Martino, Luca luca.martino@urjc.es

Publications

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 (p. 1-29) - 1/1/2023

10.1002/wics.1595 View at source

  • ISSN 19395108

Layered adaptive importance sampling

  • Martino, L.
  • Elvira, V.
  • Luengo, D.
  • Corander, J.;

Statistics And Computing (p. 599-623) - 1/5/2017

10.1007/s11222-016-9642-5 View at source

  • ISSN 09603174

A multi-point Metropolis scheme with generic weight functions

  • Martino, Luca
  • Pascual Del Olmo, Victor
  • Read, Jesse;

Statistics & Probability Letters (p. 1445-1453) - 1/7/2012

10.1016/j.spl.2012.04.008 View at source

  • ISSN 01677152

Generalized multiple importance sampling

  • Elvira V
  • Martino L
  • Luengo D
  • Bugallo M

Statistical Science (p. 129-155) - 1/2/2019

10.1214/18-sts668 View at source

  • ISSN 08834237

Improving population Monte Carlo: Alternative weighting and resampling schemes

  • Elvira, Victor
  • Martino, Luca
  • Luengo, David
  • Bugallo, Monica F.;

Signal Processing (p. 77-91) - 1/2/2017

10.1016/j.sigpro.2016.07.012 View at source

  • ISSN 01651684

Effective sample size for importance sampling based on discrepancy measures

  • Martino, Luca
  • Elvira, Victor
  • Louzada, Francisco;

Signal Processing (p. 386-401) - 1/2/2017

10.1016/j.sigpro.2016.08.025 View at source

  • ISSN 01651684

Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review

  • Llorente, F.
  • Martino, L.
  • Delgado, D.
  • Lopez-Santiago, J.;

Siam Review (p. 3-58) - 1/1/2023

10.1137/20m1310849 View at source

  • ISSN 00361445

On the variety of linear recurrences and numerical semigroups

  • Martino, Ivan
  • Martino, Luca;

Semigroup Forum (p. 569-574) - 1/6/2014

10.1007/s00233-013-9551-2 View at source

  • ISSN 00371912
Open Access

A generalization of the adaptive rejection sampling algorithm

  • Martino, Luca
  • Miguez, Joaquin;

STATISTICS AND COMPUTING (p. 633-647) - 1/10/2011

https://doi.org/10.1007/s11222-010-9197-9 View at source

  • EISSN 1573-1375
  • ISSN 09603174

Optimality in noisy importance sampling

  • Llorente, Fernando
  • Martino, Luca
  • Read, Jesse
  • Delgado-Gomez, David;

SIGNAL PROCESSING (p. 1-7) - 1/5/2022

https://doi.org/10.1016/j.sigpro.2022.108455 View at source

  • EISSN 1872-7557
  • ISSN 01651684

This researcher has no books.

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 (p. 1-21) - 1/1/2021

10.1163/9789004433168_002 View at source

  • ISSN 15734234

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) - 1/1/2019

10.23919/eusipco.2019.8902662 View at source

  • ISSN 22195491

In Search for Improved Auxiliary Particle Filters

  • Elvira, Victor
  • Martino, Luca
  • Bugallo, Monica F.
  • Djuric, Petar M.;

28th European Signal Processing Conference (Eusipco 2020) (p. 1637-1641) - 1/1/2018

  • ISSN 20761465
  • iMarina

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 (p. 558-562) - 1/1/2018

Editor: IEEE Computer Society.

https://doi.org/10.1109/ssp.2018.8450722 View at source

DISTRIBUTED PARTICLE METROPOLIS-HASTINGS SCHEMES

  • Martino, Luca
  • Elvira, Victor
  • Camps-Valls, Gustau;

2018 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) (p. 553-557) - 1/1/2018

  • iMarina

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 (p. 1-5) - 9/3/2018

10.1109/camsap.2017.8313090 View at source

WEIGHTING A RESAMPLED PARTICLE IN SEQUENTIAL MONTE CARLO

  • Martino, L.
  • Elvira, V.
  • Louzada, F.;

2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) - 1/1/2016

  • iMarina

ALTERNATIVE EFFECTIVE SAMPLE SIZE MEASURES FOR IMPORTANCE SAMPLING

  • Martino, L.
  • Elvira, V.
  • Louzada, F.;

2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) - 1/1/2016

  • iMarina

Parallel interacting Markov adaptive importance sampling

  • LUENGO GARCIA, DAVID

2015 23rd European Signal Processing Conference, Eusipco 2015 (p. 499-503) - 22/12/2015

10.1109/eusipco.2015.7362433 View at source

  • ISSN 20761465

A NOVEL REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 2921-2924) - 1/1/2009

10.1109/icassp.2009.4960235 View at source

  • ISSN 15206149

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) (p. 5865-5869) - 1/1/2020

10.1109/icassp40776.2020.9053962 View at source

  • ISSN 15206149

Adaptive quadrature schemes for Bayesian inference via active learning

  • Fernandez, Fernando Llorente
  • Martino, Luca
  • Elvira, Victor
  • Delgado, David
  • Lopez-Santiago, Javier;

IEEE Access (p. 208462-208483) - 1/12/2020

Editor: UNIVERSIDAD CARLOS III DE MADRID

https://doi.org/10.1109/access.2020.3038333 View at source

  • EISSN 2169-3536
  • ISSN 21693536

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 3/5/24 4:41 PM