David Pollard

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All published works

Action	Title	Year	Authors
+ PDF Chat	A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet	2020	Ben Seiyon Lee Murali Haran Robert W. Fuller David Pollard Klaus Keller
+	Antarctic ice sheet - climate feedbacks under high future carbon emissions	2020	S. Rogstad Alan Condron Robert M. DeConto David Pollard
+	Antarctic ice sheet - climate feedbacks under high future carbon emissions	2020	S. Rogstad Alan Condron Robert M. DeConto David Pollard
+	A Fast Particle-Based Approach for Calibrating a 3-D Model of the Antarctic Ice Sheet	2019	Ben Seiyon Lee Murali Haran Robert J. Fuller David Pollard Klaus Keller
+ PDF Chat	Evolving Understanding of Antarctic Ice‐Sheet Physics and Ambiguity in Probabilistic Sea‐Level Projections	2017	Robert E. Kopp Robert M. DeConto Daniel Bader Carling C. Hay Radley Horton Scott Kulp Michael Oppenheimer David Pollard Benjamin Strauss
+ PDF Chat	Inferring ice thickness from a glacier dynamics model and multiple surface data sets	2017	Yawen Guan Murali Haran David Pollard
+	Implications of ice-shelf hydrofracturing and ice-cliff collapse mechanisms for sea-level projections	2017	Robert E. Kopp Robert M. DeConto Daniel Bader Carling C. Hay Radley Horton Scott Kulp Michael Oppenheimer David Pollard Benjamin Strauss
+ PDF Chat	Assessing the Impact of Retreat Mechanisms in a Simple Antarctic Ice Sheet Model Using Bayesian Calibration	2017	Kelsey L. Ruckert Gary Shaffer David Pollard Yawen Guan Tony E. Wong Chris E. Forest Klaus Keller
+	Improving ice sheet model calibration using paleoclimate and modern data	2016	Won Chang Murali Haran P. J. Applegate David Pollard
+	Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets	2016	Yawen Guan Murali Haran David Pollard
+ PDF Chat	Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data	2015	Won Chang Murali Haran P. J. Applegate David Pollard
+	Calibrating an ice sheet model using high-dimensional non-Gaussian spatial data	2015	Won Chang Murali Haran P. J. Applegate David Pollard
+	A dimension reduction approach to climate model calibration	2015	Won Chang Murali Haran P. J. Applegate David Pollard
+	Improving Ice Sheet Model Calibration Using Paleoclimate and Modern Data	2015	Won Chang Murali Haran P. J. Applegate David Pollard
+	Estimation in Functional Regression for General Exponential Families	2011	Winston Wei Dou David Pollard Harrison H. Zhou
+	A note on insufficiency and the preservation of Fisher information	2011	David Pollard
+	Les inégalités maximales et la méthode fondée sur l'entropie à crochets avec troncature adaptative	2002	David Pollard
+	Section 11: Least absolute deviations estimators for censored regression	1990	David Pollard David Pollard
+	Weak Convergence of Measures.	1985	David Pollard Harald Bergström
+	Aspects of dimensionally reduced field theories	1983	David Pollard

