# All Questions

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4 views

### Using S statistic in place of Cohen's Kappa: R code provided

This article proposes a new statistic called $S$ statistic to replace Cohen's Kappa. I know I can compute KAPPA for each category using the R function below. But ...
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### Correct Estimator for Path Analysis/SEM Using Categorical Covariate

I'm currently building a path analysis model with model-based corrections for measurement error, using a latent variable structural equation model (i.e., each observed variable serves as a single ...
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### How to fit a Linear Regression model with linearly related predictor variables

I have three predictor variables x,y and z and a outcome variable "grade". The three predictor variable are linearly related (x+y+z=1). When I fit a linear regression model using these variables, I ...
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### Overlapping training data windows for classification

I have a data set that represents snapshots of user behavior over a fixed window length $l$ and attempts to classify the user into one of $k$ groups. With language models it seems like it's fair ...
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### Multi feature matching

this might be a really intro question, But if I have two dataframes like: ...
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### Testing significance: single population, two-sample unpaired data

I am looking to test the significance of a training/ education program of home building construction. I am working with unpaired data of a dependent sample and am unsure how to proceed. Since the ...
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### Is term “metric” for evaluating machine learning model misnomer?

Term "metric" is used in many popular machine learning articles [1, 2] for describing an evaluation criterium of the performance of a model. Although, mathematically is the term defined as: In ...
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### Legitimacy of Regressing Actual Values on Predicted Values for Better Residual Sum of Squares?

A coworker of mine recently performed an analysis where after training a simple linear model, he regressed the actual Y values against his model's predicted Y values, and applied this regression's ...
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### How do two of my Wilcoxon signed rank tests have the same p-values?

I'm running a statistical analysis where I'm comparing land surface temperature in matched equal sized areas (project areas and control areas) of different cities. In each city, I do it for two ...
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### When assessing normality from a QQ-plot, can we use r (lin. cor. coeff.) to do so?

When assessing normality from a QQ-plot, I see online that many sources compare the linearity by plotting a straight line through the two points of intersection of quantiles 1 and 3. But does it also ...
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### Feature Extraction, Moving window approach [on hold]

I am new to the ML and I only have the strongest will power to learn it. Question: I have the time series data and I want to approach the ML algorithm by extracting features, I didn't choose the ...
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### Evaluation of predictions: How to combine significances of different distributions?

The question: I have 100 different distributions of 24 values each. Now out of those 100 distributions my predictor selects 1 of those 24 values each. Now I want to test if those 100 selected values ...
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### Product/SKU level time series forecasting [on hold]

Predict demand of product at each outlet for next 6 months 5 – 7 years of sales data at outlet level for each and every brand is available As it is a time series problem we need to design per outlet ...
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### Point estimate options with highly skewed data

(Added regression tag since I think that my question overlaps with that area but not sure. Added transformation tag since I discuss log transformations. Tag recommendations welcome) I would like to ...
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### GBM Models with Correlated Predictors

I am building GBM models in which Predictor A is more highly correlated with my response variable for certain values of A while Predictor B is more highly correlated with my response variable for ...
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### What does this proof mean?

I am self-studying Shai-Shawrts and Shai Ben-David's Understanding Machine Learning book. In chapter 4(Learning via uniform convergence) I have encountered this proof. Can someone explain me the ...
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### Scikit-learn hierarchical clustering threshold

I'm using the scikit-learn module of agglomerative hierarchical clustering to obtain clusters of a three million geographical hexagrid using contiguity constraints and ward affinity. My question is ...
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### Deviation Coding meaning of test statistic on grand mean (intercept)

I have a dataset with 7 factor levels none of which are a reasonable reference group, so I've chosen to set up my GLM (negative binomial) analysis using deviation coding. I've studied this question ...
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### how to estimate hyper-parameters when cross-validating time series forecasting?

I want to evaluate several forecasting methods on the taylor time series using cross-validation. How do I go about selecting the hyper-parameters for the methods? ...
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### Add Absolute Value as a Feature

In a machine learning context, does it make sense to have both a measurement and its absolute value transformation as features? There are already ~120 features in this predictive model (an elastic ...
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### discriminator function in dual Generative adversarial network

I am reading the following article: https://arxiv.org/pdf/1803.00385.pdf On page 3 they explain how the losses for two discriminators (D1 and D2) is determined. D1 separates true upright image from ...
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### Data set with known camera parameters [on hold]

I am looking for a data set containing images of pedestrians/cyclists with static background and given camera calibration information (intrinsic and extrinsic) for a scene. I have already found EPFL ...
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### ANOVA/Chi-square analog to GEE

If repeated measures anova is analogous to random-intercepts regression and regular anova is analogous to multiple linear regression because of the F-statistic. Is GEE logit or GEE poisson or ...
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### Brown-Forsythe Test on Unbalanced Two-Way ANOVA

I am trying to create code in Matlab that runs a Brown-Forsythe test on an unbalanced two-way ANOVA. I am having difficulty figuring out the actual math behind this test and how to do it. I have read ...