Tullia Padellini

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Bayesian hierarchical small area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial census data	2024	Emily Peterson Rachel C. Nethery Tullia Padellini Jarvis T. Chen Brent A. Coull Frédéric B. Piel Jonathan Wakefield Marta Blangiardo Lance A. Waller
+	Joint quantile disease mapping with application to malaria and G6PD deficiency	2024	Hanan Alahmadi Janet van Niekerk Tullia Padellini Håvard Rue
+ PDF Chat	Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality	2022	George Nicholson Marta Blangiardo Mark Briers Peter J. Diggle Tor Erlend Fjelde Hong Ge Robert J. B. Goudie Radka Jersakova Ruairidh King Brieuc Lehmann
+	Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study	2022	Tullia Padellini Radka Jersakova Peter J. Diggle Chris Holmes Ruairidh King Brieuc Lehmann Ann‐Marie Mallon George Nicholson Sylvia Richardson Marta Blangiardo
+	Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates	2022	R. Giubilei Tullia Padellini Pierpaolo Brutti
+ PDF Chat	Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework	2021	George Nicholson Brieuc Lehmann Tullia Padellini Koen B. Pouwels Radka Jersakova James W. Lomax Ruairidh King Ann‐Marie Mallon Peter J. Diggle Sylvia Richardson
+	Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a space-time study	2021	Tullia Padellini Radka Jersakova Peter J. Diggle Chris Holmes Ruairidh King Brieuc Lehmann Ann‐Marie Mallon George Nicholson Sylvia Richardson Marta Blangiardo
+ PDF Chat	Supervised learning with indefinite topological Kernels	2021	Tullia Padellini Pierpaolo Brutti
+	Local prevalence of transmissible SARS-CoV-2 infection: an integrative causal model for debiasing fine-scale targeted testing data	2021	George Nicholson Brieuc Lehmann Tullia Padellini Koen B. Pouwels Radka Jersakova James W. Lomax Ruairidh King Ann‐Marie Mallon Peter J. Diggle Sylvia Richardson
+	A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data	2021	Emily N Peterson Rachel C. Nethery Tullia Padellini Jarvis T. Chen Brent A. Coull Frédéric B. Piel Jon Wakefield Marta Blangiardo Lance A. Waller
+	Interoperability of statistical models in pandemic preparedness: principles and reality	2021	George Nicholson Marta Blangiardo Mark Briers Peter J. Diggle Tor Erlend Fjelde Ge Hong Robert J. B. Goudie Radka Jersakova Ruairidh King Brieuc Lehmann
+	Model-based Quantile Regression for Discrete Data	2018	Tullia Padellini Håvard Rue
+	Model-aware Quantile Regression for Discrete Data	2018	Tullia Padellini Håvard Rue
+	Supervised Learning with Indefinite Topological Kernels	2017	Tullia Padellini Pierpaolo Brutti
+	Persistence Flamelets: multiscale Persistent Homology for kernel density exploration	2017	Tullia Padellini Pierpaolo Brutti
+	Supervised Learning with Indefinite Topological Kernels	2017	Tullia Padellini Pierpaolo Brutti

Common Coauthors

Coauthor	Papers Together
Marta Blangiardo	8
Sylvia Richardson	6
Brieuc Lehmann	6
George Nicholson	6
Chris Holmes	6
Peter J. Diggle	6
Ann‐Marie Mallon	6
Ruairidh King	6
Radka Jersakova	6
Pierpaolo Brutti	5
Håvard Rue	3
Mark Briers	2
Rachel C. Nethery	2
Robert J. B. Goudie	2
Koen B. Pouwels	2
Tor Erlend Fjelde	2
Brent A. Coull	2
Jarvis T. Chen	2
Yee Whye Teh	2
Lance A. Waller	2
Frédéric B. Piel	2
James W. Lomax	2
Janet van Niekerk	1
Jon Wakefield	1
Emily N Peterson	1
R. Giubilei	1
Hanan Alahmadi	1
Emily Peterson	1
Jonathan Wakefield	1
Ge Hong	1
Hong Ge	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations	2009	Håvard Rue Sara Martino Nicolás Chopin	5
+ PDF Chat	An intuitive Bayesian spatial model for disease mapping that accounts for scaling	2016	Andrea Riebler Sigrunn H. Sørbye Daniel Simpson Håvard Rue	5
