Mónica F. Bugallo

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All published works

Action	Title	Year	Authors
+ PDF Chat	Fusion of Information in Multiple Particle Filtering in the Presence of Unknown Static Parameters	2024	Xiaokun Zhao Marija Iloska Yousef El-Laham Mónica F. Bugallo
+ PDF Chat	Critically Damped Third-Order Langevin Dynamics	2024	Benjamin Sterling Mónica F. Bugallo
+	Early exposure to STEM research as a foundational experience for STEM careers	2023	Marianna Savoca Karen Kernan Catherine Scott Mónica F. Bugallo
+	Recent Advances in Bayesian Inference for Complex Systems	2023	Mónica F. Bugallo
+ PDF Chat	Streaming Variational Monte Carlo	2022	Yuan Zhao Josue Nassar Ian Jordan Mónica F. Bugallo Il Memming Park
+	Adaptive Importance Sampling Via Auto-Regressive Generative Models and Gaussian Processes	2021	Hechuan Wang Mónica F. Bugallo Petar M. Djurić
+ PDF Chat	Particle Filtering Under General Regime Switching	2020	Yousef El-Laham Yang Liu Petar M. Djurić Mónica F. Bugallo
+	Particle Filtering Under General Regime Switching	2020	Yousef El-Laham Yang Liu Petar M. Djurić Mónica F. Bugallo
+ PDF Chat	A survey of Monte Carlo methods for parameter estimation	2020	David Luengo Luca Martino Mónica F. Bugallo Vı́ctor Elvira Simo Särkkä
+	Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling	2020	Yousef El-Laham Petar M. Djurić Mónica F. Bugallo
+	Particle Filtering Under General Regime Switching	2020	Yousef El-Laham Liu Yang Petar M. Djurić Mónica F. Bugallo
+ PDF Chat	Recursive Shrinkage Covariance Learning in Adaptive Importance Sampling	2019	Yousef El-Laham Vı́ctor Elvira Mónica F. Bugallo
+	Stochastic Gradient Population Monte Carlo	2019	Yousef El-Laham Mónica F. Bugallo
+ PDF Chat	Efficient Adaptive Multiple Importance Sampling	2019	Yousef El-Laham Luca Martino V́ıctor Elvira Mónica F. Bugallo
+	A Variational Adaptive Population Importance Sampler	2019	Yousef El-Laham Petar M. Djurić Mónica F. Bugallo
+ PDF Chat	Generalized Multiple Importance Sampling	2019	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+	Streaming Variational Monte Carlo	2019	Yuan Zhao Josue Nassar Ian Jordan Mónica F. Bugallo Il Memming Park
+	Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling	2018	Josue Nassar Scott W. Linderman Mónica F. Bugallo Il Memming Park
+	Improved Adaptive Importance Sampling Based on Variational Inference	2018	Matthew Dowling Josue Nassar Petar M. Djurić Mónica F. Bugallo
+	Robust Covariance Adaptation in Adaptive Importance Sampling	2018	Yousef El-Laham Vı́ctor Elvira Mónica F. Bugallo
+	Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling	2018	Josue Nassar Scott W. Linderman Mónica F. Bugallo Il Memming Park
+ PDF Chat	Sequential Monte Carlo for inference of latent ARMA time-series with innovations correlated in time	2017	Iñigo Urteaga Mónica F. Bugallo Petar M. Djurić
+	Population Monte Carlo schemes with reduced path degeneracy	2017	Vı́ctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+ PDF Chat	Novel weighting and resampling schemes in Population Monte Carlo	2017	Vı́ctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+	A new strategy for effective learning in population Monte Carlo sampling	2016	Mónica F. Bugallo Vı́ctor Elvira Luca Martino
+	Heretical Multiple Importance Sampling	2016	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+ PDF Chat	Improving population Monte Carlo: Alternative weighting and resampling schemes	2016	Vı́ctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+	Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes	2016	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+ PDF Chat	Multiple importance sampling with overlapping sets of proposals	2016	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+	Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes	2016	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+	On sample generation and weight calculation in multiple importance sampling	2015	Vı́ctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+	Generalized Multiple Importance Sampling	2015	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+ PDF Chat	Adaptive importance sampling in signal processing	2015	Mónica F. Bugallo Luca Martino Jukka Corander
