Questions tagged [standardization]
Usually refers to "z-standardization" which is shifting and rescaling data to assure they have zero mean and unit variance. Other "standardizations" are possible, too.
851 questions
3 votes
1 answer
95 views
Standardizing effectsizes in a two-level logistic mixed model with highly unbalanced clusters: advisable? How to compare effect sizes?
I’m fitting a two-level logistic mixed model with a random intercept and only level-1 predictors. The data are highly unbalanced across clusters: 266 observations in 25 clusters with sizes like: ...
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4 votes
1 answer
129 views
Standardization of regression coefficients and standard errors with different outcome variables
With reference to below links, I would like to confirm the following: When the outcome variable is continuous, and is scaled (assume linear model), When the outcome variable is binary (assume ...
0 votes
0 answers
50 views
Standardization after normalising the entire dataset
I am using SVR regression for that i have imported the dataset (which has already been normalized between 0 to 1 and it is a panel data) so while running the regression model i again undertook ...
4 votes
1 answer
169 views
Does standardization of feature vectors in OLS regression change the meaning of the regression coefficients?
I have the ordinary least squares problem $$ \boldsymbol{\beta}^* = \text{argmin}_{\boldsymbol{\beta}} \| \boldsymbol{X}\boldsymbol{\beta} - \boldsymbol{y}\|^2_2, \quad \text{Problem}~(1) $$ with $\...
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1 vote
0 answers
53 views
How do I go about refining my ARX model in R
I face a few issues where im trying to predict my dependent variable Y. I have 6 different independent external variables with one of them being lag(1) of the dependent variable Y. I differenced all ...
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3 votes
1 answer
106 views
Standardizing data in Bayesian optimization
I am implementing a very basic Bayesian optimization algorithm in Matlab. It is generally recommended to standardize both the inputs (sampling points) and the outputs (black-box objective function ...
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1 vote
1 answer
70 views
Is the arithmetic mean appropriate when feature scaling rates?
Certain machine learning algorithms perform better when the features of the dataset have been scaled. In particular, feature standardization (subtracting the mean and dividing by the standard ...
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0 votes
0 answers
52 views
If the main benefit of BatchNorm is loss landscape smoothing, why do we use z-score normalisation instead of min-max?
According to recent papers, the main reason why BatchNorm works is because it smooths the loss landscape. So if the main benefit is loss landscape smoothing, why do we need mean subtraction at all? ...
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0 votes
1 answer
69 views
Standardization of Variables Across Different Analyses
Standardization of Variables I'm conducting a study for my B.S.c. in psychology and need advice about standardizing variables for my analyses. My variables are Optimism, Stress and 4 separate ...
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1 vote
0 answers
42 views
How should I input and output feature and target timeseries to timeseries transformer
I am trying out PatchTST timeseries transformer (paper, code) on a timeseries data that I have. The way PatchTST handles data is as follows: Note that on line 78-79, the repo does following: ...
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0 votes
0 answers
69 views
At what stage of the species distribution modelling to standardize variables and check for collinearity
I try to model the distribution (ecological niche) of a species using a generalized linear model (glm() in R) based on several climatic variables and then apply the ...
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3 votes
1 answer
127 views
Change in data distribution after applying scale() in R
I have a question about changes in distribution after applying scale() in R. If my whole procedure is false, I will happily welcome recommendations, corrections, ...
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2 votes
1 answer
100 views
Comparing logistic regression coefficients
I have data representing a population of individuals and a binary outcome of interest. The covariates themselves are often probabilities. For example, covariates 1 through 5 are an estimate of the ...
3 votes
1 answer
170 views
Interpretation lmer output with z-score standardized coefficients
I've been running lmer() (in the lme4 package) on my data using this formula: ...
- 31
4 votes
2 answers
511 views
Correct way of centering and standardizing data in polynomial regression
I want to build a regression model using lasso regression. My understanding is that I should first scale and center my data (as asked here for example: Need for centering and standardizing data in ...
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