Alfredo Garbuno-Iñigo

Generating author description...

All published works

Action	Title	Year	Authors
+	Bayesian Posterior Perturbation Analysis with Integral Probability Metrics	2023	Alfredo Garbuno-Iñigo Tapio Helin Franca Hoffmann Bamdad Hosseini
+ PDF Chat	Effect of Mexico’s vaccination program on Covid-19 cases, hospitalizations, and deaths among older adults in Mexico City	2022	Natalie C. Gasca Jose Reyes-Garza Susana Lozano-Esparza Pedro Orozco-del Pino Antonio Olivas‐Martínez Ernesto Ulloa‐Pérez Alfredo Garbuno-Iñigo Jesús Arroyo
+ PDF Chat	Epidemic management and control through risk-dependent individual contact interventions	2022	Tapio Schneider Oliver R. A. Dunbar Jinlong Wu Lucas Böttcher Dmitry Burov Alfredo Garbuno-Iñigo Gregory LeClaire Wagner Sen Pei Chiara Daraio Raffaele Ferrari
+ PDF Chat	Epidemic Management and Control Through Risk-Dependent Individual Contact Interventions	2021	Tapio Schneider Oliver R. A. Dunbar Jinlong Wu Lucas Böttcher Dmitry Burov Alfredo Garbuno-Iñigo Gregory L. Wagner Sen Pei Chiara Daraio Raffaele Ferrari
+ PDF Chat	Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM	2021	Oliver R. A. Dunbar Alfredo Garbuno-Iñigo Tapio Schneider Andrew M. Stuart
+	Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM	2021	Oliver R. A. Dunbar Tapio Schneider Andrew M. Stuart Alfredo Garbuno-Iñigo
+	Calibrate, emulate, sample	2020	Emmet Cleary Alfredo Garbuno-Iñigo Shiwei Lan Tapio Schneider Andrew M. Stuart
+ PDF Chat	Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler	2020	Alfredo Garbuno-Iñigo Franca Hoffmann Wuchen Li Andrew M. Stuart
+	History matching with probabilistic emulators and active learning	2020	Alfredo Garbuno-Iñigo F.A. DiazDelaO Konstantin M. Zuev
+ PDF Chat	Affine Invariant Interacting Langevin Dynamics for Bayesian Inference	2020	Alfredo Garbuno-Iñigo Nikolas Nüsken Sebastian Reich
+	Affine invariant interacting Langevin dynamics for Bayesian inference	2019	Alfredo Garbuno-Iñigo Nikolas Nüsken Sebastian Reich
+	Interacting Langevin Diffusions: Gradient Structure And Ensemble Kalman Sampler	2019	Alfredo Garbuno-Iñigo Franca Hoffmann Wuchen Li Andrew M. Stuart
+	Affine invariant interacting Langevin dynamics for Bayesian inference	2019	Alfredo Garbuno-Iñigo Nikolas Nüsken Stephanie Reich
+	Interacting Langevin Diffusions: Gradient Structure And Ensemble Kalman Sampler	2019	Alfredo Garbuno-Iñigo Franca Hoffmann Wuchen Li Andrew M. Stuart
+ PDF Chat	Bayesian updating and model class selection with Subset Simulation	2017	F.A. DiazDelaO Alfredo Garbuno-Iñigo Siu‐Kui Au Ikumasa Yoshida
+ PDF Chat	Gaussian process hyper-parameter estimation using Parallel Asymptotically Independent Markov Sampling	2016	Alfredo Garbuno-Iñigo F.A. DiazDelaO Konstantin M. Zuev
+ PDF Chat	TRANSITIONAL ANNEALED ADAPTIVE SLICE SAMPLING FOR GAUSSIAN PROCESS HYPER-PARAMETER ESTIMATION	2016	Alfredo Garbuno-Iñigo F.A. DiazDelaO Konstantin M. Zuev
+	Gaussian process hyper-parameter estimation using parallel asymptotically independent Markov sampling	2015	Alfredo Garbuno-Iñigo F.A. DiazDelaO Konstantin M. Zuev

