An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis - San Millan-Castillo, Roberto; Martino, Luca; Morgado, Eduardo; Llorente, Fernando (Ieee-Acm Transactions On Audio Speech And Language Processing, 2022)

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals - Rey, S; Tenorio, V; Rozada, S; Martino, L; Marques, AG (Conference Record Of The Asilomar Conference On Signals, Systems And Computers, 2019)

On the safe use of prior densities for Bayesian model selection - Llorente, Fernando; Martino, Luca; Curbelo, Ernesto; Lopez-Santiago, Javier; Delgado, David (Wiley Interdisciplinary Reviews: Computational Statistics, 2023)

MCMC-driven importance samplers - Llorente, F.; Curbelo, E.; Martino, L.; Elvira, V.; Delgado, D. (Applied Mathematical Modelling, 2022)

Rethinking the Effective Sample Size - Elvira V; Martino L; Robert CP (INTERNATIONAL STATISTICAL REVIEW, 2022)

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions - Heestermans Svendsen, Daniel; Piles, Maria; Munoz-Mari, Jordi; Luengo, David; Martino, Luca; Camps-Valls, Gustau (Ieee Transactions On Geoscience And Remote Sensing, 2022)

Retrieval of Physical Parameters With Deep Structured Kernel Regression - Camps-Valls, Gustau; Campos-Taberner, Manuel; Laparra, Valero; Martino, Luca; Munoz-Mari, Jordi (Ieee Transactions On Geoscience And Remote Sensing, 2022)

A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers - Martino, Luca; Read, Jesse (Information Fusion, 2021)

Compressed Particle Methods for Expensive Models with Application in Astronomy and Remote Sensing - Martino, Luca; Elvira, Victor; Lopez-Santiago, Javier; Camps-Valls, Gustau (IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2021)

Compressed Monte Carlo with application in particle filtering - Martino, Luca; Elvira, Victor (Information Sciences, 2021)

Importance Gaussian Quadrature - Elvira, Victor; Martino, Luca; Closas, Pau (Ieee Transactions On Signal Processing, 2021)

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data - Berger, Katja; Rivera Caicedo, Juan Pablo; Martino, Luca; Wocher, Matthias; Hank, Tobias; Verrelst, Jochem (Remote Sensing, 2021)

Probabilistic regressor chains with Monte Carlo methods - Read, Jesse; Martino, Luca (Neurocomputing, 2020)

Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0) - Vicent, Jorge; Verrelst, Jochem; Sabater, Neus; Alonso, Luis; Pablo Rivera-Caicedo, Juan; Martino, Luca; Munoz-Mari, Jordi; Moreno, Jose (Geoscientific Model Development, 2020)

Active emulation of computer codes with Gaussian processes Application to remote sensing - Heestermans Svendsen, Daniel; Martino, Luca; Camps-Valls, Gustau (Pattern Recognition, 2020)

ADAPTIVE SEQUENTIAL INTERPOLATOR USING ACTIVE LEARNING FOR EFFICIENT EMULATION OF COMPLEX SYSTEMS - Martino, L; Svendsen, DH; Vicent, J; Camps-Valls, G (2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp), 2020)

PARTICLE GROUP METROPOLIS METHODS FOR TRACKING THE LEAF AREA INDEX - Martino, L; Elvira, V; Camps-Valls, G (2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp), 2020)

Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling - Elvira, Victor; Martino, Luca; Bugallo, Monica F.; Djuric, Petar M. (Ieee Signal Processing Magazine, 2019)

Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels - Martino, Luca; Luengo, David (Communications In Statistics-Simulation And Computation, 2019)

Parallel Metropolis-Hastings Coupler - Llorente, Fernando; Martino, Luca; Delgado, David (IEEE SIGNAL PROCESSING LETTERS, 2019)

Adaptive rejection sampling with fixed number of nodes - Martinelli, Lucas; Smiraglia, Romina (Communications In Statistics-Simulation And Computation, 2019)

Generalized multiple importance sampling - Elvira V; Martino L; Luengo D; Bugallo M (Statistical Science, 2019)

Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models - Vicent Servera, Jorge; Alonso, Luis; Martino, Luca; Sabater, Neus; Verrelst, Jochem; Camps-Valls, Gustau; Moreno, Jose (Ieee Transactions On Geoscience And Remote Sensing, 2019)

Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation - Elvira V; Closas P; Martino L (28th European Signal Processing Conference (Eusipco 2020), 2019)

Group Importance Sampling for particle filtering and MCMC - Martino, Luca; Elvira, Victor; Camps-Valls, Gustau (Digital Signal Processing, 2018)

Physics-aware Gaussian processes in remote sensing - Camps-Valls, Gustau; Martino, Luca; Svendsen, Daniel H.; Campos-Taberner, Manuel; Munoz-Mari, Jordi; Laparra, Valero; Luengo, David; Javier Garcia-Haro, Francisco (Applied Soft Computing, 2018)

Efficient linear fusion of partial estimators - Luengo, David; Martino, Luca; Elvira, Victor; Bugallo, Monica (Digital Signal Processing, 2018)

A review of multiple try MCMC algorithms for signal processing - Martino, Luca (Digital Signal Processing, 2018)

Joint Gaussian Processes for Biophysical Parameter Retrieval - Heestermans Svendsen, Daniel; Martino, Luca; Campos-Taberner, Manuel; Javier Garcia-Haro, Francisco; Camps-Valls, Gustau (Ieee Transactions On Geoscience And Remote Sensing, 2018)

The Recycling Gibbs sampler for efficient learning - Martino, Luca; Elvira, Victor; Camps-Valls, Gustau (Digital Signal Processing, 2018)

Adaptive independent sticky MCMC algorithms - Martino, Luca; Casarin, Roberto; Leisen, Fabrizio; Luengo, David (Eurasip Journal On Advances In Signal Processing, 2018)

In Search for Improved Auxiliary Particle Filters - Elvira, Victor; Martino, Luca; Bugallo, Monica F.; Djuric, Petar M.; (28th European Signal Processing Conference (Eusipco 2020), 2018)

MULTIOUTPUT AUTOMATIC EMULATOR FOR RADIATIVE TRANSFER MODELS - Heestermans Svendsen, Daniel; Martino, Luca; Vicent, Jorge; Camps-Valls, Gustau (Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium, 2018)

DISTRIBUTED PARTICLE METROPOLIS-HASTINGS SCHEMES - Martino, Luca; Elvira, Victor; Camps-Valls, Gustau; (2018 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP), 2018)

INTERPOLATION AND GAP FILLING OF LANDSAT REFLECTANCE TIME SERIES - Moreno-Martinez, Alvaro; Maneta, Marco; Camps-Valls, Gustau; Martino, Luca; Robinson, Nathaniel; Allred, Brady; Running, Steven W. (Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium, 2018)

Parsimonious adaptive rejection sampling - Martino, L. (Electronics Letters, 2017)

Adaptive Importance Sampling: The past, the present, and the future - Bugallo M; Elvira V; Martino L; Luengo D; Miguez J; Djuric P (Ieee Signal Processing Magazine, 2017)

Layered adaptive importance sampling - Martino, L.; Elvira, V.; Luengo, D.; Corander, J. (Statistics And Computing, 2017)

Issues in the Multiple Try Metropolis mixing - Martino, L.; Louzada, F. (Computational Statistics, 2017)

Multi-label methods for prediction with sequential data - Read, Jesse; Martino, Luca; Hollmen, Jaakko (Pattern Recognition, 2017)

Improving population Monte Carlo: Alternative weighting and resampling schemes - Elvira, Victor; Martino, Luca; Luengo, David; Bugallo, Monica F. (Signal Processing, 2017)

Effective sample size for importance sampling based on discrepancy measures - Martino, Luca; Elvira, Victor; Louzada, Francisco (Signal Processing, 2017)

Cooperative parallel particle filters for online model selection and applications to urban mobility - Martino, Luca; Read, Jesse; Elvira, Victor; Louzada, Francisco (Digital Signal Processing, 2017)

