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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 ...
16 views

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 ...
25 views

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 ...
12 views

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 ...
29 views

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 ...
7 views

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 ...