Questions tagged [non-parametric]

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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...