Tina Toni

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All published works
Action Title Year Authors
+ PDF Chat The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up 2021 Răzvan V. Marinescu
Neil P. Oxtoby
Alexandra L. Young
Esther E. Bron
Arthur W. Toga
Michael W. Weiner
Frederik Barkhof
Nick C. Fox
Arman Eshaghi
Tina Toni
+ The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up 2020 Răzvan V. Marinescu
Neil P. Oxtoby
Alexandra L. Young
Esther E. Bron
Arthur W. Toga
Michael W. Weiner
Frederik Barkhof
Nick C. Fox
Arman Eshaghi
Tina Toni
+ A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation 2014 Juliane Liepe
Paul Kirk
Sarah Filippi
Tina Toni
C. Barnes
Michael P. H. Stumpf
+ PDF Chat Designing attractive models via automated identification of chaotic and oscillatory dynamical regimes 2011 Daniel Silk
Paul Kirk
C. Barnes
Tina Toni
Anna Rose
Simon Moon
Margaret J. Dallman
Michael P. H. Stumpf
+ Inference of Signalling Pathway Models 2011 Tina Toni
Juliane Liepe
Michael P. H. Stumpf
+ PDF Chat ABC SMC for parameter estimation and model selection with applications in systems biology 2011 Tina Toni
+ PDF Chat ABC-SysBio—approximate Bayesian computation in Python with GPU support 2010 Juliane Liepe
C. Barnes
Erika Cule
Kamil Erguler
Paul Kirk
Tina Toni
Michael P. H. Stumpf
+ PDF Chat Parameter Inference and Model Selection in Signaling Pathway Models 2010 Tina Toni
Michael P. H. Stumpf
+ Approximate Bayesian computation for parameter inference and model selection in systems biology 2010 Tina Toni
+ PDF Chat Simulation-based model selection for dynamical systems in systems and population biology 2009 Tina Toni
Michael P. H. Stumpf
+ Tutorial on ABC rejection and ABC SMC for parameter estimation and model selection 2009 Tina Toni
Michael P. H. Stumpf
+ The ABC of reverse engineering biological signalling systems 2009 Maria Secrier
Tina Toni
Michael P. H. Stumpf
+ Parameter inference and model selection in signaling pathway models 2009 Tina Toni
Michael P. H. Stumpf
+ Simulation-based model selection for dynamical systems in systems and population biology 2009 Tina Toni
Michael P. H. Stumpf
+ PDF Chat Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems 2008 Tina Toni
David Welch
Natalja Strelkowa
Andreas Ipsen
Michael P. H. Stumpf
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems 2008 Tina Toni
David Welch
Natalja Strelkowa
Andreas Ipsen
Michael P. H. Stumpf
9
+ Sequential Monte Carlo without likelihoods 2007 Scott A. Sisson
Yanan Fan
Mark M. Tanaka
8
+ PDF Chat Universally Sloppy Parameter Sensitivities in Systems Biology Models 2007 Ryan N. Gutenkunst
Joshua J. Waterfall
Fergal Casey
Kevin Brown
Christopher R. Myers
James P. Sethna
7
+ PDF Chat Simulation-based model selection for dynamical systems in systems and population biology 2009 Tina Toni
Michael P. H. Stumpf
5
+ PDF Chat Approximate Bayesian Computation in Population Genetics 2002 Mark Beaumont
Wenyang Zhang
David J. Balding
5
+ Bayes Factors 1995 Robert E. Kass
Adrian E. Raftery
4
+ PDF Chat Sequential Monte Carlo Samplers 2006 Pierre Del Moral
Arnaud Doucet
Ajay Jasra
3
+ An Introduction to the Bootstrap 1994 Bradley Efron
Robert Tibshirani
3
+ PDF Chat Adaptive approximate Bayesian computation 2009 Mark Beaumont
J. M. Cornuet
Jean‐Michel Marin
Christian P. Robert
3
+ The ABC of reverse engineering biological signalling systems 2009 Maria Secrier
Tina Toni
Michael P. H. Stumpf
3
+ Bayesian Inference for Stochastic Kinetic Models Using a Diffusion Approximation 2005 Andrew Golightly
Darren J. Wilkinson
3
+ PDF Chat An adaptive sequential Monte Carlo method for approximate Bayesian computation 2011 Pierre Del Moral
Arnaud Doucet
Ajay Jasra
3
+ When kinases meet mathematics: the systems biology of MAPK signalling 2005 Walter Kölch
Muffy Calder
David Gilbert
3
+ PDF Chat Stochastic ranking for constrained evolutionary optimization 2000 Thomas Philip RĂșnarsson
Xin Yao
3
+ PDF Chat Model criticism based on likelihood-free inference, with an application to protein network evolution 2009 Oliver Ratmann
Christophe Andrieu
Carsten Wiuf
Sylvia Richardson
2
+ Model Selection and Mixed-Effects Modeling of HIV Infection Dynamics 2006 David M. Bortz
Patrick W. Nelson
2
+ PDF Chat Inferring population history with<i>DIY ABC</i>: a user-friendly approach to approximate Bayesian computation 2008 Jean‐Marie Cornuet
Filipe Santos
Mark Beaumont
Christian P. Robert
Jean‐Michel Marin
David J. Balding
Thomas Guillemaud
