Results 11 to 20 of about 450,635 (335)

Synthesizing Familial Linkages for Privacy in Microdata

The Journal of Privacy and Confidentiality, 2023
As the Census Bureau strives to modernize its disclosure avoidance efforts in all of its outputs, synthetic data has become a successful way to provide external researchers a chance to conduct a wide variety of analyses on microdata while still ...
Gary Benedetto, Evan Totty
doaj   +3 more sources

The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census [PDF]

Science Advances, 2021
New Census privacy protections may introduce both bias and noise into redistricting and voting rights analysis.
Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, K. Imai   +5 more
semanticscholar   +1 more source

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss [PDF]

AAAI Conference on Artificial Intelligence, 2017
In the era of end-to-end deep learning, many advances in computer vision are driven by large amounts of labeled data. In the optical flow setting, however, obtaining dense per-pixel ground truth for real scenes is difficult and thus such data is rare.
Simon Meister, Junhwa Hur, S. Roth
semanticscholar   +1 more source

phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

PLoS ONE, 2013
Background The analysis of microbial communities through DNA sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing.
Paul J. McMurdie, S. Holmes
semanticscholar   +1 more source

A multimodal cell census and atlas of the mammalian primary motor cortex

Nature, 2020
Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN).
Ricky S. Adkins, Andrew I. Aldridge, Shona Allen, S. Ament, Xu An, Ethan J. Armand, G. Ascoli, Trygve E Bakken, A. Bandrowski, Samik Banerjee, Nikolaos Barkas, Anna Bartlett, Helen S. Bateup, M. Behrens, Philipp Berens, J. Berg, Matteo Bernabucci, Yves Bernaerts, Darren Bertagnolli, Tommasso Biancalani, Lara Boggeman, A. S. Booeshaghi, Ian Bowman, H. C. Bravo, C. Cadwell, E. Callaway, Benjamin Carlin, Carolyn O’Connor, Robert Carter, Tamara Casper, R. Castanon, J. Castro, Rebecca K. Chance, Apaala Chatterjee, Huaming Chen, J. Chun, C. Colantuoni, J. Crabtree, H. Creasy, Kirsten Crichton, M. Crow, Florence D. D'Orazi, T. Daigle, R. Dalley, N. Dee, Kylee Degatano, B. Dichter, D. Diep, Liya Ding, S. Ding, Bertha Dominguez, Hong-wei Dong, Weixiu Dong, Elizabeth L. Dougherty, S. Dudoit, J. Ecker, Stephen W. Eichhorn, Rongxin Fang, Victor Felix, G. Feng, Zhao Feng, Stephan Fischer, Conor Fitzpatrick, Olivia Fong, Nicholas N. Foster, William Galbavy, J. Gee, Satrajit S. Ghosh, M. Giglio, Tom Gillespie, J. Gillis, Melissa Goldman, Jeff Goldy, H. Gong, Lin Gou, M. Grauer, Y. Halchenko, Julie A. Harris, L. Hartmanis, Joshua T. Hatfield, M. Hawrylycz, Brian Helba, Brian R. Herb, R. Hertzano, Houri Hintiryan, Karla E. Hirokawa, D. Hockemeyer, R. Hodge, Greg Hood, G. Horwitz, Xiaomeng Hou, Lijuan Hu, Qiwen Hu, Z. J. Huang, Bingxing Huo, Tony Ito-Cole, Matthew Jacobs, Xueyan Jia, Shengdian Jiang, Tao Jiang, Xiaolong Jiang, Xin Jin, Nikolas L. Jorstad, B. Kalmbach, Jayaram Kancherla, C. Keene, Kathleen Kelly, Farzaneh Khajouei, P. Kharchenko, Gukhan Kim, A. Ko, D. Kobak, K. Konwar, Daniel J. Kramer, Fenna M. Krienen, Matthew Kroll, Xiuli Kuang, H. Kuo, B. Lake, Rachael Larsen, K. Lathia, S. Laturnus, Angus Y. Lee, Cheng-Ta Lee, Kuo-Fen Lee, E. Lein, Phil Lesnar, Anan Li, Xiangning Li, Xu Li, Y. Li, Yaoyao Li, Yuanyuan Li, B. Lim, S. Linnarsson, Christine S. Liu, Hanqing Liu, Lijuan Liu, J. Lucero, C. Luo, Qingming Luo, Evan Z. Macosko, A. Mahurkar, M. Martone, K. Matho, S. Mccarroll, Carrie McCracken, D. McMillen, Elanine Miranda, P. Mitra, P. A. Miyazaki, J. Mizrachi, Stephanie Mok, E. Mukamel, Shalaka Mulherkar, Naeem M. Nadaf, M. Naeemi, Arun Narasimhan, Joseph R. Nery, Lydia Ng, J. Ngai, T. Nguyen, Lance Nickel, P. Nicovich, Sheng-Yong Niu, Vasilis Ntranos, M. Nunn, Dustin Olley, Joshua Orvis, Julia K. Osteen, P. Osten, Scott F. Owen, L. Pachter, R. Palaniswamy, Carter R. Palmer, Yan Pang, Hanchuan Peng, Thanh Pham, A. Pinto-Duarte, Nongluk Plongthongkum, Olivier B. Poirion, Sebastian Preissl, E. Purdom, Lei Qu, Mohammad S. Rashid, Nora M. Reed, A. Regev, B. Ren, Miao Ren, Christine Rimorin, D. Risso, Angeline C. Rivkin, Rodrigo Muñoz-Castañeda, W. Romanow, A. Ropelewski, Hector Roux de Bézieux, Zongcai Ruan, R. Sandberg, Steven Savoia, F. Scala, Mike Schor, E. Shen, K. Siletti, Jared B. Smith, Kimberly A. Smith, Saroja Somasundaram, Yuanyuan Song, S. Sorensen, David A. Stafford, Kelly Street, J. Sulc, S. Sunkin, Valentine Svensson, Pengcheng Tan, Z. H. Tan, Bosiljka Tasic, C. Thompson, Wei-ping Tian, Timothy L. Tickle, Michael Tieu, J. Ting, A. Tolias, A. Torkelson, Herman Tung, E. D. Vaishnav, K. Van den Berge, Cindy T. J. van Velthoven, C. Vanderburg, M. Veldman, Minh Vu, Wayne Wakeman, Peng Wang, Quanxin Wang, Xinxin Wang, Yimin Wang, Yun Wang, Joshua D. Welch, O. White, Elora W. Williams, Fangming Xie, Peng Xie, Feng Xiong, X. W. Yang, A. Yanny, Zizhen Yao, L. Yin, Yang Yu, Jing Yuan, Hongkui Zeng, Kun Zhang, Meng Zhang, Zhuzhu Zhang, Sujun Zhao, Xuan Zhao, Jingtian Zhou, X. Zhuang, Brian Zingg   +256 more
semanticscholar   +1 more source

