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Pooled Sample Testing with Clustering (For Efficient COVID-19 Screening)

Pantz, Julien - 2020

Testing medical samples is expensive and pooling samples can reduce costs. But what is the optimal setup? What is the optimal pool size? We consider the simplest and most practical pooling technique and demonstrate how the correlation between samples reduces the testing cost and increases the...

Persistent link: https://www.econbiz.de/10014090523

Generating and validating cluster sampling matrices for model-free factor screening

Shi, Wen; Chen, Ao; Xie, Xiang - In: European journal of operational research : EJOR 313 (2024) 1, pp. 241-257

Persistent link: https://www.econbiz.de/10014456556

Sequential stratified sampling

Green, Edward J.; Zhou, Ruilin - 1994

Persistent link: https://www.econbiz.de/10000883192

Equilibrium dynamics of ice streams : a Bayesian statistical analysis

Berliner, L. M.; Cressie, Noel A. C.; Jezek, K.; Kim, Y.; … - In: Statistical methods & applications : SMA ; journal of … 17 (2008) 2, pp. 145-165

Persistent link: https://www.econbiz.de/10003715408

The role of sample size in testing a hypothesis in complex cross-sectional studies : a Monte Carlo simulation study

Serumaga-Zake, P. A. E.; Arnab, R. - In: Tydskrif vir studies in ekonomie en ekonometrie : SEE 32 (2008) 2, pp. 63-68

Persistent link: https://www.econbiz.de/10003773219

Improving MCMC using efficient importance sampling

Liesenfeld, Roman (contributor); … - 2006

This paper develops a systematic Markov Chain Monte Carlo (MCMC) framework based upon Efficient Importance Sampling … solution. EIS is a simple, generic and yet accurate Monte-Carlo integration procedure based on sampling densities which are … MCMC components such as auxiliary sampling densities, normalizing constants and starting values. The potential of this …