User Don Walpola

21 votes

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Why is a 0-1 loss function intractable?

answered Sep 5, 2018 at 4:08

16 votes

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When can you apply the bootstrap to time series models?

answered Feb 22, 2020 at 20:35

8 votes

Why are random Fourier features efficient?

answered Dec 17, 2019 at 20:35

5 votes

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Why do we treat a value at each location as a random variable?

answered Aug 14, 2019 at 0:17

4 votes

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Understanding a derivation of bias correction for the Adam optimizer

answered Sep 10, 2018 at 0:16

3 votes

Can a Single Layer Perceptron Learn a Nonlinear Function?

answered Feb 12, 2020 at 1:51

3 votes

Analysis concepts relevant to probability theory

answered Aug 30, 2018 at 23:09

2 votes

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What is $\lambda_{min}$ that makes all regression coefficients zero in LASSO regression

answered Sep 4, 2018 at 3:26

2 votes

What is the total number of outcomes in the Monty Hall problem?

answered Sep 7, 2018 at 5:29

2 votes

Concentration for Conditional Random Variable

answered Aug 22, 2018 at 22:58

2 votes

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$\lambda \Vert k \Vert_0$ or $\Vert k \Vert_0 \leqslant n$

answered Sep 2, 2018 at 3:04

2 votes

How to recursively filter sequential predictions of binary classifier?

answered Dec 18, 2019 at 3:08

2 votes

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Estimating model for transition probabilities of a Markov Chain

answered Feb 26, 2020 at 3:09

1 vote

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Simplifying the Matrix Form of the Solution to Ridge Regression

answered Sep 13, 2019 at 21:37

1 vote

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Are Linear Regression associations correct with a binary dependent variable?

answered Sep 8, 2018 at 14:19

1 vote

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Why do nonlinearities in deep neural nets give rise to very high derivatives?

answered Sep 7, 2018 at 5:58

1 vote

Intuition behind word vector representations

answered Sep 5, 2018 at 20:53

1 vote

What is required for neural network to approximate discontinuous function?

answered Sep 1, 2018 at 0:49

1 vote

Are the assumptions of subset selection violated of all the data comes from a single person?

answered Sep 1, 2018 at 1:12

0 votes

Bayesian statistics, what is the predictive distribution?

answered Aug 22, 2018 at 22:46

0 votes

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finding sample size with known $\sigma$

answered Sep 7, 2018 at 15:07

0 votes

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How can I use patterns from data analysis to make a predictive machine learning model?

answered Sep 3, 2018 at 15:55

0 votes

Finding chain of observations using homogeneous Markov chain

answered Sep 3, 2018 at 16:34

0 votes

Regression problem with several samples per response (dependent variable)

answered Sep 3, 2018 at 19:32

0 votes

Unsupervised learning with missing features

answered Aug 24, 2018 at 18:54

0 votes

Question regarding Gaussian Discriminant Analysis, and Generative Learning models

answered Aug 24, 2018 at 20:19

0 votes

Conditional and Joint distributions with many variables

answered Aug 30, 2018 at 22:43

0 votes

Linear Regression Coefficient Interpretation

answered Sep 8, 2018 at 16:58

Stack Exchange Network

28 Answers

Why is a 0-1 loss function intractable?

When can you apply the bootstrap to time series models?

Why are random Fourier features efficient?

Why do we treat a value at each location as a random variable?

Understanding a derivation of bias correction for the Adam optimizer

Can a Single Layer Perceptron Learn a Nonlinear Function?

Analysis concepts relevant to probability theory

What is $\lambda_{min}$ that makes all regression coefficients zero in LASSO regression

What is the total number of outcomes in the Monty Hall problem?

Concentration for Conditional Random Variable

$\lambda \Vert k \Vert_0$ or $\Vert k \Vert_0 \leqslant n$

How to recursively filter sequential predictions of binary classifier?

Estimating model for transition probabilities of a Markov Chain

Simplifying the Matrix Form of the Solution to Ridge Regression

Are Linear Regression associations correct with a binary dependent variable?

Why do nonlinearities in deep neural nets give rise to very high derivatives?

Intuition behind word vector representations

What is required for neural network to approximate discontinuous function?

Are the assumptions of subset selection violated of all the data comes from a single person?

Bayesian statistics, what is the predictive distribution?

finding sample size with known $\sigma$

How can I use patterns from data analysis to make a predictive machine learning model?

Finding chain of observations using homogeneous Markov chain

Regression problem with several samples per response (dependent variable)

Unsupervised learning with missing features

Question regarding Gaussian Discriminant Analysis, and Generative Learning models

Conditional and Joint distributions with many variables

Linear Regression Coefficient Interpretation