Common Coauthors

Coauthor	Papers Together
Andrew M. Stuart	6
F.A. DiazDelaO	5
Tapio Schneider	5
Franca Hoffmann	4
Oliver R. A. Dunbar	4
Konstantin M. Zuev	4
Nikolas Nüsken	3
Wuchen Li	3
Dmitry Burov	2
Lucas Böttcher	2
Sen Pei	2
Jeffrey Shaman	2
Sebastian Reich	2
Chiara Daraio	2
Jesús Arroyo	1
Jinlong Wu	1
Jose Reyes-Garza	1
Tapio Helin	1
Raffaele Ferrari	1
Jinlong Wu	1
Gregory L. Wagner	1
Shiwei Lan	1
Gregory LeClaire Wagner	1
Bamdad Hosseini	1
Susana Lozano-Esparza	1
Ikumasa Yoshida	1
Ernesto Ulloa‐Pérez	1
Antonio Olivas‐Martínez	1
Emmet Cleary	1
Natalie C. Gasca	1
Pedro Orozco-del Pino	1
Siu‐Kui Au	1
Stephanie Reich	1
Raffaele Ferrari	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Analysis of the Ensemble Kalman Filter for Inverse Problems	2017	Claudia Schillings Andrew M. Stuart	6
+ PDF Chat	Ensemble preconditioning for Markov chain Monte Carlo simulation	2017	Benedict Leimkuhler Charles H. Matthews Jonathan Weare	4
+	Data Assimilation: A Mathematical Introduction	2015	Kody J. H. Law Andrew M. Stuart Konstantinos C. Zygalakis	4
+ PDF Chat	Ensemble samplers with affine invariance	2010	Jonathan Goodman Jonathan Weare	4
+ PDF Chat	Ensemble Kalman methods for inverse problems	2013	Marco Iglesias Kody J. H. Law Andrew M. Stuart	4
+	MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster	2013	Simon L. Cotter Gareth O. Roberts Andrew M. Stuart David White	4
+	The Variational Formulation of the Fokker--Planck Equation	1998	Richard W. Jordan David Kinderlehrer Félix Otto	4
+ PDF Chat	Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods	2011	Mark Girolami Ben Calderhead	4
+ PDF Chat	Analysis of the Ensemble and Polynomial Chaos Kalman Filters in Bayesian Inverse Problems	2015	Oliver G. Ernst Björn Sprungk Hans-Jörg Starkloff	4
+	A Generalization of Onsager’s Reciprocity Relations to Gradient Flows with Nonlinear Mobility	2016	Alexander Mielke D. R. Michiel Renger Mark A. Peletier	4
+ PDF Chat	Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler	2020	Alfredo Garbuno-Iñigo Franca Hoffmann Wuchen Li Andrew M. Stuart	4
+	Probabilistic Inference Using Markov Chain Monte Carlo Methods	2011	Radford M. Neal	3
+	Introduction to Monte Carlo Methods	1998	David Mackay	3
+ PDF Chat	An Adaptive Sequential Monte Carlo Sampler	2013	Paul Fearnhead Benjamín M. Taylor	3
+ PDF Chat	A regularizing iterative ensemble Kalman method for PDE-constrained inverse problems	2016	Marco Iglesias	3
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	3
+ PDF Chat	Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations	2017	Tapio Schneider Shiwei Lan Andrew M. Stuart J. Teixeira	3
+ PDF Chat	Discrete gradients for computational Bayesian inference	2019	Sahani Pathiraja Sebastian Reich	3
+ PDF Chat	Optimal Scaling of Discrete Approximations to Langevin Diffusions	1998	Gareth O. Roberts Jeffrey S. Rosenthal	3
+ PDF Chat	Iterative regularization for ensemble data assimilation in reservoir models	2014	Marco Iglesias	3
+ PDF Chat	Long-Time Stability and Accuracy of the Ensemble Kalman--Bucy Filter for Fully Observed Processes and Small Measurement Noise	2018	Jana de Wiljes Sebastian Reich Wilhelm Stannat	3
