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HALathon 2021 UPPA

Les articles que vous pouvez déposer

# Année Titre Revue Lien éditeur / doi Notice HAL
1 2020 Using Random forest and Gradient boosting trees to improve wave forecast at a specific location Applied Ocean Research 10.1016/j.apor.2020.102339 hal-03011157
2 2018 Association between low-grade inflammation and Breast cancer and B-cell Myeloma and Non-Hodgkin Lymphoma: Findings from two prospective cohorts Scientific Reports hal-02134590
3 2018 Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma: Univariate and functionally informed multivariate analyses International Journal of Cancer hal-02134607
4 2018 Investigating Gene- and Pathway-environment Interaction analysis approaches Journal de la Société Française de Statistique hal-02136012
5 2018 [HDDA] sparse subspace constrained partial least squares Journal of Statistical Computation and Simulation hal-02134604
6 2018 Assessment of Flooding Hazards at An Engineered Beach during Extreme Events: Biarritz, SW France Journal of Coastal Research 10.2112/SI85-161.1 hal-01891067
7 2018 Sparse partial least squares with group and subgroup structure Statistics in Medicine hal-02134605
8 2017 Bayesian variable selection regression of multivariate responses for group data Bayesian Analysis hal-01759888
9 2017 CEoptim: Cross-entropy R package for optimization Journal of Statistical Software hal-01759896
10 2017 Age at menarche and the risk of operative delivery Journal of Maternal-Fetal and Neonatal Medicine hal-01759892
11 2017 Estimation of extended mixed models using latent classes and latent processes: The R package lcmm Journal of Statistical Software hal-01759902
12 2016 Type-II generalized family-wise error rate formulas with application to sample size determination Statistics in Medicine 10.1002/sim.6909 hal-01581266
13 2016 BIG-SIR: a Sliced Inverse Regression approach for massive data Statistics and Its Interface hal-01417425
14 2014 Power and Sample Size Determination in Clinical Trials with Multiple Primary Continuous Correlated Endpoints Journal of Biopharmaceutical Statistics 10.1080/10543406.2013.860156 hal-02416088
15 2014 Breast cancer risk, nightwork, and circadian clock gene polymorphisms. Endocrine-Related Cancer hal-01097160
16 2012 Attributable risk estimation for adjusted disability multi-state models: application to nosocomial infections Biometrical Journal 10.1002/bimj.201100222 hal-00850423
17 2012 A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches Computational Statistics 10.1007/s00180-011-0241-9 hal-00938090
18 2011 Sliced Inverse Regression for stratified population Communications in Statistics - Theory and Methods 10.1080/03610926.2010.501940 hal-00646560
19 2010 A semiparametric approach for multivariate sample selection model Statistica Sinica hal-00546116
20 2009 Understanding Convergence Concepts: a Visual-Minded and Graphical Simulation-Based Approach The American Statistician 10.1198/tas.2009.0032 hal-00851017
21 2009 Bagging versions of Sliced Inverse Regression Communications in Statistics - Theory and Methods 10.1080/03610920902948251 hal-00389125
22 2008 Application of the bootstrap approach to the choice of dimension and the a parameter in the SIRa method. Simulation and computation. Communications in Statistics - Theory and Methods hal-00226511
23 2008 Odor vapor pressure and quality modulate local field potential oscillatory patterns in the olfactory bulb of the anesthetized rat European Journal of Neuroscience 10.1111/j.1460-9568.2008.06123.x hal-00299184
24 2007 Selection between proportional and stratified hazards models based on Expected Log-likelihood Computational Statistics hal-00153829
25 2007 Pooled marginal slicing approach via SIRa with discrete covariables Computational Statistics hal-00153828

