Lucy Marshall

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All published works

Action	Title	Year	Authors
+ PDF Chat	How to Select an Objective Function Using Information Theory	2024	Timothy Hodson Thomas M. Over T. J. Smith Lucy Marshall
+	How to select an objective function using information theory	2022	Timothy Hodson Thomas M. Over T. J. Smith Lucy Marshall
+ PDF Chat	Functional models for longitudinal data with covariate dependent smoothness	2016	David Kwamena Mensah David J. Nott Linda S. L. Tan Lucy Marshall
+	Approximate Bayesian Computation and Bayes’ Linear Analysis: Toward High-Dimensional ABC	2014	David J. Nott Yanan Fan Lucy Marshall Scott A. Sisson
+	Approximate Bayesian Computation and Bayes’ Linear Analysis: Toward High-Dimensional ABC	2014	David J. Nott Yanan Fan Lucy Marshall Scott A. Sisson
+	Approximate Bayesian Computation and Bayes’ Linear Analysis: Toward High-Dimensional ABC	2014	David J. Nott Yanan Fan Lucy Marshall Scott A. Sisson
+	Approximate Bayesian Computation and Bayes’ Linear Analysis: Toward High-Dimensional ABC	2012	David J. Nott Yanan Fan Lucy Marshall Scott A. Sisson
+ PDF Chat	Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection?	2012	David J. Nott Lucy Marshall Jason Brown
+	Approximate Bayesian computation and Bayes linear analysis: Towards high-dimensional ABC	2011	David J. Nott Yanan Fan Lucy Marshall Scott A. Sisson
+	A Study of Recently Developed MCMC Techniques for Efficiently Characterizing the Uncertainty of Hydrologic Models	2008	Lucy Marshall T. J. Smith

