13 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Agency for Science, Technology and ResearchSG13 papers
- National University of SingaporeSG9 papers
- University College LondonGB6 papers
- Politecnico di MilanoIT2 papers
- The Alan Turing InstituteGB2 papers
- Bioinformatics InstituteSG1 paper
- Bocconi UniversityIT1 paper
- Decision Sciences (United States)US1 paper
- Duke-NUS Medical SchoolSG1 paper
- Folkhälsans ForskningscentrumFI1 paper
- Illinois CollegeUS1 paper
- Imperial College LondonGB1 paper
13 papers
Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes
Arthur Leroy, Varsha Gupta, Mya Thway Tint +9
Clinicians often investigate the body mass index (BMI) trajectories of children to assess their growth with respect to their peers, as well as to anticipate future growth and disea…
The Multivariate Bernoulli detector: Change point estimation in discrete survival analysis
Willem van den Boom, Maria De Iorio, Fang Qian +1
Time-to-event data are often recorded on a discrete scale with multiple, competing risks as potential causes for the event. In this context, application of continuous survival anal…
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results
Nicholas Sung Wei Yong, Jian Cheng Wong, Pao-Hsiung Chiu +3
The potential of learned models for fundamental scientific research and discovery is drawing increasing attention worldwide. Physics-informed neural networks (PINNs), where the los…
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment
Alexander Mozdzen, Andrea Cremaschi, Annalisa Cadonna +2
Spatio-temporal areal data can be seen as a collection of time series which are spatially correlated according to a specific neighboring structure. Incorporating the temporal and s…
Bayesian clustering of multiple zero-inflated outcomes
Beatrice Franzolini, Andrea Cremaschi, Willem van den Boom +1
Several applications involving counts present a large proportion of zeros (excess-of-zeros data). A popular model for such data is the Hurdle model, which explicitly models the pro…
On a wider class of prior distributions for graphical models
Abhinav Natarajan, Willem van den Boom, Kristoforus Bryant Odang +1
Gaussian graphical models are useful tools for conditional independence structure inference of multivariate random variables. Unfortunately, Bayesian inference of latent graph stru…
Model Selection for Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes
Beatrice Franzolini, Antonio Lijoi, Igor Prünster
Hypertensive disorders of pregnancy occur in about 10% of pregnant women around the world. Though there is evidence that hypertension impacts maternal cardiac functions, the relati…
Bayesian Learning of Graph Substructures
Willem van den Boom, Maria De Iorio, Alexandros Beskos
Graphical models provide a powerful methodology for learning the conditional independence structure in multivariate data. Inference is often focused on estimating individual edges…
The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models
Willem van den Boom, Alexandros Beskos, Maria De Iorio
Gaussian graphical models can capture complex dependency structures among variables. For such models, Bayesian inference is attractive as it provides principled ways to incorporate…
Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo
Willem van den Boom, Ajay Jasra, Maria De Iorio +2
Markov chain Monte Carlo (MCMC) is a powerful methodology for the approximation of posterior distributions. However, the iterative nature of MCMC does not naturally facilitate its…
Bayesian inference on the number of recurrent events: A joint model of recurrence and survival
Willem van den Boom, Maria De Iorio, Marta Tallarita
The number of recurrent events before a terminating event is often of interest. For instance, death terminates an individual's process of rehospitalizations and the number of rehos…
Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of Hybrid Diffusion Imaging based on BFOR Signal Basis
Jia Du, A. Pasha Hosseinbor, Moo K. Chung +4
We propose a large deformation diffeomorphic metric mapping algorithm to align multiple b-value diffusion weighted imaging (mDWI) data, specifically acquired via hybrid diffusion i…
ExprTarget: An Integrative Approach to Predicting Human MicroRNA Targets
Eric R. Gamazon, Hae-Kyung Im, Shiwei Duan +4
We developed an online database, ExprTargetDB, of human miRNA targets predicted by an approach that integrates gene expression profiling into a broader framework involving importan…