Arnaud Estoup
2
+ A Method for Computing Profile-Likelihood-Based Confidence Intervals 1988 David Venzon
Suresh H. Moolgavkar
2
+ PDF Chat ABC-SysBio—approximate Bayesian computation in Python with GPU support 2010 Juliane Liepe
C. Barnes
Erika Cule
Kamil Erguler
Paul Kirk
Tina Toni
Michael P. H. Stumpf
2
+ PDF Chat The statistical mechanics of complex signaling networks: nerve growth factor signaling 2004 Kevin Brown
Charles Hill
Guillermo Calero
Christopher R. Myers
Kelvin H. Lee
James P. Sethna
Richard A. Cerione
2
+ PDF Chat ABC likelihood-free methods for model choice in Gibbs random fields 2009 Aude Grelaud
Jean‐Michel Marin
Christian P. Robert
F. Rodolphe
Jean-François Taly
2
+ Exact stochastic simulation of coupled chemical reactions 1977 Daniel T. Gillespie
2
+ PDF Chat Estimating the Dimension of a Model 1978 Gideon Schwarz
2
+ PDF Chat A hierarchical Bayesian approach for parameter estimation in HIV models 2005 H. T. Banks
S.L. Grove
Shuhua Hu
Yanyuan Ma
2
+ PDF Chat Monte Carlo Statistical Methods 2000 Hoon Kim
Christian P. Robert
George Casella
1
+ PDF Chat A mathematical model of common-cold epidemics on Tristan da Cunha 1971 B. J. Hammond
D. A. J. Tyrrell
1
+ PDF Chat ABC methods for model choice in Gibbs random fields 2009 Aude Grelaud
Christian P. Robert
Jean‐Michel Marin
1
+ PDF Chat Inference on population history and model checking using DNA sequence and microsatellite data with the software DIYABC (v1.0) 2010 Jean‐Marie Cornuet
Virginie Ravigné
Arnaud Estoup
1
+ PDF Chat Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors 1999 Jennifer A. Hoeting
David Madigan
Adrian E. Raftery
Chris Volinsky
1
+ PDF Chat Approximate Bayesian computation (ABC) gives exact results under the assumption of model error 2013 R. Wilkinson
1
+ Parameter estimation in some diffusion and reaction models: An application of bifurcation theory 1984 Françis Conrad
Vera Treguera-Seguda
1
+ PDF Chat Approximate Bayesian Computation 2013 Mikael SunnÄker
Alberto Giovanni Busetto
Elina Numminen
Jukka Corander
Matthieu Foll
Christophe Dessimoz
1
+ Household and Community Transmission Parameters from Final Distributions of Infections in Households 1982 Ira M. Longini
James S. Koopman
1
+ Computing Bayes Factors by Combining Simulation and Asymptotic Approximations 1997 Thomas J. DiCiccio
Robert E. Kass
Adrian E. Raftery
Larry Wasserman
1
+ PDF Chat On validation and invalidation of biological models 2009 James Anderson
Antonis Papachristodoulou
1
+ Approximate Bayesian Computation (ABC) in practice 2010 Katalin Csilléry
Michaël G. B. Blum
Oscar E. Gaggiotti
Olivier François
1
+ Probability and Computing: Randomized Algorithms and Probabilistic Analysis 2005 Michael Mitzenmacher
Eli Upfal
1
+ Bayesian Computation and Model Selection in Population Genetics 2009 Christoph Leuenberger Daniel Wegmann Laurent Excoffier
1
+ An invariant form for the prior probability in estimation problems 1946 Harold Jeffreys
1
+ Mapping regions with different bifurcation diagrams of a reverse‐flow reactor 1997 Johannes Khinast
Dan Luss
1
+ PDF Chat Analyses of Infectious Disease Data from Household Outbreaks by Markov Chain Monte Carlo Methods 2000 Philip D. O’Neill
David J. Balding
Niels G. Becker
Mervi Eerola
Denis Mollison
1
+ Optimizing Threshold - Schedules for Approximate Bayesian Computation Sequential Monte Carlo Samplers: Applications to Molecular Systems 2012 Daniel Silk
Saran Filippi
Michael P. H. Stumpf
1
+ Lyapunov Characteristic Exponents for smooth dynamical systems and for hamiltonian systems; a method for computing all of them. Part 1: Theory 1980 Giancarlo Benettin
L. Galgani
Antonio Giorgilli
Jean-Marie Strelcyn
1
+ The Analysis of Panel Data under a Markov Assumption 1985 John D. Kalbfleisch
J. F. Lawless
1
+ ABC: A useful Bayesian tool for the analysis of population data 2009 JoĂŁo S. Lopes
Mark Beaumont
1
+ Exact Bayesian Inference and Model Selection for Stochastic Models of Epidemics Among a Community of Households 2006 Damian Clancy
Philip D. O’Neill
1
+ Book review: “Bayesian Data Analysis,” Second Edition by A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Chapman &amp; Hall/CRC, 2004 2005 Jerry Nedelman
1
+ A Generalized Stochastic Model for the Analysis of Infectious Disease Final Size Data 1991 Cheryl L. Addy
Ira M. Longini
Michael Haber
1
+ Developing a delay differential equation solver 1992 Christopher Paul
1
+ PDF Chat Discussion on the paper by Feranhead and Prangle 2012 J Moller
1