Fetching the paper…
Reading the bibliography…
When the infection prevalence of a disease is low, Dorfman showed 80 years ago that testing groups of people can prove more efficient than testing people individually.
The detection of defective members of large populations
R. Dorfman · 1943
Earlier work this paper cites.
On a measure of the information provided by an experiment
D. V. Lindley · 1956
Earlier work this paper cites.
Group testing to eliminate efficiently all defectives in a binomial sample
M. Sobel and P. A. Groll · 1959
Earlier work this paper cites.
A method for detecting all defective members in a population by group testing
F. K. Hwang · 1972
Earlier work this paper cites.
A generalized binomial group testing problem
FK Hwang · 1975
Earlier work this paper cites.
The separating property of random matrices
M. B. Malyutov · 1978
Earlier work this paper cites.
Planning of screening experiments for a nonsymmetric response function
M. B. Malyutov and P. S. Mateev · 1980
Earlier work this paper cites.
Reverend Bayes on inference engines: A distributed hierarchical approach
J. Pearl · 1982
Earlier work this paper cites.
Random multiple-access communication and group testing
T. Berger, N. Mehravari, D. Towsley, and J. Wolf · 1984
Earlier work this paper cites.
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
S. Geman and D. Geman · 1984
Earlier work this paper cites.
Born again group testing: Multiaccess communications
J. Wolf · 1985
Earlier work this paper cites.
A computer program for the design of group testing experiments
T. J. Mitchell and D. S. Scott · 1987
Earlier work this paper cites.
Elements of Information Theory
T.M. Cover and J.A. Thomas · 1990
Earlier work this paper cites.
Bayesian experimental design: a review
K. Chaloner and I. Verdinelli · 1995
Earlier work this paper cites.
A comparative survey of non-adaptive pooling designs
D. J. Balding, W. J. Bruno, D. C. Torney, and E. Knill · 1996
Earlier work this paper cites.
Peskun’s theorem and a modified discrete-state Gibbs sampler
J.S. Liu · 1996
Earlier work this paper cites.
Combinatorial Group Testing and Its Applications , volume 12
D. Du, F. K. Hwang, and F. Hwang · 2000
Cited alongside, same era.
A survey on combinatorial group testing algorithms with applications to dna library screening
H. Q. Ngo and D.-Z. Du · 2000
Cited alongside, same era.
A group testing method for finding patterns in data
A. J. Macula and L. J. Popyack · 2004
Cited alongside, same era.
What’s hot and what’s not: tracking most frequent items dynamically
G. Cormode and S. Muthukrishnan · 2005
Cited alongside, same era.
Optimal two-stage algorithms for group testing problems
A. De Bonis, L. Gasieniec, and U. Vaccaro · 2005
Cited alongside, same era.
Sequential Monte Carlo samplers
P. Del Moral, A. Doucet, and A. Jasra · 2006
Cited alongside, same era.
Sequential Monte Carlo on large binary sampling spaces
C. Schäfer and N. Chopin · 2013
Later among the works it cites.
Non-adaptive group testing: Explicit bounds and novel algorithms
C. L. Chan, S. Jaggi, V. Saligrama, and S. Agnihotri · 2014
Later among the works it cites.
Parallel feature selection inspired by group testing
Y. Zhou, U. Porwal, C. Zhang, H. Q. Ngo, X. Nguyen, C. Ré, and V. Govindaraju · 2014
Later among the works it cites.
Asymptotics of fingerprinting and group testing: Tight bounds from channel capacities
T. Laarhoven · 2015
Later among the works it cites.
A review of modern computational algorithms for Bayesian optimal design
E.G. Ryan, C.C. Drovandi, J.M. McGree, and A.N. Pettitt · 2016
Later among the works it cites.
Phase transitions in group testing
J. Scarlett and V. Cevher · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
poolhits: A shifted transversal design based pooling strategy for high-throughput drug screening
R. M. Kainkaryam and P. J. Woolf · 2008
Cited alongside, same era.
Pattern matching with don’t cares and few errors
R. Clifford, K. Efremenko, E. Porat, and A. Rothschild · 2010
Cited alongside, same era.
Note on noisy group testing: Asymptotic bounds and belief propagation reconstruction
D. Sejdinovic and O. Johnson · 2010
Cited alongside, same era.
Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms
C. L. Chan, P. H. Che, S. Jaggi, and V. Saligrama · 2011
Cited alongside, same era.
Group testing meets traitor tracing
P. Meerwald and T. Furon · 2011
Cited alongside, same era.
Group testing with random pools: Optimal two-stage algorithms
M. Mézard and C. Toninelli · 2011
Cited alongside, same era.
The capacity of Bernoulli nonadaptive group testing
M. Aldridge · 2017
Later among the works it cites.
Novel impossibility results for group-testing
A. Agarwal, S. Jaggi, and A. Mazumdar · 2018
Later among the works it cites.
Near-optimal noisy group testing via separate decoding of items
J. Scarlett and V. Cevher · 2018
Later among the works it cites.
Group testing: an information theory perspective
M. Aldridge, O. Johnson, and J. Scarlett · 2019
Later among the works it cites.
Variational bayesian optimal experimental design
Adam Foster, Martin Jankowiak, Elias Bingham, Paul Horsfall, Yee Whye Teh, Thomas Rainforth, and Noah Goodman · 2019
Later among the works it cites.
Noisy adaptive group testing: Bounds and algorithms
J. Scarlett · 2019
Later among the works it cites.
Pool-Testen von SARS-CoV-2 Proben erhöht Testkapazität
E. Seifried and S. Ciesek · 2020
Closest in time.
Estimating false-negative detection rate of SARS-CoV-2 by RT-PCR
P. Wikramaratna, R.S. Paton, M. Ghafari, and J. Lourenco · 2020
Closest in time.
Evaluation of COVID-19 RT-qPCR test in multi-sample pools
I Yelin, N Aharony, Tamar E Shaer, A Argoetti, E Messer, D Berenbaum, E Shafran, A Kuzli, N Gandali, O Shkedi, et al · 2020
Closest in time.