Matthew M. Graham

About Matthew M. Graham

Matthew M. Graham, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University College London, specializes in the field of Markov chain Monte Carlo, Bayesian inference, inverse problems, data assimilation.

His recent articles reflect a diverse array of research interests and contributions to the field:

ParticleDA. jl v. 1.0: a distributed particle-filtering data assimilation package

Estimating the impact of maternity service delivery on health in Malawi: An individual-based modelling study

Factors associated with medical consumable availability in Level 1 facilities in Malawi: secondary analysis of a facility census

A Healthcare Service Delivery and Epidemiological Model for Investigating Resource Allocation for Health: The Thanzi La Onse Model

Modeling Contraception and Pregnancy in Malawi: A Thanzi La Onse Mathematical Modeling Study

Parameter Inference for Degenerate Diffusion Processes

Manifold lifting: scaling Markov chain Monte Carlo to the vanishing noise regime

ParticleDA. jl v. 1.0: A real-time data assimilation software platform

Matthew M. Graham Information

University

Position

Research software engineer

Citations(all)

1089

Citations(since 2020)

637

Cited By

700

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Matthew M. Graham Skills & Research Interests

Markov chain Monte Carlo

Bayesian inference

inverse problems

data assimilation

Top articles of Matthew M. Graham

ParticleDA. jl v. 1.0: a distributed particle-filtering data assimilation package

Geoscientific Model Development

2024/3/28

Estimating the impact of maternity service delivery on health in Malawi: An individual-based modelling study

2024/2/20

Factors associated with medical consumable availability in Level 1 facilities in Malawi: secondary analysis of a facility census

The Lancet Global Health

2024

A Healthcare Service Delivery and Epidemiological Model for Investigating Resource Allocation for Health: The Thanzi La Onse Model

medRxiv

2024

Modeling Contraception and Pregnancy in Malawi: A Thanzi La Onse Mathematical Modeling Study

Studies in family planning

2023/12

Parameter Inference for Degenerate Diffusion Processes

arXiv preprint arXiv:2307.16485

2023/7/31

Manifold lifting: scaling Markov chain Monte Carlo to the vanishing noise regime

Journal of the Royal Statistical Society Series B: Statistical Methodology

2023/7

ParticleDA. jl v. 1.0: A real-time data assimilation software platform

Geoscientific Model Development Discussions

2023/3/21

Parameter estimation with increased precision for elliptic and hypo-elliptic diffusions

arXiv preprint arXiv:2211.16384

2022/11/29

Estimating the health burden of road traffic injuries in Malawi using an individual-based model

Injury epidemiology

2022/7/12

Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models

Journal of the Royal Statistical Society, Series B

2022/9/30

Testing whether a learning procedure is calibrated

Journal of Machine Learning Research

2022

Measure transport with kernel Stein discrepancy

2021/3/18

See List of Professors in Matthew M. Graham University(University College London)

Co-Authors

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