Cecilia F. Mondaini

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All published works

Action	Title	Year	Authors
+ PDF Chat	On the convergence of trajectory statistical solutions	2024	Anne C. Bronzi Cecilia F. Mondaini Ricardo Rosa
+ PDF Chat	Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks	2024	Nathan Glatt-Holtz Andrew J. Holbrook Justin Krometis Cecilia F. Mondaini Ami Sheth
+	On the locally self-similar blowup for the generalized SQG equation	2024	Anne C. Bronzi Ricardo Guimarães Cecilia F. Mondaini
+ PDF Chat	Long-term accuracy of numerical approximations of SPDEs with the stochastic Navier–Stokes equations as a paradigm	2024	Nathan Glatt-Holtz Cecilia F. Mondaini
+	Parallel MCMC algorithms: theoretical foundations, algorithm design, case studies	2024	Nathan Glatt-Holtz Andrew J. Holbrook Justin Krometis Cecilia F. Mondaini
+	On the locally self-similar blowup for the generalized SQG equation	2024	Anne C. Bronzi Ricardo Guimarães Cecilia F. Mondaini
+ PDF Chat	On the Locally Self-Similar Blowup for the Generalized Sqg Equation	2024	Anne C. Bronzi Ricardo Guimarães Cecilia F. Mondaini
+ PDF Chat	On the accept–reject mechanism for Metropolis–Hastings algorithms	2023	Nathan Glatt-Holtz Justin Krometis Cecilia F. Mondaini
+	Long-term accuracy of numerical approximations of SPDEs with the stochastic Navier-Stokes equations as a paradigm	2023	Nathan Glatt-Holtz Cecilia F. Mondaini
+	Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies	2022	Nathan Glatt-Holtz Andrew J. Holbrook Justin Krometis Cecilia F. Mondaini
+ PDF Chat	Mixing rates for Hamiltonian Monte Carlo algorithms in finite and infinite dimensions	2021	Nathan Glatt-Holtz Cecilia F. Mondaini
+	Mixing Rates for Hamiltonian Monte Carlo Algorithms in Finite and Infinite Dimensions	2020	Nathan Glatt-Holtz Cecilia F. Mondaini
+	On the accept-reject mechanism for Metropolis-Hastings algorithms	2020	Nathan Glatt-Holtz Justin Krometis Cecilia F. Mondaini
+	Mixing Rates for Hamiltonian Monte Carlo Algorithms in Finite and Infinite Dimensions	2020	Nathan Glatt-Holtz Cecilia F. Mondaini
+	Downscaling data assimilation algorithm with applications to statistical solutions of the Navier–Stokes equations	2018	Cecilia F. Mondaini Edriss S. Titi Animikh Biswas Ciprian Foiaş
+	Uniform in time error estimates for fully discrete numerical schemes of a data assimilation algorithm	2018	Hussain Ibdah Cecilia F. Mondaini Edriss S. Titi
+	Downscaling data assimilation algorithm with applications to statistical solutions of the Navier-Stokes equations	2017	Animikh Biswas Ciprian Foiaş Cecilia F. Mondaini Edriss S. Titi
+	Downscaling data assimilation algorithm with applications to statistical solutions of the Navier-Stokes equations	2017	Animikh Biswas Ciprian Foiaş Cecilia F. Mondaini Edriss S. Titi
+	Postprocessing Galerkin method applied to a data assimilation algorithm: a uniform in time error estimate	2016	Cecilia F. Mondaini Edriss S. Titi
+	Abstract framework for the theory of statistical solutions	2016	Anne C. Bronzi Cecilia F. Mondaini Ricardo Rosa
+	A discrete data assimilation scheme for the solutions of the 2D Navier-Stokes equations and their statistics	2016	Ciprian Foiaş Cecilia F. Mondaini Edriss S. Titi
+ PDF Chat	A Discrete Data Assimilation Scheme for the Solutions of the Two-Dimensional Navier--Stokes Equations and Their Statistics	2016	Ciprian Foiaş Cecilia F. Mondaini Edriss S. Titi
