49 citations · 92 across the 7 of their papers we have counts for
7 papers
A stochastic network approach to clustering and visualising single-cell genomic count data
Thomas E. Bartlett, Swati Chandna, Sandipan Roy
Important tasks in the study of genomic data include the identification of groups of similar cells (for example by clustering), and visualisation of data summaries (for example by…
Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy +6
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we…
Hedging parameter selection for basis pursuit
Stephane Chretien, Alex Gibberd, Sandipan Roy
In Compressed Sensing and high dimensional estimation, signal recovery often relies on sparsity assumptions and estimation is performed via -penalized least-squares optimiz…
Multiple Changepoint Estimation in High-Dimensional Gaussian Graphical Models
Alex J. Gibberd, Sandipan Roy
We consider the consistency properties of a regularised estimator for the simultaneous identification of both changepoints and graphical dependency structure in multivariate time-s…
Likelihood Inference for Large Scale Stochastic Blockmodels with Covariates based on a Divide-and-Conquer Parallelizable Algorithm with Communication
Sandipan Roy, Yves Atchadé, George Michailidis
We consider a stochastic blockmodel equipped with node covariate information, that is helpful in analyzing social network data. The key objective is to obtain maximum likelihood es…
Change-Point Estimation in High-Dimensional Markov Random Field Models
Sandipan Roy, Yves Atchade, George Michailidis
This paper investigates a change-point estimation problem in the context of high-dimensional Markov Random Field models. Change-points represent a key feature in many dynamically e…