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Keywords

Bayes factor Markov models Biennial bearing Plant architecture Brain mapping Apprentissage statistique Entropy Analyse des données Compound distribution HIDDEN MARKOV CHAINS Hidden semi-Markov chains Conditional entropy Data science Data analysis Pedigree based analysis Machine learning Modèles de Markov cachés Mango tree Motif arborescent Malus x domestica
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58

Jean-Baptiste Durand - Statistics and stochastic modelling

Webpage: http://mistis.inrialpes.fr/people/jbdurand/

Short biography / Research topics

Jean-Baptiste Durand received the engineering degree in applied mathematics and computer science from the "Institut National Polytechnique de Grenoble" Grenoble INP (Grenoble Institute of Technology) in 1999. He received the Ph.D. degree in applied mathematics in 2003 from the University of Grenoble I (France).

From 1999 to 2003, he worked on statistical modelling at the French National Institute for Research in Computer Science and Control (Inria), as a member of the IS2 project (Statistical Inference for Health and Industry). Then, he was a Postdoctoral Research Fellow at AMAP "Plant Modelling" mixed research unit, Montpellier (France), with a grant from CIRAD.

Currently, he is a teaching assistant at Grenoble INP, member of the Mistis team of Laboratoire Jean Kuntzmann. He is the head of the statistics and data science tracks of the international Master's programme MSIAM (Looking for a high-level postgraduate programme in Data Science or Statistics? Have a look and apply at http://msiam.imag.fr/).

He teaches at the "École Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble" Ensimag (engineering school of applied mathematics and computer science). Topics: fundamentals of statistics, computational statistics.

He was delegated to Inria team Virtual Plants (Inria Sophia) between September 2009 and August 2011. His research interests include computational methods for hidden Markov models, statistical analysis of tree-structured processes, discrete multivariate distributions and applications to signal processing and botany.

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Related working groups, research teams and pages

 

  • Research team: Virtual Plants (Inria Sophia).
    The Virtual Plants team is a joint team between Inria, CIRAD and INRA. It is located in Montpellier. The long-term focus of the project is to study plant development and its control by genetic processes.
    Plants are branching living organisms that develop throughout their lifetimes. Organs are created by small embryogenetic regions at the tip of each axis, called apical meristems.
    In the project Virtual Plants, we are interested in studying plant apical meristem functioning and development. We believe that a detailed analysis of apical meristem processes, based on advanced mathematical and computational methods and tools, will lead us to get a deeper and better understanding of plant development.

 

