Cross Validated Community Digest

Top new questions this week:

Extreme outlier in real data

I'm looking at the amount of carbon in seven forest pools. For dead trees left on the landscape across many locations and over several harvest retention (logging) treatments, there is an extreme value ...

outliers glmm extreme-value ecology glmmtmb  
user avatar asked by Declan Score of 8
user avatar answered by jginestet Score of 8

Testing binary data for statistical independence

Suppose I have two data samples $\mathbf{x}=(x_1,x_2,..,x_n)$ and $\mathbf{y}=(y_1,y_2,..,y_n)$, where $x_i\in\{0,1\},y_i\in\{0,1\}$, where the entries with the same index are related (e.g., come from ...

hypothesis-testing independence binary-data  
user avatar asked by Roger V. Score of 6
user avatar answered by Rick Hass Score of 9

Why do “good” loss functions in ML need both Lipschitz continuity and smoothness?

I’m trying to understand the common assumptions in machine-learning optimization theory, where a “well-behaved” loss function is often required to be both L-Lipschitz and β-smooth (i.e., have β-...

machine-learning optimization loss-functions gradient-descent  
user avatar asked by Antonios Sarikas Score of 6
user avatar answered by Stephan Kolassa Score of 4

Should I standardize or only center "Age" in an ordinal semiparametric regression model?

I am using Ordinal Semiparametric Regression (Frank Harrell's rms package) to model overall survival in patients with brain tumor. I am thinking of centering the Age covariate, because I want Age = 0 ...

survival standardization centering semiparametric ordinal-regression  
user avatar asked by Çağan Kaplan Score of 4
user avatar answered by Peter Flom Score of 8

Advice on regression approach

How should I handle a mass-point in the dependent variable when running OLS regression in R? I’m working with a a household expenditure dataset (Living Costs 2019) where the dependent variable is the ...

regression r modeling dataset data-imputation  
user avatar asked by Jim Score of 4
user avatar answered by Peter Flom Score of 4

Confidence interval for the parameters of a non-linear model

I am trying to understand how to obtain the confidence interval for a function fitted with scipy.optimize.least_squares. If my understanding is correct, I'd need to take the "Modified Jacobian ...

python confidence-interval nonlinear-regression hessian jacobian  
user avatar asked by opengisapprendice Score of 4
user avatar answered by PBulls Score of 3

Calculating Minimum Detectable Effect (MDE) in observational causal inference with binary outcomes: How to account for covariate adjustment?

I am designing a causal inference analysis using observational data and I am trying to determine the sensitivity of my study design given a fixed sample size. Study Details: Goal: Estimate the Average ...

sample-size causality statistical-power observational-study linear-probability-model  
user avatar asked by TC1 Score of 3
user avatar answered by Peter Flom Score of 1

Greatest hits from previous weeks:

What's the difference between variance and standard deviation?

I was wondering what the difference between the variance and the standard deviation is. If you calculate the two values, it is clear that you get the standard deviation out of the variance, but what ...

variance mathematical-statistics standard-deviation  
user avatar asked by Le Max Score of 181
user avatar answered by Peter Flom Score of 135

Explaining to laypeople why bootstrapping works

I recently used bootstrapping to estimate confidence intervals for a project. Someone who doesn't know much about statistics recently asked me to explain why bootstrapping works, i.e., why is it that ...

bootstrap intuition communication  
user avatar asked by Alan H. Score of 430
user avatar answered by conjugateprior Score of 260

How to 'sum' a standard deviation?

I have a monthly average for a value and a standard deviation corresponding to that average. I am now computing the annual average as the sum of monthly averages, how can I represent the standard ...

standard-deviation descriptive-statistics  
user avatar asked by klonq Score of 103
user avatar answered by Ian Boyd Score of 97

What's the difference between correlation and simple linear regression?

In particular, I am referring to the Pearson product-moment correlation coefficient.

correlation regression  
user avatar asked by Neil McGuigan Score of 106
user avatar answered by Jeromy Anglim Score of 128

Explain the difference between multiple regression and multivariate regression, with minimal use of symbols/math

Are multiple and multivariate regression really different? What is a variate anyways?

regression multiple-regression terminology multivariate-regression  
user avatar asked by Neil McGuigan Score of 102
user avatar answered by chl Score of 72

Amazon interview question—probability of 2nd interview

I got this question during an interview with Amazon: 50% of all people who receive a first interview receive a second interview 95% of your friends that got a second interview felt they had a good ...

probability bayesian conditional-probability  
user avatar asked by Rick Score of 151
user avatar answered by Vincent Gelinas Score of 163

Interpreting Residual and Null Deviance in GLM R

How to interpret the Null and Residual Deviance in GLM in R? Like, we say that smaller AIC is better. Is there any similar and quick interpretation for the deviances also? Null deviance: 1146.1 on ...

generalized-linear-model deviance  
user avatar asked by Anjali Score of 71
user avatar answered by TeresaStat Score of 113

Can you answer these questions?

How to Calculate Sample Size for Likert Scale Test

This question may already have been answered elsewhere, but if so I'm having trouble relating it to what I want to do, so I'm asking it again here. In short, my study involves asking participants to ...

sample-size ordinal-data likert association-measure  
user avatar asked by Alex Fewings Score of 2
user avatar answered by jginestet Score of 0

Repeatability (ICC) for negative binomial and beta models

I am estimating repeatability (a type of intra-class correlation) from mixed models with negative binomial and beta distributions and want to confirm that the variance transformations to obtain ...

negative-binomial-distribution beta-distribution intraclass-correlation brms repeatability  
user avatar asked by alab Score of 1

Differences between equivalent second-order LCA models

I have run a second-order LCA model in Mplus. In the %OVERALLA% , I merely changed "c1 c2 on c" to "c2 c1 on c", which caused changes in the "C Classes (Rows) by C1 Classes (...

structural-equation-modeling latent-class mplus  
user avatar asked by Nomad8 Score of 2
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