Robin Mitra

According to our database, Robin Mitra authored at least 12 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation.

Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim

CoRR, 2024

Obtaining (ε ,δ )-Differential Privacy Guarantees When Using a Poisson Mechanism to Synthesize Contingency Tables.

James Jackson, Robin Mitra, Brian Francis, Iain Dove

Proceedings of the Privacy in Statistical Databases - International Conference, 2024

2023

Learning from data with structured missingness.

Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris C. Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Rubén J. Sánchez-García, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur

Nat. Mac. Intell., January, 2023

2022

A Framework for Auditable Synthetic Data Generation.

Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch, Owen Daniel, Michaela G. Lawrence, Robin Mitra, Henry Wilde, Callum D. Mole

CoRR, 2022

On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach.

James Jackson, Robin Mitra, Brian Francis, Iain Dove

Proceedings of the Privacy in Statistical Databases - International Conference, 2022

2020

Confidentiality challenges in releasing longitudinally linked data.

Robin Mitra, Stéphanie Blanchard, Iain Dove, Caroline Tudor, Keith Spicer

Trans. Data Priv., 2020

2017

Data privacy preserving scheme using generalised linear models.

Min Cherng Lee, Robin Mitra, Emmanuel Lazaridis, An Chow Lai, Yong Kheng Goh, Wun-She Yap

Comput. Secur., 2017

2016

Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models.

Min Cherng Lee, Robin Mitra

Comput. Stat. Data Anal., 2016

Statistical Disclosure Control for Data Privacy Using Sequence of Generalised Linear Models.

Min Cherng Lee, Robin Mitra, Emmanuel Lazaridis, An Chow Lai, Yong Kheng Goh, Wun-She Yap

Proceedings of the Information Security and Privacy - 21st Australasian Conference, 2016

2015

Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets.

Sana Rashid, Robin Mitra, Russell J. Steele

Comput. Stat. Data Anal., 2015

2009

Estimating Risks of Identification Disclosure in Partially Synthetic Data.

Jerome P. Reiter, Robin Mitra

J. Priv. Confidentiality, 2009

2006

Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data.

Robin Mitra, Jerome P. Reiter

Proceedings of the Privacy in Statistical Databases, 2006