Common Coauthors

Coauthor	Papers Together
Murali Haran	9
P. J. Applegate	5
Won Chang	5
Robert M. DeConto	4
Klaus Keller	3
Yawen Guan	3
Robert E. Kopp	2
Alan Condron	2
Benjamin Strauss	2
Scott Kulp	2
Carling C. Hay	2
Daniel Bader	2
Ben Seiyon Lee	2
Michael Oppenheimer	2
Radley Horton	2
S. Rogstad	2
Gary Shaffer	1
Chris E. Forest	1
Harrison H. Zhou	1
Harald Bergström	1
Robert W. Fuller	1
Robert J. Fuller	1
Winston Wei Dou	1
Tony E. Wong	1
Kelsey L. Ruckert	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fixed-Width Output Analysis for Markov Chain Monte Carlo	2006	Galin L. Jones Murali Haran Brian Caffo Ronald C. Neath	4
+	Fast dimension-reduced climate model calibration and the effect of data aggregation	2014	Won Chang Murali Haran Roman Olson Klaus Keller	4
+ PDF Chat	Probabilistic assessment of sea level during the last interglacial stage	2009	Robert E. Kopp Frederik J. Simons J. X. Mitrovica Adam C. Maloof Michael Oppenheimer	3
+ PDF Chat	Computer model validation with functional output	2007	M. J. Bayarri D.A. Walsh James O. Berger John A. Cafeo Gonzalo García‐Donato F. Liu Jesús Palomo Revathy Parthasarathy Rui Paulo J. Sacks	3
+ PDF Chat	Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?	2008	James M. Flegal Murali Haran Galin L. Jones	3
+ PDF Chat	Modularization in Bayesian analysis, with emphasis on analysis of computer models	2009	M. J. Bayarri James O. Berger F. Liu	3
+	Sparse logistic principal components analysis for binary data	2010	Seokho Lee Jianhua Z. Huang Jianhua Hu	3
+	Optimization Transfer Using Surrogate Objective Functions	2000	Kenneth Lange David R. Hunter Ilsoon Yang	2
+ PDF Chat	The Three Sigma Rule	1994	Friedrich Pukelsheim	2
+ PDF Chat	A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields	2007	Brian J. Reich Montserrat Fuentes	2
+ PDF Chat	Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data	2015	Won Chang Murali Haran P. J. Applegate David Pollard	2
+	Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code	1979	Michael D. McKay Richard J. Beckman W. J. Conover	2
+	Improving ice sheet model calibration using paleoclimate and modern data	2016	Won Chang Murali Haran P. J. Applegate David Pollard	2
+	A Tutorial on MM Algorithms	2004	David R. Hunter Kenneth Lange	2
+ PDF Chat	Parameter Estimation of Partial Differential Equation Models	2013	Xiaolei Xun Jiguo Cao Bani K. Mallick Arnab Maity Raymond J. Carroll	1
+	The Multiple-Try Method and Local Optimization in Metropolis Sampling	2000	Jun S. Liu Faming Liang Wing Hung Wong	1
+ PDF Chat	The central limit theorem and the law of iterated logarithm for empirical processes under local conditions	1988	Niels Trolle Andersen Evarist Giné Mina Ossiander Joel Zinn	1
+ PDF Chat	Law of the iterated logarithm for set-indexed partial sum processes with finite variance	1985	Richard F. Bass	1
+	Novel approach to nonlinear/non-Gaussian Bayesian state estimation	1993	Neil Gordon David Salmond A. F. M. Smith	1
+ PDF Chat	Ensemble samplers with affine invariance	2010	Jonathan Goodman Jonathan Weare	1
+ PDF Chat	Spatial correlations in bed load transport: Evidence, importance, and modeling	2014	Joris Heyman Hongbin Ma François Mettra Christophe Ancey	1
+ PDF Chat	Data cloning: easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods	2007	Subhash R. Lele Brian Dennis Frithjof Lutscher	1
+ PDF Chat	Local Gaussian Process Approximation for Large Computer Experiments	2014	Robert B. Gramacy Daniel W. Apley	1
+	None	2000	Arnaud Doucet Simon Godsill Christophe Andrieu	1
+	On the convergence of adaptive sequential Monte Carlo methods	2016	Alexandros Beskos Ajay Jasra Nikolas Kantas Alexandre H. Thiéry	1
+	Markov Chain Monte Carlo in Practice	1995	Walter R. Gilks Sylvia Richardson David J. Spiegelhalter	1
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	1
+ PDF Chat	Sequential Monte Carlo Samplers	2006	Pierre Del Moral Arnaud Doucet Ajay Jasra	1
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	1
+	Bayesian Inference in Statistical Analysis.	1975	Joseph B. Kadane George E. P. Box George C. Tiao	1
+ PDF Chat	Robust adaptive Metropolis algorithm with coerced acceptance rate	2011	Matti Vihola	1
+	Combined Parameter and State Estimation in Simulation-Based Filtering	2001	Jane Liu West Mike	1
+ PDF Chat	Rates of convergence in the central limit theorem for empirical processes	1986	Pascal Massart	1
+ PDF Chat	Effective sample size for importance sampling based on discrepancy measures	2016	Luca Martino Vı́ctor Elvira Francisco Louzada	1
+ PDF Chat	Sequential importance sampling for structural reliability analysis	2016	Iason Papaioannou Costas Papadimitriou Dániel Straub	1
+	Frontiers of Statistical Decision Making and Bayesian Analysis	2010	Ming‐Hui Chen Peter Müller Dongchu Sun Keying Ye Dipak K. Dey	1
+	Bayesian Inference in Statistical Analysis	1992	George E. P. Box George C. Tiao	1
+	Covariance inequalities for strongly mixing processes	1993	Emmanuel Rio	1
+	Importance Sampling: Intrinsic Dimension and Computational Cost	2017	Sergios Agapiou Omiros Papaspiliopoulos Daniel Sanz-Alonso Andrew M. Stuart	1
+ PDF Chat	Assessing the Impact of Retreat Mechanisms in a Simple Antarctic Ice Sheet Model Using Bayesian Calibration	2017	Kelsey L. Ruckert Gary Shaffer David Pollard Yawen Guan Tony E. Wong Chris E. Forest Klaus Keller	1
+ PDF Chat	Iterative Importance Sampling Algorithms for Parameter Estimation	2018	Matthias Morzfeld Marc Day Ray Grout George Shu Heng Pau Stefan Finsterle John B. Bell	1
+ PDF Chat	A review of multiple try MCMC algorithms for signal processing	2018	Luca Martino	1
+ PDF Chat	Particle Filtering for Stochastic Navier--Stokes Signal Observed with Linear Additive Noise	2018	Francesc Pons Llopis Nikolas Kantas Alexandros Beskos Ajay Jasra	1
+ PDF Chat	A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems	2014	Noémi Petra James L. Martin Georg Stadler Omar Ghattas	1
+ PDF Chat	Using direct policy search to identify robust strategies in adapting to uncertain sea-level rise and storm surge	2018	Gregory G. Garner Klaus Keller	1
+ PDF Chat	Dimension Reduction for Gaussian Process Emulation: An Application to the Influence of Bathymetry on Tsunami Heights	2017	Xiaoyu Liu Serge Guillas	1
+ PDF Chat	A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet	2020	Ben Seiyon Lee Murali Haran Robert W. Fuller David Pollard Klaus Keller	1
+	AN ESSAY TOWARDS SOLVING A PROBLEM IN THE DOCTRINE OF CHANCES	1958	BAYES	1
+	Nonasymptotic analysis of adaptive and annealed Feynman–Kac particle models	2016	François Giraud Pierre Del Moral	1
+	On Particle Methods for Parameter Estimation in State-Space Models	2015	Nikolas Kantas Arnaud Doucet Sumeetpal S. Singh J.M. Maciejowski Nicolás Chopin	1