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user78229
  • Member for 9 years, 1 month
  • Last seen this week
45 votes

Variable selection for predictive modeling really needed in 2016?

30 votes

Why zero correlation does not necessarily imply independence

28 votes

Who invented the decision tree?

18 votes

Feature selection for clustering problems

11 votes

Transforming Data: All variables or just the non-normal ones?

11 votes

Sample size and coefficient of variation

10 votes

Measure of volatility for time series data?

10 votes

Is p-value essentially useless and dangerous to use?

9 votes

What scientific field(s) studies how people interpret quantitative summaries and visualizations?

9 votes

How to deal with perfect separation in logistic regression?

9 votes
Accepted

Sequential pattern matching in time series data

9 votes

Is a high $R^2$ ever useless?

9 votes
Accepted

A data set with missing values in multiple variables

9 votes

Statistical Analysis on Sparse data?

9 votes

Free statistical textbooks

9 votes

Variable Selection Techniques for Multivariate Multiple Regression

8 votes

Is the bootstrap useless in a Bayesian setting?

8 votes
Accepted

Is there any limitation for the number of categories in Multinomial logistic regression?

7 votes

Binary classification with strongly unbalanced classes

7 votes

What are variable importance rankings useful for?

7 votes

Number of Phones in a word: Numerical or Categorical Data?

7 votes
Accepted

Looking for advice regarding model selection for forecasting (dynamic?) panel data

7 votes
Accepted

How to manage categorical variable with MANY categories

6 votes
Accepted

How to model positive S-shaped-function?

6 votes

If the mean and median underestimate the true central tendency, why use them?

6 votes

Understanding which features were most important for logistic regression

6 votes

Adaptive Boosting vs. SVM

6 votes

Calculating relative importance of predictors in a poisson glm model

6 votes

Regression for power law

6 votes

What is the purpose of row normalization

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