Artikel mit Open-Access-Mandaten - Stephen E Fienberg 1942-2016Weitere Informationen
Nicht verfügbar: 1
Authors’ response to comments on fitting science into legal contexts: assessing effects of causes or causes of effects?
AP Dawid, DL Faigman, SE Fienberg
Sociological Methods & Research 43 (3), 416-421, 2014
Mandate: John D. and Catherine T. MacArthur Foundation
Verfügbar: 18
A survey of statistical network models
A Goldenberg, AX Zheng, SE Fienberg, EM Airoldi
Foundations and Trends® in Machine Learning 2 (2), 129-233, 2010
Mandate: US National Institutes of Health
Privacy for free: Posterior sampling and stochastic gradient monte carlo
YX Wang, S Fienberg, A Smola
International Conference on Machine Learning, 2493-2502, 2015
Mandate: National Research Foundation, Singapore
Privacy-preserving data sharing for genome-wide association studies
C Uhlerop, A Slavković, SE Fienberg
The Journal of privacy and confidentiality 5 (1), 137, 2013
Mandate: US National Institutes of Health
Scalable privacy-preserving data sharing methodology for genome-wide association studies
F Yu, SE Fienberg, AB Slavković, C Uhler
Journal of biomedical informatics 50, 133-141, 2014
Mandate: US National Institutes of Health, Wellcome Trust
Self-correction in science at work
B Alberts, RJ Cicerone, SE Fienberg, A Kamb, M McNutt, RM Nerem, ...
Science 348 (6242), 1420-1422, 2015
Mandate: Howard Hughes Medical Institute
Forensic bitemark identification: weak foundations, exaggerated claims
MJ Saks, T Albright, TL Bohan, BE Bierer, CM Bowers, MA Bush, PJ Bush, ...
Journal of Law and the Biosciences 3 (3), 538-575, 2016
Mandate: US National Science Foundation
Learning with differential privacy: Stability, learnability and the sufficiency and necessity of ERM principle
YX Wang, J Lei, SE Fienberg
Journal of Machine Learning Research 17 (183), 1-40, 2016
Mandate: US National Science Foundation, National Research Foundation, Singapore
Statistical inference in a directed network model with covariates
T Yan, B Jiang, SE Fienberg, C Leng
Journal of the American Statistical Association 114 (526), 857-868, 2019
Mandate: National Natural Science Foundation of China, UK Engineering and Physical …
Fitting science into legal contexts: assessing effects of causes or causes of effects?
AP Dawid, DL Faigman, SE Fienberg
Sociological Methods & Research 43 (3), 359-390, 2014
Mandate: John D. and Catherine T. MacArthur Foundation
From statistical evidence to evidence of causality
AP Dawid, M Musio, SE Fienberg
Mandate: Government of Italy, National Research Foundation, Singapore
Bayesian models and methods in public policy and government settings
SE Fienberg
Mandate: US National Institutes of Health
Population size estimation using individual level mixture models
D Manrique‐Vallier, SE Fienberg
Biometrical Journal: Journal of Mathematical Methods in Biosciences 50 (6 …, 2008
Mandate: US National Institutes of Health
Test time feature ordering with FOCUS: Interactive predictions with minimal user burden
K Early, SE Fienberg, J Mankoff
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
Mandate: US National Science Foundation
Integrated methodology for multiple systems estimation and record linkage using a missing data formulation
SE Fienberg, D Manrique-Vallier
AStA Advances in Statistical Analysis 93, 49-60, 2009
Mandate: US National Institutes of Health
Incoherent phylogeographic inference
JO Berger, SE Fienberg, AE Raftery, CP Robert
Proceedings of the National Academy of Sciences 107 (41), E157-E157, 2010
Mandate: US National Institutes of Health
The relevance or irrelevance of weights for confidentiality and statistical analyses
SE Fienberg
Journal of Privacy and Confidentiality 1 (2), 2010
Mandate: US National Institutes of Health
On the causes of effects: Response to Pearl
AP Dawid, DL Faigman, SE Fienberg
Sociological Methods & Research 44 (1), 165-174, 2015
Mandate: John D. and Catherine T. MacArthur Foundation
Comment on" Observational Studies", by William G. Cochran
SE Fienberg
Observational Studies 1 (1), 171-172, 2015
Mandate: National Research Foundation, Singapore
Angaben zur Publikation und Finanzierung werden automatisch von einem Computerprogramm ermittelt