JOINT GAUSSIAN PROCESSES FOR INVERSE MODELING - Heestermans Svendsen, Daniel; Martino, Luca; Campos-Taberner, Manuel; Camps-Valls, Gustau (Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium, 2017)

Automatic Emulation by Adaptive Relevance Vector Machines - Martino, Luca; Vicent, Jorge; Camps-Valls, Gustau (Lecture Notes In Computer Science, 2017)

AUTOMATIC EMULATOR AND OPTIMIZED LOOK-UP TABLE GENERATION FOR RADIATIVE TRANSFER MODELS - Martino, Luca; Vicent, Jorge; Camps-Valls, Gustau (Igarss 2018 - 2018 Ieee International Geoscience And Remote Sensing Symposium, 2017)

Group Metropolis Sampling - Martino, Luca; Elvira, Victor; Camps-Valls, Gustau; (28th European Signal Processing Conference (Eusipco 2020), 2017)

Probabilistic Cross-Validation Estimators for Gaussian Process Regression - Martino, Luca; Laparra, Valero; Camps-Valls, Gustau; (28th European Signal Processing Conference (Eusipco 2020), 2017)

Recycling Gibbs Sampling - Martino, Luca; Elvira, Victor; Camps-Valls, Gustau; (28th European Signal Processing Conference (Eusipco 2020), 2017)

Orthogonal parallel MCMC methods for sampling and optimization - Martino, L.; Elvira, V.; Luengo, D.; Corander, J.; Louzada, F. (Digital Signal Processing, 2016)

Heretical Multiple Importance Sampling - Elvira, Victor; Martino, Luca; Luengo, David; Bugallo, Monica F. (Ieee Signal Processing Letters, 2016)

Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models Contributed Discussion - Chkrebtii, Oksana A. (Bayesian Analysis, 2016)

Efficient Metropolis-Hastings Proposal Mechanisms for Bayesian Regression Tree Models Comment - Mohammadi, Abdolreza; Kaptein, Maurits (Bayesian Analysis, 2016)

A NEW STRATEGY FOR EFFECTIVE LEARNING IN POPULATION MONTE CARLO SAMPLING - Bugallo, Monica F.; Elvira, Victor; Martino, Luca (Conference Record Of The Asilomar Conference On Signals, Systems And Computers, 2016)

ALTERNATIVE EFFECTIVE SAMPLE SIZE MEASURES FOR IMPORTANCE SAMPLING - Martino, L.; Elvira, V.; Louzada, F.; (2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP), 2016)

WEIGHTING A RESAMPLED PARTICLE IN SEQUENTIAL MONTE CARLO - Martino, L.; Elvira, V.; Louzada, F.; (2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP), 2016)

Adaptive importance sampling in signal processing - Bugallo, Monica F.; Martino, Luca; Corander, Jukka (Digital Signal Processing, 2015)

A fast universal self-tuned sampler within Gibbs sampling - Martino, L.; Yang, H.; Luengo, D.; Kanniainen, J.; Corander, J. (Digital Signal Processing, 2015)

Efficient multiple importance sampling estimators - Elvira V; Martino L; Luengo D; Bugallo M (Ieee Signal Processing Letters, 2015)

An Adaptive Population Importance Sampler: Learning From Uncertainty - Martino, Luca; Elvira, Victor; Luengo, David; Corander, Jukka (Ieee Transactions On Signal Processing, 2015)

Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling - Martino, Luca; Read, Jesse; Luengo, David (Ieee Transactions On Signal Processing, 2015)

Scalable multi-output label prediction: From classifier chains to classifier trellises - Read, Jesse; Martino, Luca; Olmos, Pablo M.; Luengo, David (Pattern Recognition, 2015)

MCMC-Driven Adaptive Multiple Importance Sampling - Martino, Luca; Elvira, Victor; Luengo, David; Corander, Jukka (Springer Proceedings In Mathematics And Statistics, 2015)

On the variety of linear recurrences and numerical semigroups - Martino, Ivan; Martino, Luca (Semigroup Forum, 2014)

Efficient monte carlo methods for multi-dimensional learning with classifier chains - Read, Jesse; Martino, Luca; Luengo, David (Pattern Recognition, 2014)

