Search Results - "Kory D. Johnson"

Robust models of disease heterogeneity and control, with application to the SARS-CoV-2 epidemic by Johnson, Kory D, Grass, Annemarie, Toneian, Daniel, Beiglböck, Mathias, Polechová, Jitka

“…In light of the continuing emergence of new SARS-CoV-2 variants and vaccines, we create a robust simulation framework for exploring possible infection…”
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Disease momentum: Estimating the reproduction number in the presence of superspreading by Johnson, Kory D., Beiglböck, Mathias, Eder, Manuel, Grass, Annemarie, Hermisson, Joachim, Pammer, Gudmund, Polechová, Jitka, Toneian, Daniel, Wölfl, Benjamin

“…A primary quantity of interest in the study of infectious diseases is the average number of new infections that an infected person produces. This so-called…”
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SARS-CoV-2 rapid antigen tests provide benefits for epidemic control – observations from Austrian schools by Polechová, Jitka, Johnson, Kory D., Payne, Pavel, Crozier, Alex, Beiglböck, Mathias, Plevka, Pavel, Schernhammer, Eva

“…This paper motivates and justifies the use of antigen tests for epidemic control as distinct from a diagnostic test. We discuss the relative advantages of…”
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Comment by Brown, Lawrence D, Johnson, Kory D

“…The authors provide a novel and exciting framework for analyzing conditional selection. Formalizing the steps of a selection procedure as constraints on the…”
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Comment by Brown, Lawrence D., Johnson, Kory D.

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Comment by Brown, Lawrence D., Johnson, Kory D.

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Robust models of disease heterogeneity and control, with application to the SARS-CoV-2 epidemic by Kory D. Johnson, Annemarie Grass, Daniel Toneian, Mathias Beiglböck, Jitka Polechová

“…In light of the continuing emergence of new SARS-CoV-2 variants and vaccines, we create a robust simulation framework for exploring possible infection…”
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Discrete methods in statistics: Feature selection and fairness-aware data mining by Johnson, Kory D

“…This dissertation is a detailed investigation of issues that arise in models that change discretely. Models are often constructed by either including or…”
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Redistributor: Transforming Empirical Data Distributions by Harar, Pavol, Elbrächter, Dennis, Dörfler, Monika, Johnson, Kory D

“…We present an algorithm and package, Redistributor, which forces a collection of scalar samples to follow a desired distribution. When given independent and…”
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Adaptive, Distribution-Free Prediction Intervals for Deep Networks by Kivaranovic, Danijel, Johnson, Kory D, Leeb, Hannes

“…The machine learning literature contains several constructions for prediction intervals that are intuitively reasonable but ultimately ad-hoc in that they do…”
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Evidence suggests that SARS-CoV-2 rapid antigen tests provide benefits for epidemic control -- observations from Austrian schools by Polechová, Jitka, Johnson, Kory D, Payne, Pavel, Crozier, Alex, Beiglböck, Mathias, Plevka, Pavel, Schernhammer, Eva

“…Rapid antigen tests detect proteins at the surface of virus particles, identifying the disease during its infectious phase. In contrast, PCR tests detect viral…”
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Robust models of SARS-CoV-2 heterogeneity and control by Johnson, Kory D, Grass, Annemarie, Toneian, Daniel, Beiglböck, Mathias, Polechová, Jitka

“…In light of the continuing emergence of new SARS-CoV-2 variants and vaccines, we create a simulation framework for exploring possible infection trajectories…”
Get full text

Disease Momentum: Estimating the Reproduction Number in the Presence of Superspreading by Johnson, Kory D, Beiglböck, Mathias, Eder, Manuel, Grass, Annemarie, Hermisson, Joachim, Pammer, Gudmund, Polechová, Jitka, Toneian, Daniel, Wölfl, Benjamin

“…A primary quantity of interest in the study of infectious diseases is the average number of new infections that an infected person produces. This so-called…”
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Impartial Predictive Modeling and the Use of Proxy Variables by Johnson, Kory D, Foster, Dean P, Stine, Robert A

“…Fairness aware data mining (FADM) aims to prevent algorithms from discriminating against protected groups. The literature has come to an impasse as to what…”
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Fitting High-Dimensional Interaction Models with Error Control by Johnson, Kory D, Stine, Robert A, Foster, Dean P

“…There is a renewed interest in polynomial regression in the form of identifying influential interactions between features. In many settings, this takes place…”
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Submodularity in Statistics: Comparing the Success of Model Selection Methods by Johnson, Kory D, Stine, Robert A, Foster, Dean P

“…We demonstrate the usefulness of submodularity in statistics as a characterization of the difficulty of the \emph{search} problem of feature selection. The…”
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A Risk Ratio Comparison of $l_0$ and $l_1$ Penalized Regression by Johnson, Kory D, Lin, Dongyu, Ungar, Lyle H, Foster, Dean P, Stine, Robert A

“…There has been an explosion of interest in using $l_1$-regularization in place of $l_0$-regularization for feature selection. We present theoretical results…”
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