Common Coauthors

Coauthor	Papers Together
David J. Nott	7
Scott A. Sisson	5
Yanan Fan	5
T. J. Smith	3
Thomas M. Over	2
Timothy Hodson	2
Linda S. L. Tan	1
David Kwamena Mensah	1
Jason Brown	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Sequential Monte Carlo without likelihoods	2007	Scott A. Sisson Yanan Fan Mark M. Tanaka	3
+	A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation	2013	Michaël G. B. Blum Matthew A. Nunes Dennis Prangle Scott A. Sisson	3
+	Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory	2010	Sumio Watanabe	2
+	Nearly Nonparametric Multivariate Density Estimates That Incorporate Marginal Parametric Density Information	2003	Clifford H. Spiegelman Eun Sug Park	2
+ PDF Chat	ABC as a flexible framework to estimate demography over space and time: some cons, many pros	2010	Giorgio Bertorelle Andrea Benazzo Stefano Mona	2
+	Pairwise likelihood methods for inference in image models	1999	David J. Nott	2
+	Likelihood-free Markov chain Monte Carlo	2010	Scott A. Sisson Yanan Fan	2
+ 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	2
+ PDF Chat	Non-linear regression models for Approximate Bayesian Computation	2009	Michaël G. B. Blum Olivier François	2
+ PDF Chat	abc: an R package for approximate Bayesian computation (ABC)	2012	Katalin Csilléry Olivier François Michaël G. B. Blum	2
+	Approximate Bayesian Computation in Evolution and Ecology	2010	Mark Beaumont	2
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	2
+	A Simplex Method for Function Minimization	1965	J. A. Nelder R. Mead	2
+ PDF Chat	Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation	2015	Jasper A. Vrugt	2
+	Some Theorems on Distribution Functions	1936	Harald Cramér Herman Wold	2
+ PDF Chat	Adaptive approximate Bayesian computation	2009	Mark Beaumont J. M. Cornuet Jean‐Michel Marin Christian P. Robert	2
+	Inference for Stereological Extremes	2007	Paola Bortot Stuart Coles Scott A. Sisson	2
+	On the mathematical foundations of theoretical statistics	1922	Ronald Aylmer Fisher	2
+ PDF Chat	Approximate Bayesian Computation: A Nonparametric Perspective	2010	Michaël G. B. Blum	2
+	Approximate Bayesian Computation (ABC) in practice	2010	Katalin Csilléry Michaël G. B. Blum Oscar E. Gaggiotti Olivier François	2
+	ABC: A useful Bayesian tool for the analysis of population data	2009	João S. Lopes Mark Beaumont	2
+	Binary Mosaics and the Spatial Pattern of Heather	1981	Peter J. Diggle	2
+ PDF Chat	Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation	2010	Christopher Drovandi A. N. Pettitt	2
+	Confidence intervals of the Kling-Gupta efficiency	2022	Jasper A. Vrugt Debora Yumi de Oliveira	2
+ PDF Chat	Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not	2022	Timothy Hodson	2
+	Kullback-Leibler divergence estimation of continuous distributions	2008	Fernando Pérez‐Cruz	2
+ PDF Chat	Approximate Bayesian Computation in Population Genetics	2002	Mark Beaumont Wenyang Zhang David J. Balding	2
+ PDF Chat	Bayesian Computation and Model Selection Without Likelihoods	2009	Christoph Leuenberger Daniel Wegmann	2
+	Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation (with Discussion)	2012	Paul Fearnhead Dennis Prangle	2
+	Adaptivity for ABC algorithms: the ABC-PMC scheme	2008	Christian P. Rober Mark Beaumont Jean‐Michel Marin Jean‐Marie Cornuet	2
+ PDF Chat	A Stochastic Variational Framework for Fitting and Diagnosing Generalized Linear Mixed Models	2014	Linda S. L. Tan David J. Nott	1
+	Nonlinear Regression Models	2005		1
+	Random Fields and Geometry	2007	Robert J. Adler Jonathan Taylor	1
+	On the interplay between noise and curvature and its effect on optimization and generalization	2019	Valentin Thomas Fabián Pedregosa Bart van Merriënboer Pierre-Antoine Mangazol Yoshua Bengio Nicolas Le Roux	1
+	The Elements of Statistical Learning	2009		1
+ PDF Chat	Handbook of Markov Chain Monte Carlo	2011	Steve Brooks Andrew Gelman Galin L. Jones Xiao‐Li Meng	1
+	Monte Carlo Methods of Inference for Implicit Statistical Models	1984	Peter J. Diggle Richard J. Gratton	1
+	Random Fields and Geometry	2007	Robert J. Adler Jonathan Taylor	1
+ PDF Chat	Report of the Editors—2011	2012	George Casella Gethin Roberts	1
+ PDF Chat	Mean Field Variational Bayes for Elaborate Distributions	2011	M. P. Wand John T. Ormerod Simone A. Padoan R. Frühwirth	1
+ PDF Chat	Constructing Summary Statistics for Approximate Bayesian Computation: Semi-Automatic Approximate Bayesian Computation	2012	Paul Fearnhead Dennis Prangle	1
+	None	2003	Antti Honkela	1
+ PDF Chat	Variational inference for sparse spectrum Gaussian process regression	2015	Linda S. L. Tan Victor M.-H. Ong David J. Nott Ajay Jasra	1
+	<b>spatstat</b>: An<i>R</i>Package for Analyzing Spatial Point Patterns	2005	Adrian Baddeley Rolf Turner	1
+ PDF Chat	Discussion on the paper by Feranhead and Prangle	2012	J Moller	1
+	Approximate Bayesian Computation and Bayes’ Linear Analysis: Toward High-Dimensional ABC	2012	David J. Nott Yanan Fan Lucy Marshall Scott A. Sisson	1
+ PDF Chat	Flexible Multivariate Density Estimation With Marginal Adaptation	2012	Paolo Giordani Xiuyan Mun Minh‐Ngoc Tran Robert Kohn	1
+ PDF Chat	An Adaptive Metropolis Algorithm	2001	Heikki Haario Eero Saksman J. Tamminen	1
+	Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters	1994	Scott L. Zeger Peter J. Diggle	1
+	Simulation of Stationary Gaussian Processes in [0, 1]<sup><i>d</i></sup>	1994	Andrew T. A. Wood Grace Chan	1