# All Questions

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### Lasso regression prediction on test set is predicting towards the mean of the train set?

I am using lasso regression to predict age (continuous data) from a set having 2112 numeric features (indepedent variable). The training dataset contains around 2773 participants. The mean of that ...
• 101
3 views

### Is the sum of two singulars covariance matrices is also singular?

I have two sample covariance matrices, computed from n samples, less than p variables, they are singulars then. I know that the sum of two covariance matrices is also a covariance matrix. My question ...
8 views

### Is there a way of comparing/ evaluating a machine learning model with a recurrent model with a statistical significance test?

Comparing two different machine learning models (to assess if the difference between the mean performance is real or not using P-value and t-Statistic) is possible and strait forward in Python. ...
5 views

### Uplift modeling with targeted experimental data

I am trying to set up a marketing campaign for cross-selling purposes of a specific product. Since the campaign has already been launched on a subset of customers, based on certain characteristics ...
• 11
5 views

### Making inferences on BLUPs/conditional means from multilevel model

We're currently running a conjoint experiment in 26 countries with 2000 participants per country and would like to use a multilevel model. We've done up most of the pre analysis plan and run some ...
2 views

### Replicating a study with a discrete dependent variable in linear mixed effects model (1-4 scores)

As the title says, I want to replicate a study that runs linear mixed effects models with a dependent variable that is discrete, with scores from 1 to 4. So, I have two main questions about that. 1 ) ...
11 views

### Why residuals are so large?

My aim is to see if there exists a relation between the variables "Category" and "Types", spec. if there is a tendency for a particular category to use a particular type. These are ...
15 views

### Exists an option to avoid reference categories in logistic regression?

I was wondering if there exists an option to avoid reference classes in logistic regression by transformation estimaters (especially the intercept)? Normally the intercept contains the information of ...
• 155
1 vote
18 views

### Transforming OLS coefficients to beta weights

Ordinal logistic regression analysis result in coefficients which are log odds, and not b or beta weights, like in a linear regression. For example: How can I compare the log odds of the DVs? Is it ...
• 195
19 views

### how can I do this hypothesis test without assuming normal distribution

the question is attached, I am thinking of using t-distribution to test it...
1 vote
6 views

### Preforming backward pass in network with batch normalization

if we have a network model like this: input_layer (linear) [0] hidden_layer (linear) [1] batchnorm1d() [2] output_layer(linear) [3] When preforming a backward pass would you caldulate $$\delta^3$$ ...
• 11
7 views

### Ideal Settings for Longitudinal Models?

The way I see it, logically speaking - Longitudinal Data (e.g. medical patients being measured repeatedly over a period of time) can have one of two forms: Case 1: All observations are measured ...
• 5,728
1 vote
15 views

### Forecasting using regression coefficients

I have a regression-based model that is trained on market-level data that I'd like to use to make predictions on submarket level observations. For example, I fit the following model on market level ...
• 490
6 views

### how to determine the appropriate form of test-statistic when central limit theorem is used

I have a research and a report about the stated topic above. Can you kindly help me and provide me more information about it? Thank you very much.
7 views

### References for cross-validation implementations in Pytorch

I'm interested in good references on cross-validation implementations for feed-forward neural networks in pytorch from scratch. Thanks in advance.
3 views

### Comparison of multi-output binary classification tasks versus separate network for each of the binary tasks in terms of accuracy/AUC

If I have 5 separate binary classifiers that are using a pre-trained Inception V3 each separately would it provide less accurate results if I modify an inception V3 to create multi-output results as ...
• 514