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matteo
  • Member for 9 years, 3 months
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34 votes
Accepted

When to use a GAM vs GLM

21 votes

R - lmer vs glmer

9 votes

What are neurons in neural networks / how do they work?

9 votes
Accepted

Expected value of simple normal distribution with non-zero mean

7 votes
Accepted

How to generate random data, that's from Beta distribution with specific density function in R?

6 votes
Accepted

For what types of research designs should (Days|Subject) vs. (1|Days:Subject) random effect specification be used?

6 votes

How to interpret $\mathbb{P}(B|A)$ when $\mathbb{P}(A) = 0$

5 votes

Problem understanding the interaction term of mixed effects model

5 votes

How to interpret results of GLM logistic regression?

4 votes

In what instance would r, R, and β be the same?

4 votes

pwr.anova.test : increasing power, decreases sample size?

4 votes
Accepted

Interpretation of coefficients in linear regression of data in repeated measure

4 votes
Accepted

Illustration of response variable plane in multiple linear regression with 2 regressors

4 votes

Modeling reaction time with glmer

4 votes
Accepted

Maximal model for linear mixed-effects model for repeated mesaures design

4 votes
Accepted

Why is an ROC curve TPR (Y) against FPR (X)?

3 votes
Accepted

Calculating the mean analytically in R

3 votes

Estimating Parameters using MLE

3 votes

find peaks from response signal

3 votes

How to normalize data between 0 and 1?

3 votes

Confidence intervals of bounded variable

2 votes

Expectation of winning numbers on lottery ticket

2 votes

Distribution comparison by AIC

2 votes
Accepted

How to model this mixed model

2 votes
Accepted

Bootstrapping with more than one random effect

2 votes

How to identify outliers in a ratio X/Y where Y is a frequency, and thus implies a confidence?

2 votes

Estimate an error bound for an estimate

2 votes
Accepted

Correct or not? Mixed Bayes' Rule - Noisy Communication

2 votes

M-estimation for regression

2 votes
Accepted

What do the thresholds on x and y axis of ROC curve represent?