The aim of this tutorial is to enable the participants to learn how to use the R package “SamplingStrata” in order to optimize the design of stratified samples. The package offers an approach for the ...
This repository contains a self-contained slide presentation explaining Thompson Sampling (TS), one of the most influential algorithms for solving the multi-armed bandit problem. It is designed to be ...
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Abstract: Thompson sampling is an algorithm for online decision problems where actions are taken sequentially in a manner that must balance between exploiting what is known to maximize immediate ...
With increasingly efficient columns, eluite peaks are increasingly narrower. To take full advantage of this, choice of the detector response time and the data acquisition rate a.k.a. detector sampling ...
Excited to share our recent publication on Gaussian Process (GP) sampling. In this work, we provide a clear and practical tutorial on sampling from Gaussian Processes, aiming to make these methods ...
Sampling distribution is used to find sample statistic and based on sample statistic we can draw inference about the population parameter. In this tutorial, we will understand the process of sampling ...
Abstract: The sampling noise is a fundamental issue that limits the energy efficiency of analog-to-digital converters (ADCs). This brief gives a tutorial on the emerging sampling noise mitigation ...
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