+ PDF Chat	Stochastic Convergence of Persistence Landscapes and Silhouettes	2014	Frédéric Chazal Brittany Terese Fasy Fabrizio Lecci Alessandro Rinaldo Larry Wasserman	3
+ PDF Chat	Bayesian modelling of inseparable space-time variation in disease risk	2000	Leonhard Knorr‐Held	3
+	Bayesian image restoration, with two applications in spatial statistics	1991	Julian Besag Jeremy York Annie Molli�	3
+	Probability measures on the space of persistence diagrams	2011	Yuriy Mileyko Sayan Mukherjee John Harer	3
+	Bayesian Methods for Hidden Markov Models	2002	Steven L. Scott	3
+	Statistical topological data analysis using persistence landscapes	2015	Peter Bubenik	3
+	Community prevalence of SARS-CoV-2 in England from April to November, 2020: results from the ONS Coronavirus Infection Survey	2020	Koen B. Pouwels Thomas House Emma Pritchard Julie V. Robotham Paul Birrell Andrew Gelman Karina-Doris Vihta Nikola Bowers Ian Boreham Heledd Thomas	3
+ PDF Chat	The Structure and Stability of Persistence Modules	2016	Frédéric Chazal Vin de Silva Marc Glisse Steve Oudot	3
+	Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors	2017	Daniel Simpson Håvard Rue Andrea Riebler Thiago G. Martins Sigrunn H. Sørbye	3
+ PDF Chat	Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe	2020	Seth Flaxman Swapnil Mishra Axel Gandy H. Juliette T. Unwin Thomas A. Mellan Helen Coupland Charles Whittaker Harrison Zhu Tresnia Berah Jeffrey W. Eaton	3
+	Mathematical Epidemiology	2008	Fred Brauer P. van den Driessche Jian Wu	3
+ PDF Chat	Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework	2021	George Nicholson Brieuc Lehmann Tullia Padellini Koen B. Pouwels Radka Jersakova James W. Lomax Ruairidh King Ann‐Marie Mallon Peter J. Diggle Sylvia Richardson	2
+	Race, ethnicity, community-level socioeconomic factors, and risk of COVID-19 in the United States and the United Kingdom	2021	Chun‐Han Lo Long H. Nguyen David A. Drew Erica T. Warner Amit D. Joshi Mark S. Graham Adjoa Anyane‐Yeboa Fatma M. Shebl Christina M. Astley Jane C. Figueiredo	2
+ PDF Chat	Efficient Bayesian inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities	2022	Yee Whye Teh Bryn Elesedy Bobby He Michael Hutchinson Sheheryar Zaidi Avishkar Bhoopchand Ulrich Paquet Nenad Tomašev Jonathan M. Read Peter J. Diggle	2
+	Quantiles for Counts	2005	José A. F. Machado João Santos Silva	2
+	Local prevalence of transmissible SARS-CoV-2 infection: an integrative causal model for debiasing fine-scale targeted testing data	2021	George Nicholson Brieuc Lehmann Tullia Padellini Koen B. Pouwels Radka Jersakova James W. Lomax Ruairidh King Ann‐Marie Mallon Peter J. Diggle Sylvia Richardson	2
+	Estimating the effectiveness of routine asymptomatic PCR testing at different frequencies for the detection of SARS-CoV-2 infections	2021	Joel Hellewell Timothy Russell Rupert Beale Gavin Kelly Catherine Houlihan Eleni Nastouli Adam J. Kucharski	2
+ PDF Chat	A stable multi-scale kernel for topological machine learning	2015	Jan Reininghaus Stefan Huber Ulrich Bauer Roland Kwitt	2
+	Examining the association between socio-demographic composition and COVID-19 fatalities in the European region using spatial regression approach	2020	Srikanta Sannigrahi Francesco Pilla Bidroha Basu Arunima Sarkar Basu Anna Mölter	2
+ PDF Chat	Disease mapping via negative binomial regression M-quantiles	2014	Ray Chambers Emanuela Dreassi Nicola Salvati	2
+	Quantifying asymptomatic infection and transmission of COVID-19 in New York City using observed cases, serology, and testing capacity	2021	Rahul Subramanian Qixin He Mercedes Pascual	2
