Sarah Filippi

Sarah Filippi

Imperial College London

H-index: 25

Europe-United Kingdom

About Sarah Filippi

Sarah Filippi, With an exceptional h-index of 25 and a recent h-index of 23 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Computational Statistics, Statistical Machine Learning, Application to biomedical problems..

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

Mixed-Output Gaussian Process Latent Variable Models

Genomic attributes of airway commensal bacteria and mucosa

Author Correction: Cardiometabolic and renal phenotypes and transitions in the United States population

Corrections & amendments

Cardiometabolic and renal phenotypes and transitions in the United States population

Automated calibration of consensus weighted distance-based clustering approaches using sharp

Group Spike and Slab Variational Bayes

Delayed Feedback in Generalised Linear Bandits

Sarah Filippi Information

University

Position

Senior Lecturer

Citations(all)

3002

Citations(since 2020)

2094

Cited By

1619

hIndex(all)

25

hIndex(since 2020)

23

i10Index(all)

35

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Sarah Filippi Skills & Research Interests

Computational Statistics

Statistical Machine Learning

Application to biomedical problems.

Top articles of Sarah Filippi

Mixed-Output Gaussian Process Latent Variable Models

arXiv preprint arXiv:2402.09122

2024/2/14

Ruth Misener
Ruth Misener

H-Index: 21

Sarah Filippi
Sarah Filippi

H-Index: 19

Author Correction: Cardiometabolic and renal phenotypes and transitions in the United States population

Nature Cardiovascular Research

2024/1/15

Cardiometabolic and renal phenotypes and transitions in the United States population

Nature cardiovascular research

2024/1

Automated calibration of consensus weighted distance-based clustering approaches using sharp

Bioinformatics

2023/11/1

Group Spike and Slab Variational Bayes

arXiv preprint arXiv:2309.10378

2023/9/19

Delayed Feedback in Generalised Linear Bandits

2023/7/20

Probabilistic predictions for partial least squares using bootstrap

AIChE Journal

2023/7

Ruth Misener
Ruth Misener

H-Index: 21

Sarah Filippi
Sarah Filippi

H-Index: 19

Optimism and delays in episodic reinforcement learning

2023/4/11

Ciara Pike-Burke
Ciara Pike-Burke

H-Index: 5

Sarah Filippi
Sarah Filippi

H-Index: 19

Delayed feedback in generalised linear bandits revisited

2023/4/11

Ciara Pike-Burke
Ciara Pike-Burke

H-Index: 5

Sarah Filippi
Sarah Filippi

H-Index: 19

BART-based inference for Poisson processes

Computational Statistics & Data Analysis

2023/4/1

Modelling phylogeny in 16S rRNA gene sequencing datasets using string kernels

arXiv preprint arXiv:2210.07696

2022/10/14

Jonathan Ish-Horowicz
Jonathan Ish-Horowicz

H-Index: 5

Sarah Filippi
Sarah Filippi

H-Index: 19

Bayesian kernel two-sample testing

Journal of Computational and Graphical Statistics

2022/10/2

Sarah Filippi
Sarah Filippi

H-Index: 19

Dino Sejdinovic
Dino Sejdinovic

H-Index: 26

Variational Bayes for high-dimensional proportional hazards models with applications within gene expression

Bioinformatics

2022/6/25

Cross-kingdom analysis of microbial communities in Cystic Fibrosis and Bronchiectasis

bioRxiv

2022/1/11

Automated calibration for stability selection in penalised regression and graphical models: a multi-OMICs network application exploring the molecular response to tobacco smoking

Journal of the Royal Statistical Society Series C: Applied Statistics

2023/11

Sarah Filippi
Sarah Filippi

H-Index: 19

Julien Chiquet
Julien Chiquet

H-Index: 13

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

eLife

2021

See List of Professors in Sarah Filippi University(Imperial College London)

Co-Authors

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