Robin Mitra

17 papers C 3Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian modelling and computation utilising directed cycles in multiple network data.
Stat. Comput.
Anastasia Mantziou, Sally A. Keith, David M. P. Jacoby, Simón Lunagómez, Robin Mitra
2025 J jnl
How Deep is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation.
IEEE J. Biomed. Health Informatics
Linglong Qian, Hugh Logan Ellis, Tao Wang, Jun Wang, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
2025 J jnl
Personalized uncertainty quantification in artificial intelligence.
Nat. Mac. Intell.
Tapabrata Chakraborti, Christopher R. S. Banerji, Ariane Marandon, Vicky Hellon, Robin Mitra, Brieuc Lehmann, Leandra Bräuninger, Sarah F. McGough, Cagatay Turkay, Alejandro F. Frangi, Ginestra Bianconi, Weizi Li, Owen J. L. Rackham, Deepak Parashar, Chris Harbron, Ben D. MacArthur
2024 J jnl
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation.
CoRR
Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
2024 C conf
Obtaining (ε ,δ )-Differential Privacy Guarantees When Using a Poisson Mechanism to Synthesize Contingency Tables.
PSD
James Jackson, Robin Mitra, Brian Francis, Iain Dove
2024 J jnl
Obtaining (ε,δ)-differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables.
CoRR
James Jackson, Robin Mitra, Brian Francis, Iain Dove
2023 J jnl
Learning from data with structured missingness.
CoRR
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 R. Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
2023 J jnl
Learning from data with structured missingness.
Nat. Mac. Intell.
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 R. Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
2022 J jnl
A Framework for Auditable Synthetic Data Generation.
CoRR
Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch, Owen Daniel, Michaela G. Lawrence, Robin Mitra, Henry Wilde, Callum D. Mole
2022 C conf
On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach.
PSD
James Jackson, Robin Mitra, Brian Francis, Iain Dove
2020 J jnl
Confidentiality challenges in releasing longitudinally linked data.
Trans. Data Priv.
Robin Mitra, Stéphanie Blanchard, Iain Dove, Caroline Tudor, Keith Spicer
2017 J jnl
Data privacy preserving scheme using generalised linear models.
Comput. Secur.
Min Cherng Lee, Robin Mitra, Emmanuel Lazaridis, An Chow Lai, Yong Kheng Goh, Wun-She Yap
2016 J jnl
Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models.
Comput. Stat. Data Anal.
Min Cherng Lee, Robin Mitra
2016 — conf
Statistical Disclosure Control for Data Privacy Using Sequence of Generalised Linear Models.
ACISP (1)
Min Cherng Lee, Robin Mitra, Emmanuel Lazaridis, An Chow Lai, Yong Kheng Goh, Wun-She Yap
2015 J jnl
Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets.
Comput. Stat. Data Anal.
Sana Rashid, Robin Mitra, Russell J. Steele
2009 J jnl
Estimating Risks of Identification Disclosure in Partially Synthetic Data.
J. Priv. Confidentiality
Jerome P. Reiter, Robin Mitra
2006 C conf
Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data.
Privacy in Statistical Databases
Robin Mitra, Jerome P. Reiter