+ PDF Chat	Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England	2021	Nicholas G. Davies Sam Abbott Rosanna C. Barnard Christopher I Jarvis Adam J. Kucharski James D. Munday Carl A. B. Pearson Timothy Russell Damien C. Tully Alex Washburne	2
+	A COVID-19 Model for Local Authorities of the United Kingdom	2020	Swapnil Mishra Jamie Scott Harrison Zhu Neil M. Ferguson Samir Bhatt Seth Flaxman Axel Gandy	2
+	Bivariate Binomial Spatial Modeling of <i>Loa loa</i> Prevalence in Tropical Africa	2008	Ciprian M. Crainiceanu Peter J. Diggle Barry Rowlingson	2
+	A Survey on Reproducing Kernel Krein Spaces	2013	Aurelian Gheondea	2
+	Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave	2021	Paul Birrell Joshua Blake Edwin van Leeuwen Nick Gent Daniela De Angelis	2
+ PDF Chat	INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles	2018	Thomas Opitz Raphaël Huser Haakon Bakka Håvard Rue	2
+	Ecological Bias, Confounding, and Effect Modification	1989	Sander Greenland Hal Morgenstern	2
+ PDF Chat	A geostatistical framework for combining spatially referenced disease prevalence data from multiple diagnostics	2019	Benjamin Amoah Peter J. Diggle Emanuele Giorgi	2
+	Estimating the effectiveness of routine asymptomatic PCR testing at different frequencies for the detection of SARS-CoV-2 infections	2020	Joel Hellewell Timothy Russell Rupert Beale Gavin Kelly Catherine Houlihan Eleni Nastouli Adam J. Kucharski	2
+	Learning with non-positive kernels	2004	Cheng Soon Ong Xavier Mary Stéphane Canu Alexander J. Smola	2
+ PDF Chat	Combining Data from Multiple Spatially Referenced Prevalence Surveys Using Generalized Linear Geostatistical Models	2014	Emanuele Giorgi Sanie Sesay Dianne J. Terlouw Peter J. Diggle	2
+	Metric Spaces of Non-Positive Curvature	1999	Martin R. Bridson André Haefliger	2
+ PDF Chat	Modelling Bias in Combining Small Area Prevalence Estimates from Multiple Surveys	2010	Giancarlo Manzi David J. Spiegelhalter Rebecca M. Turner Julian Flowers Simon G. Thompson	2
+ PDF Chat	A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics	2013	Anne Cori Neil M. Ferguson Christophe Fraser Simon Cauchemez	2
+ PDF Chat	Sliding Windows and Persistence: An Application of Topological Methods to Signal Analysis	2014	José A. Perea John Harer	2
+	Four key challenges in infectious disease modelling using data from multiple sources	2014	Daniela De Angelis Anne M. Presanis Paul Birrell Gianpaolo Scalia Tomba Thomas House	2
+	Bayesian quantile regression	2001	Keming Yu Rana Moyeed	2
+	Persistence weighted Gaussian kernel for topological data analysis	2016	Genki Kusano Kenji Fukumizu Yasuaki Hiraoka	2
+	Formation of buckminsterfullerene (C <sub>60</sub> ) in interstellar space	2011	Olivier Berné A. G. G. M. Tielens	2
+ PDF Chat	Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood	2015	Yunwen Yang Huixia Wang Xuming He	2
+ PDF Chat	Parametric Quantile Regression Based on the Generalized Gamma Distribution	2013	Angela Noufaily M. C. Jones	2
+	Multiple imputation in quantile regression	2012	Wei Yue Yanyuan Ma Raymond J. Carroll	2
+ PDF Chat	Bayesian modelling of inseparable space‐time variation in disease risk	2000	Leonhard Knorr‐Held	2
+ PDF Chat	Disease mapping and spatial regression with count data	2006	Jonathan Wakefield	2
+	Ascertainment rate of SARS-CoV-2 infections from healthcare and community testing in the UK	2021	Ewan Colman Gavrila Amadea Puspitarani Jessica Enright Rowland R. Kao	2
+ PDF Chat	Bayesian Kernel Mixtures for Counts	2011	Antonio Canale David B. Dunson	1
+ PDF Chat	Some Remarks on Reproducing Kernel Krein Spaces	1991	Daniel Alpay	1