Cross Validated Questions, Problems & Solutions : TransWikia.com ~ Page 45

How to determine the expected chi^2 value?

My advisor is able to determine that a chi^2 value will be near 30 in this particular circumstance. I calculated a chi^2 for a dataset and fitted line to be...

Asked on 11/02/2021

1 answer

Is this problem related to statistical inference from two population parameters? If so, why does my approach not give the right answer?

What I tried was use the statisticz = pbar1 - pbar2 +- z...

Asked on 11/02/2021 by Shyam Kumar Mangayil

1 answer

Do we need hypothesis testing when we have all the population?

From what I understand hypothesis testing is done to identify if a finding in the sample population is statistically significant. But if I have a census data, do we really...

Asked on 11/02/2021 by Siddhi Kiran Bajracharya

7 answer

How do decision trees in random forests handle conflicts?

Let's say our input elements (training data) are 6 people with three attributes, Height, Weight, and Gender, and we are predicting if that person will have cancer or not (boolean...

Asked on 11/02/2021 by Fuad

1 answer

Combining class priors with discriminative methods

Say we want to build a classifier for a binary classification problem using a discriminative method (e.g. SVM) and be able to impose a prior on the classes. For example,...

Asked on 11/02/2021

1 answer

Fatality Rate for SARS-CoV-2

I am sure many people have been reviewing the data about the SARS-CoV-2 epidemic. One of my main sources is at Worldometer. My question is geared toward...

Asked on 11/02/2021 by dsmalenb

2 answer

Multi-class classification with prior knowledge of class similarity?

BackroundsI would like to build a model that predicts a month label $mathbf{y}$ from a given set of features $mathbf{X}$. Data structure is as follows.$mathbf{X} : N_{samples}...

Asked on 11/02/2021

1 answer

Relationship between overfitting and robustness to outliers

What's the relationship between overfitting and sensitivity to outliers? For example:Does robustness to outliers make necessarily models less prone to overfitting?What about the other way around? Are models that are...

Asked on 11/02/2021

4 answer

Reconstruction Error: Principal component analysis vs Probabilistic prinicpal component analysis

I am working through the book "Machine Learning: A Probabilistic Perspective". After introducing PCA and Probabilistic PCA, the following graphic is shown (the upper two graphics correspondend to PCA and...

Asked on 11/02/2021 by user290388

2 answer

Role of misspecification by biased data in the generalization error

I am confused with the role that model misspecification plays in the generalization error, in particular when the misspecification is due to a biased (non representative) training dataset. To clarify...

Asked on 11/02/2021 by synack

1 answer

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