+	Postprocessing Galerkin method applied to a data assimilation algorithm: a uniform in time error estimate	2016	Cecilia F. Mondaini Edriss S. Titi
+	Abstract Framework for the Theory of Statistical Solutions	2015	Anne C. Bronzi Cecilia F. Mondaini Ricardo Rosa
+	Abstract Framework for the Theory of Statistical Solutions	2015	Anne C. Bronzi Cecilia F. Mondaini Ricardo Rosa
+ PDF Chat	Trajectory Statistical Solutions for Three-Dimensional Navier--Stokes-Like Systems	2014	Anne C. Bronzi Cecilia F. Mondaini Ricardo Rosa

Common Coauthors

Coauthor	Papers Together
Nathan Glatt-Holtz	10
Edriss S. Titi	8
Anne C. Bronzi	8
Ciprian Foiaş	5
Ricardo Rosa	5
Justin Krometis	5
Andrew J. Holbrook	3
Animikh Biswas	3
Ricardo Guimarães	3
Hussain Ibdah	1
Ami Sheth	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Infinite Dimensional Analysis: A Hitchhiker's Guide	2014	Charalambos D. Aliprantis Kim C. Border	6
+	Stochastic Equations in Infinite Dimensions	2014	Giuseppe Da Prato Jerzy Zabczyk	5
+	Sur le comportement global des solutions non-stationnaires des équations de Navier-Stokes en dimension $2$	1967	Ciprian Foiaş G. A. Prodi	5
+ PDF Chat	A Computational Study of a Data Assimilation Algorithm for the Two-dimensional Navier-Stokes Equations	2016	Masakazu Gesho Eric J. Olson Edriss S. Titi	5
+ PDF Chat	Continuous data assimilation for the 2D Bénard convection through velocity measurements alone	2015	Aseel Farhat Michael S. Jolly Edriss S. Titi	5
+	Navier-Stokes Equations and Nonlinear Functional Analysis	1987	Roger Témam	5
+ PDF Chat	Continuous Data Assimilation Using General Interpolant Observables	2013	Abderrahim Azouani Eric J. Olson Edriss S. Titi	5
+	Data assimilation algorithm for 3D Bénard convection in porous media employing only temperature measurements	2016	Aseel Farhat Evelyn Lunasin Edriss S. Titi	4
+ PDF Chat	MCMC METHODS FOR DIFFUSION BRIDGES	2008	Alexandros Beskos Gareth O. Roberts Andrew M. Stuart Jochen Voß	4
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	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
+	Hybrid Monte Carlo on Hilbert spaces	2011	Alexandros Beskos F. J. Pinski J. M. Sanz‐Serna Andrew M. Stuart	4
+ PDF Chat	Discrete data assimilation in the Lorenz and 2D Navier–Stokes equations	2011	Kevin Hayden Eric J. Olson Edriss S. Titi	4
+ PDF Chat	Determination of the solutions of the Navier-Stokes equations by a set of nodal values	1984	Ciprian Foiaş Roger Témam	4
+ PDF Chat	Spectral gaps for a Metropolis–Hastings algorithm in infinite dimensions	2014	Martin Hairer Andrew M. Stuart Sebastian J. Vollmer	4
+ PDF Chat	Continuous data assimilation with stochastically noisy data	2015	Hakima Bessaih Eric J. Olson Edriss S. Titi	4
+ PDF Chat	Accuracy and stability of the continuous-time 3DVAR filter for the Navier–Stokes equation	2013	Dirk Blömker Kody J. H. Law Andrew M. Stuart Konstantinos C. Zygalakis	4
+ PDF Chat	Abridged Continuous Data Assimilation for the 2D Navier–Stokes Equations Utilizing Measurements of Only One Component of the Velocity Field	2015	Aseel Farhat Evelyn Lunasin Edriss S. Titi	4
+ PDF Chat	Inverse problems: A Bayesian perspective	2010	Andrew M. Stuart	4
+ PDF Chat	A note on Metropolis-Hastings kernels for general state spaces	1998	Luke Tierney	4
+ PDF Chat	MCMC Using Hamiltonian Dynamics	2011	Radford M. Neal	3
