stochastic gradient descent and sampling

asked Jul 24, 2017 at 8:28

1 vote

2 answers

160 views

Forecasting average values with varying number of observations

asked Nov 13, 2017 at 15:32

1 vote

1 answer

336 views

Time varying regression in high dimension: cheaper than the Kalman filter

asked Nov 28, 2017 at 13:56

1 vote

1 answer

67 views

Training from a dataset with hidden positives

asked Sep 30, 2017 at 18:35

0 votes

0 answers

60 views

Forecasting methods to work globally on a series of datasets

asked Oct 25, 2017 at 10:05

0 votes

1 answer

190 views

Entropy estimation with fewer data lines than bins

asked Sep 6, 2017 at 14:11

0 votes

0 answers

207 views

Logistic regression: precision of p(Y)

asked Sep 8, 2017 at 10:31

0 votes

0 answers

288 views

K-means: why reduce dimensions first? [duplicate]

asked Sep 22, 2017 at 10:13

Stack Exchange Network

26 Questions

Avoid overfitting in regression: alternatives to regularization

Understanding negative ridge regression

Is convergence in probability equivalent to "almost surely... something"

Difference between random effetcs and dummy coding of a categorical variable

Technical point about convergence with conditional expectation

Bias caused by optional stopping

Power of the chi-squared test

Testing count post sampling

Non parametric estimation/regression for conditional distribution

Dimension reduction methods: overview of complexity

Best unbiased estimator for a location family

Predictor for averaged Brownian motion

Maximum likelihood estimator with atoms

Estimating the probability to have already been seen

Removing the influence of undesirable features in clustering

Testing a linear hypothesis for a discrete distribution

Learning a distribution when observing a OR between several classes

Adaptable statistical power

Stochastic gradient descent and sampling

Forecasting average values with varying number of observations

Time varying regression in high dimension: cheaper than the Kalman filter

Training from a dataset with hidden positives

Forecasting methods to work globally on a series of datasets

Entropy estimation with fewer data lines than bins

Logistic regression: precision of p(Y)

K-means: why reduce dimensions first? [duplicate]