Questions tagged [subsampling]

Subsampling is a resampling procedure akin to the bootstrap in which fewer than all observations are being drawn with replacement (vs. the original sample size used in the textbook bootstrap method). For creating samples out of your existing data, please consider "sampling" tag instead.

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Finding a sub-population from dataset matching another target dataset

Let's say one has a finite collection of i.i.d. samples from an unknown source distribution $S=\{x_{i} | i \in [1,n_{S}], x_{i} \sim p_{X_{S}}(x)\}$. Where each $x$ is multidimensional and has ...
126 views

Is there a resampling method that blends subsampling with the bootstrap?

I apologize if this is an inappropriate question. I thought of it in class the other day, and I couldn't find a specific answer in my textbooks. I am familiar with the two basic techniques for ...
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Subsample analysis based on country-level indices?

In a generalized Difference-in-Difference setting from Dasgupta,2019 for multiple event dates (laws staggered implementation) The baseline equation: $Y_{it}$ = $\alpha$ + $\beta$ $(Leniency Law)_{kt}$ ...
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Subsampling the "right" amout of data to train an ML model

I am training a machine learning model (i.e., a classifier) on a large dataset. I know that I can get the same results using less data (about 30%) but I would like to avoid the trial and error process ...
797 views

Formal method to find optimal sub-sample size from large sample for multiple regression

I have labour market data for 9 million observations, for a single time period (i.e cross-section data). I am studying the determinant of wages in a single equation multiple regression with around 300 ...
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Knowing when to stop with spatial point thinning -- is an approach with Clark-Evans test valid?

I need a random sample of presence points from the species' area to use in distribution modeling. I have an excessive amount of spatially clustered presence records, so I use minimum nearest neighbor ...
30 views

Combining Sub-Samples for Factor Analysis?

I am a newbie on the site and a relative newbie to some of the analysis I am trying, so my apologies in advance for any rookie mistakes or for asking what might be obvious to others! Can I run a ...
58 views

Speed Up KNN and Maintaining Accuracy for Anomaly Detection

This question is about using KNN in the context of anomaly detection. If the training dataset is large(10 M data points), KNN will be slow. Is subsampling(i.e. use a small subset of original training ...