Maria De Iorio
researcher (ORCID 0000-0003-3109-0478)
Facts
11 properties- Instance of
- human
- Date of birth
- 1972
- Occupation
- researcher, teacher
- Employer
- University College London[4]
- Educated at
- Duke University[5]
- Award received
- Fellow of the International Society for Bayesian Analysis[7]
- Official website
- iris.ucl.ac.uk[11]
- Doctoral advisor
- Michael L. Lavine[6]
- Family name
- De Iorio[9]
🏷️ Also known as
en Maria De Iorio
🔖 Identifiers · 12
- ISNI
- 0000000078703110
- ORCID iD
- 0000-0003-3109-0478
- VIAF cluster ID
- 16889253
- Library of Congress authority ID
- no2002036282
- GND ID
- 129470341
- DBLP author ID
- 07/362
- DDB person (GND) ID
- 129470341
- Google Knowledge Graph ID
- /g/11g0n7c55x
- MR Author ID
- 721688
- Mathematics Genealogy Project ID
- 62555
- Re.Public@Polimi author ID
- 87700
- SBN author ID
- BVEV283841
🔗 Connections
Affiliated with 10
Author of 8
Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks,
Bayesian splines versus fractional polynomials in network meta-analysis,
Bridging trees for posterior inference on ancestral recombination graphs,
Dependent generalized Dirichlet process priors for the analysis of acute lymphoblastic leukemia,
Joint modeling of recurrent events and survival: a Bayesian non-parametric approach,
Monte Carlo co-ordinate ascent variational inference,
The<i>G</i>-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models,
Variable selection in covariate dependent random partition models: an application to urinary tract infection
← Authored by 8
Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks,
Bayesian splines versus fractional polynomials in network meta-analysis,
Bridging trees for posterior inference on ancestral recombination graphs,
Dependent generalized Dirichlet process priors for the analysis of acute lymphoblastic leukemia,
Joint modeling of recurrent events and survival: a Bayesian non-parametric approach,
Monte Carlo co-ordinate ascent variational inference,
The<i>G</i>-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models,
Variable selection in covariate dependent random partition models: an application to urinary tract infection
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Summary
Maria De Iorio was born in 1972[1]. She has worked as a researcher[2] and teacher[3].
FAQs
What did Maria De Iorio do for work?
Maria De Iorio worked as a researcher[2] and teacher[3].
Where did Maria De Iorio go to school?
Maria De Iorio was educated at Duke University[5].
What awards did Maria De Iorio receive?
Honors received include Fellow of the International Society for Bayesian Analysis[7].