Questions tagged [non-parametric]
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10
questions
0
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1answer
55 views
The distribution of dataset train and test are the differents, how to fix this?
I am new in data science and like some help to understand my problem. For instance, I have two signals non-stationary for the same condition (figure 1).
I acquisition them at different times(in the ...
5
votes
3answers
302 views
Should features be correlated or uncorrelated for classification?
I have seen researchers using pearson's correlation coefficient to find out the relevant features -- to keep the features that have a high correlation value with the target. The implication is that ...
0
votes
1answer
30 views
Logic behind the Statement on Non-Parametric models
I am currently reading 'Mastering Machine Learning with scikit-learn', 2E, by Packt. In Lazy Learning and Non-Parametric models topic in Chapter 3- Classification and Regression with k-Nearest ...
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0answers
25 views
Do non-parametric models always overfit without regularization?
Let's scope this to just classification.
It's clear that if you fully grow out a decision tree with no regularization (e.g. max depth, pruning), it will overfit the training data and get full accuracy ...
0
votes
1answer
14 views
pass variable length argument to mstats.kruskalwallis
I am trying to run kruskawallis test on multiple columns of my data for that i wrote an function
...
2
votes
1answer
23 views
Good introductory reference for Bayesian Non-parametric (Dirichlet Process / Chinese Restaurant Process)
I am looking for a recommendation for basic introductory material on Bayesian Non-parametric methods, specifically Dirichlet Process / Chinese Restaurant Process. I am looking for material which ...
1
vote
2answers
63 views
Linear vs Non linear regression (Basic Beginner)
So my doubt is basically in Linear regression, We try to fit a straight line or a curve for a given training set. Now, I believe whenever the features (independent variable) increases, parameters also ...
1
vote
1answer
29 views
About confidence/prediction intervals: parametric methods VS non-parametric (via bootstrap) methods
About the methodology to find confidence and/or prediction intervals in, let's say, a regression problem, I know 2 main options:
Checking normality in the estimates/predictions distribution, and ...
1
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0answers
11 views
Non-parametric regression on set of time series: One model for each or one for all series?
Let's say I have a set of 1D time series which values have been samples in equip-distant time steps with timestamps $1,2,3,...$, they have all the same lengths and are somewhat similar in shape. I ...
0
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0answers
33 views
Trying to manually code a spline regression
I've been trying to get this code to work for a spline regression without using built in libraries in R. My code below is resulting in the error
Error in eval(predvars, data, env) : object 'V1' not ...
