Jonathan Keith

Jonathan Keith

Monash University

H-index: 22

Oceania-Australia

About Jonathan Keith

Jonathan Keith, With an exceptional h-index of 22 and a recent h-index of 12 (since 2020), a distinguished researcher at Monash University, specializes in the field of bioinformatics, comparative genomics, Bayesian methods, Markov chain Monte Carlo, mathematical ecology.

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

Measurability of functions mapping a charge space into a uniform space

G‐optimal grid designs for kriging models

On the measurability of a numerical function with respect to a family of sets

Measurable functions on charge spaces

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks

Reconstructing the dynamics of managed populations to estimate the impact of citizen surveillance

Optimal designs for some bivariate cokriging models

Detection and identification of cis-regulatory elements using change-point and classification algorithms

Jonathan Keith Information

University

Position

___

Citations(all)

1416

Citations(since 2020)

612

Cited By

978

hIndex(all)

22

hIndex(since 2020)

12

i10Index(all)

46

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Jonathan Keith Skills & Research Interests

bioinformatics

comparative genomics

Bayesian methods

Markov chain Monte Carlo

mathematical ecology

Top articles of Jonathan Keith

Measurability of functions mapping a charge space into a uniform space

Journal of Mathematical Analysis and Applications

2024/7/1

G‐optimal grid designs for kriging models

Scandinavian Journal of Statistics

2024

Siuli Mukhopadhyay
Siuli Mukhopadhyay

H-Index: 8

Jonathan Keith
Jonathan Keith

H-Index: 11

On the measurability of a numerical function with respect to a family of sets

arXiv preprint arXiv:2309.04049

2023/9/8

Measurable functions on charge spaces

arXiv preprint arXiv:2304.05531

2023/4/11

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks

arXiv preprint arXiv:2301.07386

2023/1/18

Leonardo Novelli
Leonardo Novelli

H-Index: 4

Jonathan Keith
Jonathan Keith

H-Index: 11

Reconstructing the dynamics of managed populations to estimate the impact of citizen surveillance

Ecological Modelling

2023/1/1

Optimal designs for some bivariate cokriging models

Journal of Statistical Planning and Inference

2022/12/1

Siuli Mukhopadhyay
Siuli Mukhopadhyay

H-Index: 8

Jonathan Keith
Jonathan Keith

H-Index: 11

Detection and identification of cis-regulatory elements using change-point and classification algorithms

BMC genomics

2022/1/25

Jonathan Keith
Jonathan Keith

H-Index: 11

Properties of functions on a bounded charge space

Analysis and Geometry in Metric Spaces

2022/1/1

Identification of community structure-based brain states and transitions using functional MRI

NeuroImage

2021/12/1

Binary sequences with a Ces\aro limit

arXiv preprint arXiv:2107.01020

2021/6/28

A comparison of Bayesian inference strategies for parameterisation of large amplitude AC voltammetry derived from total current and Fourier transformed versions

ChemElectroChem

2021/6/14

A theory of integration for Ces\aro limits

arXiv preprint arXiv:2104.08705

2021/4/18

Sequential Importance Sampling With Corrections For Partially Observed States

arXiv preprint arXiv:2103.05217

2021/3/9

Jonathan Keith
Jonathan Keith

H-Index: 11

Identification of brain states, transitions, and communities using functional MRI

arXiv preprint arXiv:2101.10617

2021/1/26

Tiangang Cui
Tiangang Cui

H-Index: 13

Jonathan Keith
Jonathan Keith

H-Index: 11

rsc. li/chemcomm

Chem. Commun

2021

Recent advances and future perspectives for automated parameterisation, Bayesian inference and machine learning in voltammetry

2021

Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges

2020/9/1

A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models

Royal Society open science

2020/3/11

Conditional Heteroscedasticity Models with Time-Varying Parameters: Estimation and Asymptotics

2020

See List of Professors in Jonathan Keith University(Monash University)

Co-Authors

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