Differential Perspectives: Epistemic Disconnects Surrounding the U.S. Census Bureau’s Use of Differential Privacy

Harvard data science review, 2022
: When the U.S. Census Bureau announced its intention to modernize its disclosure avoidance procedures for the 2020 Census, it sparked a controversy that is still underway.
Dan R. Boyd, Jayshree Sarathy
semanticscholar   +1 more source

The Use of Blended Data to Improve Public Assistance Programs: Results from a Partnership between the U.S. Census Bureau, USDA, and State Program Agencies

International Journal of Population Data Science, 2018
The Census Bureau is partnering with state public assistance agencies to acquire program participation data and estimate new statistics that deepen a state’s understanding of program participants and improve outreach efforts to those who are eligible but
Benjamin Cerf, Thomas B Foster, Mark Leach, Rachel Shattuck   +3 more
doaj   +1 more source

Using electronic transaction data to add geographic granularity to official estimates of retail sales

Journal of Big Data, 2019
Introduction Economists are interested in more granular, more frequent data to aid in their understanding of the U.S. economy. The most frequent economic data currently available from the U.S.
Brian Dumbacher, Darcy Steeg Morris, Carma Hogue   +2 more
doaj   +1 more source

The census of 1901 [PDF]

Public Health, 1900
n ...
Royal Statistical Society,, Giffen, R.
openaire   +3 more sources

Optimal AK composite estimators in current population survey

Statistical Theory and Related Fields, 2017
The Current Population Survey (CPS) is a monthly household sample survey with a sample consisting of eight rotation groups. Sampled individuals of a rotation group are interviewed four consecutive months and another four consecutive months after resting ...
Yang Cheng, Jun Shao, Zhou Yu
doaj   +1 more source