On a couple of unresolved group testing conjectures
- MathematicsCommunications in Statistics - Theory and Methods
In the recent review published in 2019, Malinovsky and Albert conjectured analytical formulae of the optimal sample sizes for the modified Dorfman and Sterret group testing schemes and verified the…
Modern Estimation Problems in Group Testing
In the simplest form of group testing, pools are formed by compositing a fixed number of individual specimens (e.g., blood, urine, swab, etc.) and then the pools are tested for a binary…
Probabilistic Search for Tracking Targets: Theory and Modern Applications
- Computer Science
Probabilistic Search for Tracking Targets uses an information-theoretic scheme to present a unified approach for known search methods to allow the development of new algorithms of search to solve the problem of real-time search for both static and moving targets over a discrete space.
Informative Retesting for Hierarchical Group Testing
This paper investigates the impact of acknowledging population heterogeneity on a commonly used group testing procedure known as “halving,” and shows that heterogeneity does not affect the mean number of tests when individuals are randomly assigned to sub-groups, however, it is shown that the proposed procedures reduce the number of Tests by taking advantage of the heterogeneity.
ESTIMATING THE INCIDENCE OF ACUTE HIV INFECTION FROM A SINGLE CROSS-SECTIONAL SAMPLE
This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, as to provide real-time information about concrete mechanical properties such as E-modulus and compressive strength.
Turning privacy leaks into floods: surreptitious discovery of social network friendships and other sensitive binary attribute vectors
- Computer ScienceWPES '10
This work studies methods for attacking the privacy of social networking sites, collaborative filtering sites, databases of genetic signatures, and other data sets that can be represented as vectors of binary relationships using theoretical characterizations as well as experimental tests.
Operating characteristics of group testing algorithms for case identification in the presence of test error
This dissertation research research group testing methodology to help optimize the pooling algorithm used in the STAT program and to assist in extending this innovative approach to other settings or detection of other infectious diseases where the overriding issues are identical but the specific conditions vary considerably.
Optimal group testing strategy for the mass screening of SARS-CoV-2
Modelling the utility of group testing for public health surveillance
- EconomicsInfectious Disease Modelling
Semiparametric isotonic regression modelling and estimation for group testing data
- MathematicsThe Canadian journal of statistics = Revue canadienne de statistique
An expectation-maximization algorithm is developed to overcome the computational challenge and embed the pool-adjacent violators algorithm in the M-step to facilitate the computation of semiparametric isotonic regression models.