Jan Povala - Google Scholar

Get my own profile

Cited by

	All	Since 2020
Citations	24	24
h-index	2	2
i10-index	1	1

0

10

5

20222023202420253 9 8 3

Public access

2 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Fehmi CirakDepartment of Engineering, University of CambridgeVerified email at cam.ac.uk
Ieva KazlauskaiteLondon School of Economics and Political ScienceVerified email at lse.ac.uk
Seppo VirtanenUniversity of WarwickVerified email at warwick.ac.uk

Jan Povala

Jan Povala

Moody’s RMS

Verified email at moodys.com - Homepage

computational statistics spatio-temporal statistical models climate models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Variational bayesian approximation of inverse problems using sparse precision matrices J Povala, I Kazlauskaite, E Febrianto, F Cirak, M Girolami Computer Methods in Applied Mechanics and Engineering 393, 114712, 2022	22	2022
Burglary in London: Insights from Statistical Heterogeneous Spatial Point Processes J Povala, S Virtanen, M Girolami Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 …, 2020	2	2020
(No) Spillovers in reporting domestic abuse to police L Vomfell, J Povala Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023		2023
Interpretable models for spatially dependent and heterogeneous phenomena J Povala Imperial College London, 2022		2022

The system can't perform the operation now. Try again later.

Articles 1–4