User Matthew Drury

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Evaluating quality of predicted distributions

answered Jul 9, 2018 at 20:19

6 votes

MLE for Poisson distribution is undefined with all-zero observations

answered Sep 26, 2017 at 3:26

6 votes

In model selection with $Y$ as the outcome and $ X = (X_1, \ldots, X_p)$ the explanatory variables, why do we care about $F_{Y|X}$?

answered Sep 2, 2017 at 23:28

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Why is only linearity between predictors a problem?

answered Nov 5, 2017 at 15:41

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Is it a creditable approach to use Random Forrest Variable importance for causal inference?

answered Jan 31, 2018 at 18:46

6 votes

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Difference in expressions of variance and bias between MSE and MSPE

answered Jun 5, 2016 at 22:44

6 votes

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GBM: impact of the loss function

answered Jun 5, 2016 at 23:03

6 votes

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Parameter n_iter in scikit-learn's SGDClassifier

answered May 27, 2016 at 17:47

6 votes

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What is out-of-fold average?

answered Jul 18, 2016 at 4:28

6 votes

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interpretation of slope estimate of Poisson regression

answered Sep 8, 2016 at 20:57

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Expectation of the absolute difference of two i.i.d Normal distributions

answered Jul 3, 2017 at 0:14

6 votes

Normality distribution and logistic regression

answered Jul 26, 2017 at 4:54

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How is the decision boundary's equation determined?

answered Jul 8, 2017 at 15:30

6 votes

Expectation of a uniform given a value

answered Jun 4, 2017 at 17:40

6 votes

What's in a name: hyperparameters

answered Apr 20, 2016 at 0:02

6 votes

Why is standard deviation defined as sqrt(var(x)) and not as abs(X-u)?

answered Apr 4, 2016 at 16:49

6 votes

Can someone explain what the foldid argument in glmnet does?

answered Jul 23, 2015 at 19:08

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Notation - gradients

answered Jul 24, 2015 at 18:25

6 votes

How can Poisson GLM work with non-count data (rate data)?

answered Aug 20, 2015 at 2:49

6 votes

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Let $X$ be a random variable and $f$ an invertible function. Then the CDF of a random variable $Y=f(X)$ always exists?

answered Sep 25, 2015 at 15:10

6 votes

Difference between `mle` and `optimize` functions in R

answered Sep 30, 2015 at 19:08

6 votes

how to choose lambda value while working with elsaticnet package

answered May 7, 2015 at 15:06

6 votes

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Interpreting coefficient values in lasso regression

answered May 3, 2015 at 5:25

6 votes

Can I make a linear congruential generator with a lognormal distribution?

answered May 16, 2015 at 5:05

6 votes

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How to find factor that is making matrix singular

answered May 22, 2015 at 21:57

6 votes

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What do we exactly mean by a biased estimate?

answered Mar 27, 2018 at 23:35

6 votes

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For simple linear regression, is $\beta_1$ linear in $y_i$?

answered Feb 21, 2020 at 4:02

6 votes

Does XGBoost has anything to do with logistic regression?

answered Feb 27, 2020 at 15:30

6 votes

Explanation for Additive Property of Variance?

answered Feb 3, 2019 at 20:23

5 votes

How is logistic regression related to Bernoulli Distribution?

answered May 26, 2017 at 0:58

Stack Exchange Network

432 Answers

Evaluating quality of predicted distributions

MLE for Poisson distribution is undefined with all-zero observations

In model selection with $Y$ as the outcome and $ X = (X_1, \ldots, X_p)$ the explanatory variables, why do we care about $F_{Y|X}$?

Why is only linearity between predictors a problem?

Is it a creditable approach to use Random Forrest Variable importance for causal inference?

Difference in expressions of variance and bias between MSE and MSPE

GBM: impact of the loss function

Parameter n_iter in scikit-learn's SGDClassifier

What is out-of-fold average?

interpretation of slope estimate of Poisson regression

Expectation of the absolute difference of two i.i.d Normal distributions

Normality distribution and logistic regression

How is the decision boundary's equation determined?

Expectation of a uniform given a value

What's in a name: hyperparameters

Why is standard deviation defined as sqrt(var(x)) and not as abs(X-u)?

Can someone explain what the foldid argument in glmnet does?

Notation - gradients

How can Poisson GLM work with non-count data (rate data)?

Let $X$ be a random variable and $f$ an invertible function. Then the CDF of a random variable $Y=f(X)$ always exists?

Difference between `mle` and `optimize` functions in R

how to choose lambda value while working with elsaticnet package

Interpreting coefficient values in lasso regression

Can I make a linear congruential generator with a lognormal distribution?

How to find factor that is making matrix singular

What do we exactly mean by a biased estimate?

For simple linear regression, is $\beta_1$ linear in $y_i$?

Does XGBoost has anything to do with logistic regression?

Explanation for Additive Property of Variance?

How is logistic regression related to Bernoulli Distribution?