On the flexibility of the design of multiple try Metropolis schemes - Martino, Luca; Read, Jesse (Computational Statistics, 2013)

Almost rejectionless sampling from Nakagami-m distributions (m >= 1) - Luengo, D.; Martino, L. (Electronics Letters, 2012)

Efficient sampling from truncated bivariate Gaussians via Box-Muller transformation - Martino, L.; Luengo, D.; Miguez, J. (Electronics Letters, 2012)

A multi-point Metropolis scheme with generic weight functions - Martino, Luca; Pascual Del Olmo, Victor; Read, Jesse (Statistics & Probability Letters, 2012)

Efficient random variable generation: ratio of uniforms and polar rejection sampling - Luengo, D.; Martino, L. (Electronics Letters, 2012)

A REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS VIA THE RATIO-OF-UNIFORMS METHOD - Martino, Luca; Miguez, Joaquin; (28th European Signal Processing Conference (Eusipco 2020), 2010)

A Multi-Model Particle Filtering Algorithm for Indoor Tracking of Mobile Terminals Using RSS Data - Achutegui, Katrin; Martino, Luca; Rodas, Javier; Escudero, Carlos J.; Miguez, Joaquin (Proceedings Of The Ieee Conference On Control Applications, 2009)

AN ADAPTIVE ACCEPT/REJECT SAMPLING ALGORITHM FOR POSTERIOR PROBABILITY DISTRIBUTIONS - Martino, Luca; Miguez, Joaquin (2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2, 2009)

A NOVEL REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS - Martino, Luca; Miguez, Joaquin; (2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp), 2009)

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking - Arulampalam, MS; Maskell, S; Gordon, N; Clapp, T (Ieee Transactions On Signal Processing, 2002)

Optimality in noisy importance sampling - Llorente, Fernando; Martino, Luca; Read, Jesse; Delgado-Gomez, David (SIGNAL PROCESSING, 2022)

A Bayesian inference and model selection algorithm with an optimization scheme to infer the model noise power - Lopez-Santiago, J.; Martino, L.; Vazquez, M. A.; Miguez, J. (MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021)

Deep importance sampling based on regression for model inversion and emulation - Llorente, F.; Martino, L.; Delgado-Gomez, D.; Camps-Valls, G. (DIGITAL SIGNAL PROCESSING, 2021)

Automatic tempered posterior distributions for bayesian inversion problems - Martino, Luca; Llorente, Fernando; Curbelo, Ernesto; Lopez-Santiago, Javier; Miguez, Joaquin (Mathematics, 2021)

On the computation of marginal likelihood via mcmc for model selection and hypothesis testing - Llorente F; Martino L; Delgado D; López-Santiago J ((EUSIPCO 2020) 2020 28th European Signal Processing Conference - Virtual Conference, 2021)

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs - Rey S; Tenorio V; Rozada S; Martino L; Marques AG (28th European Signal Processing Conference (Eusipco 2020), 2021)

A likely magnetic activity cycle for the Exoplanet Host M Dwarf GJ 3512 - Lopez-Santiago, Javier; Martino, Luca; Miguez, Joaquin; Vazquez, Manuel A. (ASTRONOMICAL JOURNAL, 2020)

Improving the Teaching of Hypothesis Testing Using a Divide-and-Conquer Strategy and Content Exposure Control in a Gamified Environment - Delgado-Gomez, David; Gonzalez-Landero, Franks; Montes-Botella, Carlos; Sujar, Aaron; Bayona, Sofia; Martino, Luca (Mathematics, 2020)

Adaptive quadrature schemes for Bayesian inference via active learning - Fernandez, Fernando Llorente; Martino, Luca; Elvira, Victor; Delgado, David; Lopez-Santiago, Javier (IEEE Access, 2020)

A Comparison of Clipping Strategies for Importance Sampling - Martino, L.; Elvira, V; Miguez, J.; Artes-Rodriguez, A.; Djuric, P. M. (2018 IEEE Statistical Signal Processing Workshop, SSP 2018, 2018)