+	Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging	2007	Jianye Ching Ying‐Chu Chen	3
+ PDF Chat	Ensemble Kalman inversion: a derivative-free technique for machine learning tasks	2019	Nikola B. Kovachki Andrew M. Stuart	3
+	Stochastic Processes and Applications: Diffusion Processes, the Fokker-Planck and Langevin Equations	2014	Grigorios A. Pavliotis	3
+ PDF Chat	Sequential Monte Carlo Samplers	2006	Pierre Del Moral Arnaud Doucet Ajay Jasra	3
+	Posterior consistency for Gaussian process approximations of Bayesian posterior distributions	2016	Andrew M. Stuart Aretha L. Teckentrup	3
+	Exponential convergence toward equilibrium for homogeneous Fokker-Planck-type equations	1998	José A. Carrillo Giuseppe Toscani	2
+	Ensemble transform Kalman–Bucy filters	2013	Javier Amezcua Kayo Ide Eugenia Kalnay Sebastian Reich	2
+	None	2002	Gareth O. Roberts Osnat Stramer	2
+	Geometric integration using discrete gradients	1999	Robert I. McLachlan G. Quispel Nicolas Robidoux	2
+ PDF Chat	A Computationally Stable Approach to Gaussian Process Interpolation of Deterministic Computer Simulation Data	2011	Pritam Ranjan Ronald D. Haynes Richard Karsten	2
+ PDF Chat	Nonlinear diffusion equations with variable coefficients as gradient flows in Wasserstein spaces	2008	Stefano Lisini	2
+	Global optimization using the asymptotically independent Markov sampling method	2013	Konstantin M. Zuev James L. Beck	2
+	Optimal scaling for various Metropolis-Hastings algorithms	2001	Gareth O. Roberts Jeffrey S. Rosenthal	2
+	Optimal acceptance rates for Metropolis algorithms: Moving beyond 0.234	2008	Mylène Bédard	2
+ PDF Chat	Energy-diminishing integration of gradient systems	2013	Ernst Hairer Christian Lubich	2
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	2
+	Stochastic Analysis on Manifolds	2002	Elton P. Hsu	2
+	Statistical and Computational Inverse Problems	2005	Jari P. Kaipio Erkki Somersalo	2
+ PDF Chat	A Nonparametric Ensemble Transform Method for Bayesian Inference	2013	Sebastian Reich	2
+	Objective Bayesian analysis of spatial data with measurement error	2007	Victor De Oliveira	2
+	A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem	2000	Jean‐David Benamou Yann Brenier	2
+ PDF Chat	TRANSITIONAL ANNEALED ADAPTIVE SLICE SAMPLING FOR GAUSSIAN PROCESS HYPER-PARAMETER ESTIMATION	2016	Alfredo Garbuno-Iñigo F.A. DiazDelaO Konstantin M. Zuev	2
+ PDF Chat	Recurrence and Invariant Measures for Degenerate Diffusions	1987	Wolfgang Kliemann	2
+ PDF Chat	Particle Markov Chain Monte Carlo Methods	2010	Christophe Andrieu Arnaud Doucet Roman Holenstein	2
+ PDF Chat	Approximate McKean–Vlasov representations for a class of SPDEs	2009	Dan Crisan Jie Xiong	2
+ PDF Chat	Bayesian Measures of Model Complexity and Fit	2002	David J. Spiegelhalter Nicola Best Bradley P. Carlin Angelika van der Linde	2
+ PDF Chat	Feedback Particle Filter	2013	Tao Yang Prashant G. Mehta Sean Meyn	2
+	Asymptotically Independent Markov Sampling: a new MCMC scheme for Bayesian Inference	2011	James L. Beck Konstantin M. Zuev	2
+	ON CONVEX SOBOLEV INEQUALITIES AND THE RATE OF CONVERGENCE TO EQUILIBRIUM FOR FOKKER-PLANCK TYPE EQUATIONS	2001	Anton Arnold Peter A. Markowich Giuseppe Toscani Andreas Unterreiter	2