Références complètes

  1. Aurélien Callens, Denis Morichon, Stéphane Abadie, Matthias Delpey, Benoit Liquet. Using Random forest and Gradient boosting trees to improve wave forecast at a specific location. Applied Ocean Research, Elsevier, 2020, 104, pp.102339. ⟨10.1016/j.apor.2020.102339⟩. ⟨hal-03011157⟩
  2. T. Fleming, Y.-K. Tu, T. Lundh, W.J. Chien, W.-C. Lee, et al.. Association between low-grade inflammation and Breast cancer and B-cell Myeloma and Non-Hodgkin Lymphoma: Findings from two prospective cohorts. Scientific Reports, Nature Publishing Group, 2018, 8 (1). ⟨hal-02134590⟩
  3. R. Vermeulen, F. Saberi Hosnijeh, B. Bodinier, L. Portengen, Benoit Liquet, et al.. Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma: Univariate and functionally informed multivariate analyses. International Journal of Cancer, Wiley, 2018, 143 (6), pp.1335--1347. ⟨hal-02134607⟩
  4. C. Broc, M. Evangelou, P. Guenel, T. Truong, Benoit Liquet. Investigating Gene- and Pathway-environment Interaction analysis approaches. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2018, 159 (2), pp.56--83. ⟨hal-02136012⟩
  5. M. Sutton, K. Mengersen, Benoit Liquet. [HDDA] sparse subspace constrained partial least squares. Journal of Statistical Computation and Simulation, Taylor & Francis, 2018. ⟨hal-02134604⟩
  6. Denis Morichon, Iñaki de Santiago, Matthias Delpey, Tom Somdecoste, Aurélien Callens, et al.. Assessment of Flooding Hazards at An Engineered Beach during Extreme Events: Biarritz, SW France. Journal of Coastal Research, Coastal Education and Research Foundation, 2018, 85, pp.801 - 805. ⟨10.2112/SI85-161.1⟩. ⟨hal-01891067⟩
  7. M. Sutton, R. Thiébaut, Benoit Liquet. Sparse partial least squares with group and subgroup structure. Statistics in Medicine, Wiley-Blackwell, 2018, 37 (23), pp.3338--3356. ⟨hal-02134605⟩
  8. Benoit Liquet, K. Mengersen, A.N. Pettitt, M. Sutton. Bayesian variable selection regression of multivariate responses for group data. Bayesian Analysis, International Society for Bayesian Analysis, 2017, 12 (4), pp.1039--1067. ⟨hal-01759888⟩
  9. T. Benham, Q. Duan, D.P. Kroese, Benoit Liquet. CEoptim: Cross-entropy R package for optimization. Journal of Statistical Software, University of California, Los Angeles, 2017, 76 (1). ⟨hal-01759896⟩
  10. H.P. Chong, J.F. Frøen, S. Richardson, Benoit Liquet, G.C.S. Smith. Age at menarche and the risk of operative delivery. Journal of Maternal-Fetal and Neonatal Medicine, Taylor & Francis, 2017, pp.1--8. ⟨hal-01759892⟩
  11. C. Proust-Lima, V. Philipps, Benoit Liquet. Estimation of extended mixed models using latent classes and latent processes: The R package lcmm. Journal of Statistical Software, University of California, Los Angeles, 2017, 78. ⟨hal-01759902⟩
  12. P. Delorme, P.L. Micheaux, Benoit Liquet, J. Riou. Type-II generalized family-wise error rate formulas with application to sample size determination. Statistics in Medicine, Wiley-Blackwell, 2016, 35 (16), pp.2687-2714. ⟨10.1002/sim.6909⟩. ⟨hal-01581266⟩
  13. Benoit Liquet, Jerome Saracco. BIG-SIR: a Sliced Inverse Regression approach for massive data. Statistics and Its Interface, International Press, 2016, 9 (4), pp.509-520. ⟨hal-01417425⟩
  14. Pierre Lafaye de Micheaux, Benoit Liquet, Sébastien Marque, Jeremie Riou. Power and Sample Size Determination in Clinical Trials with Multiple Primary Continuous Correlated Endpoints. Journal of Biopharmaceutical Statistics, Taylor & Francis, 2014, 24 (2), pp.378-397. ⟨10.1080/10543406.2013.860156⟩. ⟨hal-02416088⟩
  15. Thérèse Truong, Benoit Liquet, Florence Menegaux, Sabine Plancoulaine, Pierre Laurent-Puig, et al.. Breast cancer risk, nightwork, and circadian clock gene polymorphisms.. Endocrine-Related Cancer, BioScientifica, 2014, pp.10. ⟨hal-01097160⟩
  16. Jean-François Coeurjolly, Molière Nguile Makao, Jean-François Timsit, Benoit Liquet. Attributable risk estimation for adjusted disability multi-state models: application to nosocomial infections. Biometrical Journal, Wiley-VCH Verlag, 2012, 54 (5), pp.600-616. ⟨10.1002/bimj.201100222⟩. ⟨hal-00850423⟩
  17. Benoit Liquet, Jérôme Saracco. A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches. Computational Statistics, Springer Verlag, 2012, 27 (1), pp.103-125. ⟨10.1007/s00180-011-0241-9⟩. ⟨hal-00938090⟩
  18. Marie Chavent, Vanessa Kuentz, Benoit Liquet, Jérôme Saracco. Sliced Inverse Regression for stratified population. Communications in Statistics - Theory and Methods, Taylor & Francis, 2011, 40 (21), pp.3857-3878. ⟨10.1080/03610926.2010.501940⟩. ⟨hal-00646560⟩
  19. Marie Chavent, Benoit Liquet, Jerome Saracco. A semiparametric approach for multivariate sample selection model. Statistica Sinica, Taipei : Institute of Statistical Science, Academia Sinica, 2010, 20 (2), pp.513-536. ⟨hal-00546116⟩
  20. Pierre Lafaye de Micheaux, Benoit Liquet. Understanding Convergence Concepts: a Visual-Minded and Graphical Simulation-Based Approach. The American Statistician, Taylor & Francis, 2009, 63 (2), pp.173-178. ⟨10.1198/tas.2009.0032⟩. ⟨hal-00851017⟩
  21. Jérôme Saracco, Benoit Liquet, Vanessa Kuentz. Bagging versions of Sliced Inverse Regression. Communications in Statistics - Theory and Methods, Taylor & Francis, 2009, 39 (11), pp.1985-1996. ⟨10.1080/03610920902948251⟩. ⟨hal-00389125⟩
  22. Benoit Liquet, Jérôme Saracco. Application of the bootstrap approach to the choice of dimension and the a parameter in the SIRa method. Simulation and computation.. Communications in Statistics - Theory and Methods, Taylor & Francis, 2008, 37 (6), pp.1198-1218. ⟨hal-00226511⟩
  23. Tristan Cenier, Corine Amat, Philippe Litaudon, Samuel Garcia, Pierre Lafaye de Micheaux, et al.. Odor vapor pressure and quality modulate local field potential oscillatory patterns in the olfactory bulb of the anesthetized rat. European Journal of Neuroscience, Wiley, 2008, 27 (6), pp.1432-1440. ⟨10.1111/j.1460-9568.2008.06123.x⟩. ⟨hal-00299184⟩
  24. Benoit Liquet, Jérôme Saracco, D. Commenges. Selection between proportional and stratified hazards models based on Expected Log-likelihood. Computational Statistics, Springer Verlag, 2007, 22 (4), pp.619-634. ⟨hal-00153829⟩
  25. Benoit Liquet, Jérôme Saracco. Pooled marginal slicing approach via SIRa with discrete covariables. Computational Statistics, Springer Verlag, 2007, 22 (4), pp.599-617. ⟨hal-00153828⟩