Joint modelling of mental health markers through pregnancy: a Bayesian semi-parametric approach

Journal: Journal of Applied Statistics
Published Date: 2023/01/13
Authors: Feng, S.V., van den Boom, W., De Iorio, M., Thng, G.J., Chan, J.K.Y., Chen, H.Y., Tan, K.H., Kee, M.Z.L.

IS INFINITY THAT FAR? A BAYESIAN NONPARAMETRIC PERSPECTIVE OF FINITE MIXTURE MODELS

Journal: Annals of Statistics
Published Date: 2022/10/01
Authors: Argiento, R., de Iorio, M.

Bayesian dynamic network modelling: an application to metabolic associations in cardiovascular diseases

Journal: Journal of Applied Statistics
Published Date: 2022/09/02
Authors: Molinari, M., Cremaschi, A., De Iorio, M., Chaturvedi, N., Hughes, A., Tillin, T.

Bayesian nonparametric modelling of multiple graphs with an application to ethnic metabolic differences

Journal: Journal of the Royal Statistical Society. Series C: Applied Statistics
Published Date: 2022/05/28
Authors: Molinari, M., Cremaschi, A., De Iorio, M., Chaturvedi, N., Hughes, A.D., Tillin, T.

Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo

Journal: Statistics and Computing
Published Date: 2022/04/23
Authors: van den Boom, W., Jasra, A., De Iorio, M., Beskos, A., Eriksson, J.G.

The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models

Journal: Journal of Computational and Graphical Statistics
Published Date: 2022/04/04
Authors: van den Boom, W., Beskos, A., De Iorio, M.

Bayesian inference on the number of recurrent events: A joint model of recurrence and survival

Journal: Statistical Methods in Medical Research
Published Date: 2021/11/23
Authors: van den Boom, W., De Iorio, M., Tallarita, M.

A Bayesian nonparametric approach to dynamic item-response modeling: An application to the GUSTO cohort study

Journal: Statistics in Medicine
Published Date: 2021/08/19
Authors: Cremaschi, A., De Iorio, M., Seng Chong, Y., Broekman, B., Meaney, M.J., Kee, M.Z.L.