Physics-Aware Gaussian Processes for Earth Observation - Camps-Valls, Gustau; Svendsen, Daniel H.; Martino, Luca; Munoz-Mari, Jordi; Laparra, Valero; Campos-Taberner, Manuel; Luengo, David; (Proceedings Of The Scandinavian Conference On Image Analysis (Scia), 2017)

Population Monte Carlo schemes with reduced path degeneracy - Elvira V; Martino L; Luengo D; Bugallo M (2017 Ieee 7th International Workshop On Computational Advances In Multi-Sensor Adaptive Processing, Camsap 2017, 2018)

Anti-tempered layered adaptive importance sampling - Martino L; Elvira V; Luengo D (International Conference On Digital Signal Processing, Dsp, 2017)

Multiple importance sampling with overlapping sets of proposals - Víctor Elvira; Mónica Bugallo; Luca Martino; LUENGO GARCIA, DAVID (Ieee Workshop On Statistical Signal Processing Proceedings, 2016)

Sticky proposal densities for adaptive MCMC methods - Roberto Casarin; Luca Martino; LUENGO GARCIA, DAVID (Ieee Workshop On Statistical Signal Processing Proceedings, 2016)

Parallel metropolis chains with cooperative adaptation - Víctor Elvira; Luca Martino; Francisco Louzada; LUENGO GARCIA, DAVID (Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2016)

On sample generation and weight calculation in multiple importance sampling - LUENGO GARCIA, DAVID (Conference Record Of The Asilomar Conference On Signals, Systems And Computers, 2016)

A gradient adaptive population importance sampler - LUENGO GARCIA, DAVID (Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2015)

Bias Correction for Distributed Bayesian Estimators - Luengo D; Martino L; Elvira V; Bugallo M (Proceedings Of The 6th Ieee International Workshop On Computational Advances In Multi-Sensor Adaptive Processing (Camsap), 2015)

Efficient linear combination of partial Monte Carlo estimators - LUENGO GARCIA, DAVID (Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2015)

Smelly parallel MCMC chains - LUENGO GARCIA, DAVID (Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2015)

Parallel interacting Markov adaptive importance sampling - LUENGO GARCIA, DAVID (2015 23rd European Signal Processing Conference, Eusipco 2015, 2015)

MONTE CARLO LIMIT CYCLE CHARACTERIZATION - Luengo D; Osés D; Martino L (Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2014)

An Adaptive Population Importance Sampler - Martino L; Elvira V; Luengo D; Corander J (Proceedings Of The 39th Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp), 2014)

Independent Doubly Adaptive Rejection Metropolis Sampling - Martino L; Read J; Luengo D (Proceedings Of The 39th Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp), 2014)

Orthogonal MCMC Algorithms - Martino L; Elvira V; Luengo D; Artés-Rodríguez A; Corander J (Proceedings Of The 2014 Ieee Workshop On Statistical Signal Processing (Ssp), 2014)

FULLY ADAPTIVE GAUSSIAN MIXTURE METROPOLIS-HASTINGS ALGORITHM - LUENGO GARCIA, DAVID (Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2013)

EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS - LUENGO GARCIA, DAVID (Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2013)

A generalization of the adaptive rejection sampling algorithm - Martino, Luca; Miguez, Joaquin (STATISTICS AND COMPUTING, 2011)

Generalized rejection sampling schemes and applications in signal processing - Martino, Luca; Miguez, Joaquin (SIGNAL PROCESSING, 2010)

Target-aware Bayesian inference via generalized thermodynamic integration - Llorente, F.; Martino, L.; Delgado, D. (Computational Statistics, 2023)

Introduction to Africana Demography Lessons from Founders E. Franklin Frazier, WEB Du Bois, and the Atlanta School of Sociology Introduction - Martin, Lori Latrice (Studies In Critical Social Sciences, 2021)

Universal and automatic elbow detection for learning the effective number of components in model selection problems - Morgado, Eduardo; Martino, Luca; San Millan-Castillo, Roberto (Digital Signal Processing, 2023)

Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review - Llorente, F.; Martino, L.; Delgado, D.; Lopez-Santiago, J. (Siam Review, 2023)