JSTOR Daily

The Effects of Inference Method, Population Sampling, and Gene Sampling on Species Tree Inferences: An Empirical Study in Slender Salamanders (Plethodontidae: Batrachoseps)

Systematic Biology, Vol. 64, No. 1, SPECIAL ISSUE: MATHEMATICAL AND COMPUTATIONAL EVOLUTIONARY BIOLOGY (2013) (JANUARY 2015), pp. 66-83 (18 pages) Species tree methods are now widely used to infer the ...
GitHub

Bayesian Inference of Neural Tuning Curves with Nested Sampling

This project demonstrates how to simulate and analyze neural tuning curve data using Bayesian inference via nested sampling. It combines theory, code, and visual intuition to explain how posterior ...
JSTOR Daily

Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...
GitHub

Statistical Inference and Sampling Distributions Analysis

This project explores the foundations of statistical inference through sampling distributions, focusing on analyzing public perception of scientific work's benefits using simulated Gallup poll data.
IEEE

Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling

Abstract: Bayesian models and inference is a class of machine learning that is useful for solving problems where the amount of data is scarce and prior knowledge about the application allows you to ...

Advantages of Simple Random Sampling in Research

Discover how simple random sampling ensures accurate and unbiased population research, offering efficiency and fairness over ...
IEEE

An Efficient Sampling-Based SpMM Kernel for Balancing Accuracy and Speed in GNN Inference

Abstract: How to coordinate the design of sampling and Sparse-dense Matrix Multiplication (SpMM) is important in Graph Neural Network (GNN) acceleration. However, existing methods have an imbalance ...