Artiklar med krav på offentlig åtkomst - James JohndrowLäs mer
Inte tillgängliga någonstans: 2
The Hastings algorithm at fifty
DB Dunson, JE Johndrow
Biometrika 107 (1), 1-23, 2020
Krav: US National Science Foundation
Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model
DA Buch, JE Johndrow, DB Dunson
Biometrics 79 (4), 2987-2997, 2023
Krav: US National Institutes of Health
Tillgängliga någonstans: 15
Scalable approximate MCMC algorithms for the horseshoe prior
J Johndrow, P Orenstein, A Bhattacharya
Journal of Machine Learning Research 21 (73), 1-61, 2020
Krav: US National Science Foundation
MCMC for imbalanced categorical data
JE Johndrow, A Smith, N Pillai, DB Dunson
Journal of the American Statistical Association, 2019
Krav: US National Science Foundation, US National Institutes of Health, Natural …
Tensor decompositions and sparse log-linear models
JE Johndrow, A Bhattacharya, DB Dunson
Annals of statistics 45 (1), 1, 2017
Krav: US Department of Defense, US National Institutes of Health
Diagonal orthant multinomial probit models
J Johndrow, D Dunson, K Lum
Artificial intelligence and statistics, 29-38, 2013
Krav: US National Institutes of Health
Limits of epidemic prediction using SIR models
O Melikechi, AL Young, T Tang, T Bowman, D Dunson, J Johndrow
Journal of Mathematical Biology 85 (4), 36, 2022
Krav: US National Science Foundation, US National Institutes of Health
Estimating the number of SARS-CoV-2 infections and the impact of mitigation policies in the United States
J Johndrow, P Ball, M Gargiulo, K Lum
Harvard Data Sci. Rev 10, 2020
Krav: US National Institutes of Health, John D. and Catherine T. MacArthur Foundation
Scalable MCMC for Bayes shrinkage priors
JE Johndrow, P Orenstein, A Bhattacharya
arXiv preprint arXiv:1705.00841, 0162-8828, 2017
Krav: US National Science Foundation
Removing the influence of group variables in high-dimensional predictive modelling
E Aliverti, K Lum, JE Johndrow, DB Dunson
Journal of the Royal Statistical Society Series A: Statistics in Society 184 …, 2021
Krav: US National Institutes of Health, Government of Italy, Arnold Ventures LLC
Theoretical limits of microclustering for record linkage
JE Johndrow, K Lum, DB Dunson
Biometrika 105 (2), 431-446, 2018
Krav: US National Institutes of Health
Low-risk population size estimates in the presence of capture heterogeneity
JE Johndrow, K Lum, D Manrique-Vallier
Biometrika 106 (1), 197-210, 2019
Krav: US National Institutes of Health
Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors
N Biswas, A Bhattacharya, PE Jacob, JE Johndrow
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
Krav: US National Science Foundation
Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment
K Lum, DB Dunson, J Johndrow
Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022
Krav: Arnold Ventures LLC
Forecasting PPE consumption during a pandemic: the case of Covid-19
K Lum, J Johndrow, A Cardone, B Fuchs, CE Cotner, O Jew, RB Parikh, ...
MedRxiv, 2020.08. 20.20178780, 2020
Krav: US National Institutes of Health
Optimal gaussian approximations to the posterior for log-linear models with diaconis–ylvisaker priors
J Johndrow, A Bhattacharya
Krav: US National Science Foundation, US Department of Defense, US National …
Exact limits of inference in coalescent models
JE Johndrow, JA Palacios
Theoretical population biology 125, 75-93, 2019
Krav: US National Institutes of Health
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