+ PDF Chat	Efficient Multiple Importance Sampling Estimators	2015	Vı́ctor Elvira Luca Martino David Luengo Mónica F. Bugallo
+	Population Monte Carlo methodology a la Gibbs sampling	2011	Petar M. Djurić Bingxin Shen Mónica F. Bugallo
+	A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution	2011	Mónica F. Bugallo Shishir Dash Galina I. Botchkina Marco Lops Petar M. Djurić
+	Multiple marginalized population Monte Carlo	2010	Bingxin Shen Mónica F. Bugallo Petar M. Djurić
+	Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation	2010	Mingyi Hong Mónica F. Bugallo Petar M. Djurić
+	Evaluation of a method's robustness	2010	Petar M. Djurić Pau Closas Mónica F. Bugallo Joaquı́n Mı́guez
+	A stochastic model of proliferation of cancer stem cells and its estimation by particle filtering	2010	Mónica F. Bugallo Galina I. Botchkina Petar M. Djurić
+	Measuring the robustness of sequential methods	2009	Petar M. Djurić Mónica F. Bugallo Pau Closas Joaquı́n Mı́guez
+	Assessing robustness of particle filtering by the Kolmogorov-Smirnov statistics	2009	Pau Closas Mónica F. Bugallo Petar M. Djurić
+	Marginalized population Monte Carlo	2009	Mónica F. Bugallo Mingyi Hong Petar M. Djurić
+	Particle filtering	2003	Petar M. Djurić J.H. Kotecha Jianqui Zhang Yufei Huang Tadesse Ghirmai Mónica F. Bugallo Joaquı́n Mı́guez
+	Particle Filtering	2003	Petar M. Djurić J.H. Kotecha J. Zhang Yufei Huang Tadesse Ghirmai Mónica F. Bugallo Joaquı́n Mı́guez

Common Coauthors

Coauthor	Papers Together
Petar M. Djurić	19
V́ıctor Elvira	16
Luca Martino	15
David Luengo	12
Yousef El-Laham	10
Josue Nassar	5
Il Memming Park	4
Joaquı́n Mı́guez	4
Pau Closas	3
Yuan Zhao	2
Galina I. Botchkina	2
Tadesse Ghirmai	2
Ian Jordan	2
Mingyi Hong	2
Yang Liu	2
Bingxin Shen	2
Scott W. Linderman	2
J.H. Kotecha	2
Benjamin Sterling	1
Jukka Corander	1
J. Zhang	1
Marianna Savoca	1
Iñigo Urteaga	1
Matthew Dowling	1
Marija Iloska	1
Karen Kernan	1
Yufei Huang	1
Marco Lops	1
Simo Särkkä	1
Liu Yang	1
Xiaokun Zhao	1
Catherine Scott	1
Yufei Huang	1
Hechuan Wang	1
Shishir Dash	1
Jianqui Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Population Monte Carlo	2004	Olivier Cappé A Guillin Jean‐Michel Marin Christian P. Robert	26
+ PDF Chat	Adaptive Multiple Importance Sampling	2012	Jean‐Marie Cornuet Jean‐Michel Marin Antonietta Mira Christian P. Robert	20
+ PDF Chat	An Adaptive Population Importance Sampler: Learning From Uncertainty	2015	Luca Martino V́ıctor Elvira David Luengo Jukka Corander	17
+ PDF Chat	Adaptive importance sampling in general mixture classes	2008	Olivier Cappé Randal Douc Arnaud Guillin Jean‐Michel Marin Christian P. Robert	16
+	Safe and Effective Importance Sampling	2000	Art B. Owen Yi Zhou	14
+	Novel approach to nonlinear/non-Gaussian Bayesian state estimation	1993	Neil Gordon David Salmond A. F. M. Smith	13
+ PDF Chat	Minimum variance importance sampling<i>via</i>Population Monte Carlo	2007	Randal Douc Arnaud Guillin Jean‐Michel Marin Christian P. Robert	12
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	12
+ PDF Chat	Generalized Multiple Importance Sampling	2019	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo	9
+ PDF Chat	Improving population Monte Carlo: Alternative weighting and resampling schemes	2016	Vı́ctor Elvira Luca Martino David Luengo Mónica F. Bugallo	9
+ PDF Chat	Efficient Multiple Importance Sampling Estimators	2015	Vı́ctor Elvira Luca Martino David Luengo Mónica F. Bugallo	8
+ PDF Chat	A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models	2013	Eugenia Koblents Joaquı́n Mı́guez	8
+	Bayesian Inference in Econometric Models Using Monte Carlo Integration	1989	John Geweke	8