+	Ergodic Behavior of Markov Processes	2017	Alexei Kulik	3
+ 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	3
+	Statistical and Computational Inverse Problems	2005	Jari P. Kaipio Erkki Somersalo	3
+	Real Analysis: Modern Techniques and Their Applications	1984	Gerald B. Folland	3
+ PDF Chat	FEM-based discretization-invariant MCMC methods for PDE-constrained Bayesian inverse problems	2016	Tan Bui‐Thanh Quoc Phong Nguyen	3
+	Navier–Stokes Equations and Nonlinear Functional Analysis	1995	Roger Témam	3
+	Mathematics of Two-Dimensional Turbulence	2012	Sergei Kuksin Armen Shirikyan	3
+ PDF Chat	Invariant measures of stochastic partial differential equations and conditioned diffusions	2005	Maria G. Reznikoff Eric Vanden‐Eijnden	3
+	The Convergence of Markov Chain Monte Carlo Methods: From the Metropolis Method to Hamiltonian Monte Carlo	2018	Michael Betancourt	3
+ PDF Chat	Compactness and Tightness in a Space of Measures with the Topology of Weak Convergence.	1974	Flemming Topsøe	3
+ PDF Chat	Geometric integrators and the Hamiltonian Monte Carlo method	2018	Nawaf Bou‐Rabee J. M. Sanz‐Serna	3
+ PDF Chat	Finite determining parameters feedback control for distributed nonlinear dissipative systems -a computational study	2017	Evelyn Lunasin Edriss S. Titi	3
+	Advanced MCMC methods for sampling on diffusion pathspace	2012	Alexandros Beskos Κωνσταντίνος Καλογερόπουλος Erik Pazos	3
+	Convergence of Random Processes and Limit Theorems in Probability Theory	1956	Yu. V. Prokhorov	3
+	The Bayesian Approach to Inverse Problems	2015	Masoumeh Dashti Andrew M. Stuart	3
+ PDF Chat	Analysis of SPDEs arising in path sampling. Part I: The Gaussian case	2005	Martin Hairer Andrew M. Stuart Jochen Voß Petter Wiberg	3
+	Probabilistic Inference Using Markov Chain Monte Carlo Methods	2011	Radford M. Neal	3
+	Geometric MCMC for infinite-dimensional inverse problems	2016	Alexandros Beskos Mark Girolami Shiwei Lan Patrick E. Farrell Andrew M. Stuart	3
+ PDF Chat	A note on statistical solutions of the three-dimensional Navier–Stokes equations: The time-dependent case	2010	Ciprian Foiaş Ricardo Rosa Roger Témam	3
+ PDF Chat	Sur les solutions statistiques des équations de Navier-Stokes	1976	Ciprian Foiaş G. A. Prodi	3
+	An Analysis of Infinite Dimensional Bayesian Inverse Shape Acoustic Scattering and Its Numerical Approximation	2014	Tan Bui‐Thanh Omar Ghattas	3
+ PDF Chat	Spectral gaps in Wasserstein distances and the 2D stochastic Navier–Stokes equations	2008	Martin Hairer Jonathan C. Mattingly	3
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	3
+ PDF Chat	Yet Another Look at Harris’ Ergodic Theorem for Markov Chains	2011	Martin Hairer Jonathan C. Mattingly	3
+ PDF Chat	Asymptotic coupling and a general form of Harris’ theorem with applications to stochastic delay equations	2009	Martin Hairer Jonathan C. Mattingly Michael Scheutzow	3
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	3
+	A Stochastic Newton MCMC Method for Large-Scale Statistical Inverse Problems with Application to Seismic Inversion	2012	James L. Martin Lucas C. Wilcox Carsten Burstedde Omar Ghattas	3
+ PDF Chat	Sampling conditioned diffusions	2009	Martin Hairer Andrew M. Stuart Jochen Voß	3
+ PDF Chat	Continuous data assimilation for the three-dimensional Brinkman–Forchheimer-extended Darcy model	2016	Peter A. Markowich Edriss S. Titi Saber Trabelsi	3