+	Particle filtering	2003	Petar M. Djurić J.H. Kotecha Jianqui Zhang Yufei Huang Tadesse Ghirmai Mónica F. Bugallo Joaquı́n Mı́guez	8
+ PDF Chat	Layered adaptive importance sampling	2016	Luca Martino Vı́ctor Elvira David Luengo Jukka Corander	7
+	Particle Filtering	2003	Petar M. Djurić J.H. Kotecha J. Zhang Yufei Huang Tadesse Ghirmai Mónica F. Bugallo Joaquı́n Mı́guez	7
+ PDF Chat	Iterated importance sampling in missing data problems	2005	Gilles Celeux Jean‐Michel Marin Christian P. Robert	7
+ PDF Chat	Population Monte Carlo algorithms.	2001	Yukito Iba	6
+	An Adaptive Population Importance Sampler: Learning from the Uncertanity	2014	Luca Martino Vı́ctor Elvira David Luengo Jukka Corander	6
+	Methods of Reducing Sample Size in Monte Carlo Computations	1953	Herman Kahn Andrew W. Marshall	6
+	Combined Parameter and State Estimation in Simulation-Based Filtering	2001	Jane Liu West Mike	6
+	A tutorial on adaptive MCMC	2008	Christophe Andrieu Johannes Thoms	6
+ PDF Chat	Sequential Monte Carlo Samplers	2006	Pierre Del Moral Arnaud Doucet Ajay Jasra	6
+	None	2000	Arnaud Doucet Simon Godsill Christophe Andrieu	6
+	Generalized Multiple Importance Sampling	2015	V́ıctor Elvira Luca Martino David Luengo Mónica F. Bugallo	5
+ PDF Chat	An Adaptive Metropolis Algorithm	2001	Heikki Haario Eero Saksman J. Tamminen	5
+ PDF Chat	An adaptive population importance sampler	2014	Luca Martino Vı́ctor Elvira David Luengo Jukka Corander	5
+ PDF Chat	Generalized rejection sampling schemes and applications in signal processing	2010	Luca Martino Joaquı́n Mı́guez	5
+ PDF Chat	Adaptive importance sampling in signal processing	2015	Mónica F. Bugallo Luca Martino Jukka Corander	5
+ PDF Chat	Adaptive population importance samplers: A general perspective	2016	Luca Martino V́ıctor Elvira David Luengo Francisco Louzada	4
+ PDF Chat	Advances in Variational Inference	2018	Cheng Zhang Judith Bütepage Hedvig Kjellström Stephan Mandt	4
+	Sequential Imputations and Bayesian Missing Data Problems	1994	Augustine Kong Jun S. Liu Wing Hung Wong	4
+	A fast universal self-tuned sampler within Gibbs sampling	2015	Luca Martino Huinan Yang David Luengo Juho Kanniainen Jukka Corander	4
+	Markov chain importance sampling with applications to rare event probability estimation	2011	Zdravko I. Botev Pierre L’Ecuyer Bruno Tuffin	4
+	MCMC-Driven Adaptive Multiple Importance Sampling	2015	Luca Martino Vı́ctor Elvira David Luengo Jukka Corander	4
+	Marginalized population Monte Carlo	2009	Mónica F. Bugallo Mingyi Hong Petar M. Djurić	4
+	Variational Inference: A Review for Statisticians	2017	David M. Blei Alp Kucukelbir Jon McAuliffe	3
+	Variational Joint Filtering	2017	Yuan Zhao Il Memming Park	3
+	Weighted Average Importance Sampling and Defensive Mixture Distributions	1995	Tim Hesterberg	3
+	Consistency of the Adaptive Multiple Importance Sampling	2012	Jean‐Michel Marin Pierre Pudlo Mohammed Sedki	3
+ PDF Chat	On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation	2008	Alessandra Iacobucci Jean‐Michel Marin Christian P. Robert	3
+	On adaptive resampling strategies for sequential Monte Carlo methods	2012	Pierre Del Moral Arnaud Doucet Ajay Jasra	3
+	Random Number Generation and Quasi-Monte Carlo Methods.	1993	Bruce Jay Collings Harald Niederreiter	3
+	Local Adaptive Importance Sampling for Multivariate Densities with Strong Nonlinear Relationships	1996	Geof H. Givens Adrian E. Raftery	3
+ PDF Chat	Effective sample size for importance sampling based on discrepancy measures	2016	Luca Martino Vı́ctor Elvira Francisco Louzada	3
+	Markov chain Monte Carlo methods with applications to signal processing	2001	WJ Fitzgerald	3
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	3
+ PDF Chat	Rates of convergence of the Hastings and Metropolis algorithms	1996	Kerrie Mengersen Richard L. Tweedie	3
+	A gradient adaptive population importance sampler	2015	V́ıctor Elvira Luca Martino David Luengo Jukka Corander	3
+	Comparison of resampling schemes for particle filtering	2005	Randal Douc Olivier Cappé	3