Journal articles16 documents

  • Jean Peyhardi, Pierre Fernique, Jean-Baptiste Durand. Splitting models for multivariate count data. Journal of Multivariate Analysis, Elsevier, 2021, 181, pp.104677. ⟨10.1016/j.jmva.2020.104677⟩. ⟨hal-02962877⟩
  • Olena Bogdanova, Volodymyr Bogdanov, Jean-Baptiste Durand, Yves Trotter, Benoit Cottereau. Dynamics of the straight-ahead preference in human visual cortex. Brain Structure and Function, Springer Verlag, 2020, 225 (1), pp.173 - 186. ⟨10.1007/s00429-019-01988-5⟩. ⟨hal-03016204⟩
  • Robin Baurès, Marie Fourteau, Salomé Thébault, Chloé Gazard, Léa Pasquio, et al.. Time-to-contact perception in the brain.. Journal of Neuroscience Research, Wiley, 2020, ⟨10.1002/jnr.24740⟩. ⟨hal-03018165⟩
  • Franck-Emmanuel Roux, Mahamadou Niare, Saloua Charni, Carlo Giussani, Jean-Baptiste Durand. Functional architecture of the motor homunculus detected by electrostimulation.. The Journal of Physiology, Wiley, 2020, ⟨10.1113/JP280156⟩. ⟨hal-03018166⟩
  • Franck-Emmanuel Roux, Imène Djidjeli, Romain Quéhan, Emilie Réhault, Carlo Giussani, et al.. Intraoperative electrostimulation for awake brain mapping: how many positive interference responses are required for reliability?. British Journal of Neurosurgery, Taylor & Francis, 2019, pp.1-11. ⟨10.3171/2019.6.JNS19925⟩. ⟨hal-03018168⟩
  • Samy Rima, Carla Khalil, Benoit Cottereau, Yves Trotter, Jean-Baptiste Durand. Asymmetry of pictorial space: A cultural phenomenon. Journal of Vision, Association for Research in Vision and Ophthalmology, 2019, 19 (4), pp.22. ⟨10.1167/19.4.22⟩. ⟨hal-03016286⟩
  • Morgan Garbez, R. Symoneaux, Etienne Belin, Y. Caraglio, Yann Chéné, et al.. Ornamental plants architectural characteristics in relation to visual sensory attributes: a new approach on the rose bush for objective evaluation of the visual quality. European Journal of Horticultural Science, Ulmer, 2018, 83 (3), pp.187-201. ⟨10.17660/eJHS.2018/83.3.8⟩. ⟨hal-01831318⟩
  • Jean-Baptiste Durand, Alix Allard, Baptiste Guitton, Eric van de Weg, Marco Bink, et al.. Predicting Flowering Behavior and Exploring Its Genetic Determinism in an Apple Multi-family Population Based on Statistical Indices and Simplified Phenotyping. Frontiers in Plant Science, Frontiers, 2017, 8, pp.858--872. ⟨10.3389/fpls.2017.00858⟩. ⟨hal-01564977⟩
  • Jean-Baptiste Durand, Yann Guédon. Localizing the latent structure canonical uncertainty: entropy profiles for hidden Markov models. Statistics and Computing, Springer Verlag (Germany), 2016, 26 (1), pp.549-567. ⟨10.1007/s11222-014-9494-9⟩. ⟨hal-01090836⟩
  • Weiwei Yang, Benoit Pallas, Jean-Baptiste Durand, Sébastien Martinez, Mingyu Han, et al.. The impact of long-term water stress on tree architecture and production is related to changes in transitions between vegetative and reproductive growth in the ‘Granny Smith’ apple cultivar. Tree Physiology, Oxford University Press (OUP): Policy B - Oxford Open Option B, 2016, 36 (11), pp.1369-1381. ⟨10.1093/treephys/tpw068⟩. ⟨hal-01377095⟩
  • Massih-Reza Amini, Jean-Baptiste Durand, Olivier Gaudoin, Eric Gaussier, Anatoli Iouditski. Data Science : une formation internationale de niveau Master en science des données. Statistique et Enseignement, Société Française de Statistique, 2016, 7 (1), pp.95-102. ⟨hal-01342469⟩
  • Jean-Baptiste Durand, Stephane Girard, Victor Ciriza, Laurent Donini. Optimization of power consumption and user impact based on point process modeling of the request sequence. Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2013, 62 (2), pp.151-165. ⟨10.1111/j.1467-9876.2012.01053.x⟩. ⟨hal-00412509v4⟩
  • Jean-Baptiste Durand, Baptiste Guitton, Jean Peyhardi, Yan Holtz, Yann Guédon, et al.. New insights for estimating the genetic value of F1 apple progenies for irregular bearing during the first years of tree production. Journal of Experimental Botany, Oxford University Press (OUP), 2013, 64 (16), pp.5099-5113. ⟨10.1093/jxb/ert297⟩. ⟨hal-00845353⟩
  • Clémence Hatt, François Mankessi, Jean-Baptiste Durand, Frédéric Boudon, Fabienne Montes, et al.. Characteristics of Acacia mangium shoot apical meristems in natural and in vitro conditions in relation to heteroblasty. Trees - Structure and Function, Springer Verlag, 2012, 26 (3), pp.1031-1044. ⟨10.1007/s00468-012-0680-0⟩. ⟨hal-00699815⟩
  • Gilles Celeux, Jean-Baptiste Durand. Selecting Hidden Markov Model State Number with Cross-Validated Likelihood. Computational Statistics, Springer Verlag, 2008, 23 (4), pp.541-564. ⟨10.1007/s00180-007-0097-1⟩. ⟨inria-00193098⟩
  • Jean-Baptiste Durand, Paulo Goncalvès, Yann Guédon. Computational methods for hidden Markov tree models - An application to wavelet trees.. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2004, 52 (9), pp.2551-2560. ⟨10.1109/TSP.2004.832006⟩. ⟨hal-00830078⟩

Conference papers28 documents

  • Brice Olivier, Anne Guérin-Dugué, Jean-Baptiste Durand. Assessment of various initialization strategies for the Expectation-Maximization algorithm for Hidden Semi-Markov Models with multiple categorical sequences. JdS 2019 - 51èmes Journées de Statistique, Jun 2019, Vandœuvre-lès-Nancy, France. pp.1-7. ⟨hal-02129122⟩
  • Jean-Baptiste Durand. Compétitions d’analyse des données à l’Université Grenoble Alpes : motivations, organisation et retours d’expérience. CFIES 2019 - Colloque francophone international sur l'enseignement de la statistique, Sep 2019, Strasbourg, France. pp.1-6. ⟨hal-02298606⟩
  • Romain Azaïs, Jean-Baptiste Durand, Christophe Godin. Approximation of trees by self-nested trees. ALENEX 2019 - Algorithm Engineering and Experiments, Jan 2019, San Diego, United States. pp.39-53, ⟨10.1137/1.9781611975499.4⟩. ⟨hal-01294013v3⟩
  • Jean-Baptiste Durand, Alix Allard, Baptiste Guitton, Eric van de Weg, Marco C. A. M. Bink, et al.. Genetic determinism of flowering regularity over years in an apple multi-family population. International Symposium on Flowering, Fruit Set and Alternate Bearing, Jun 2017, Palermo, Italy. pp.15-22, ⟨10.17660/ActaHortic.2018.1229.3⟩. ⟨hal-01565681⟩
  • Jean-Baptiste Durand. Challenges d'analyse de données : une formation par la pratique transversale et multidisciplinaire en science des données. CFIES2017 - Colloque Francophone International sur l’Enseignement de la Statistique, Sep 2017, Grenoble, France. ⟨hal-01611032⟩
  • Brice Olivier, Jean-Baptiste Durand, Anne Guérin-Dugué, Marianne Clausel. Eye-tracking data analysis using hidden semi-Markovian models to identify and characterize reading strategies. ECM 2017 - 19th European Conference on Eye Movements, Aug 2017, Wuppertal, Germany. ⟨hal-01671224⟩
  • Benoit Pallas, Weiwei Yang, Jean-Baptiste Durand, Sébastien Martinez, Evelyne Costes. Impact of Long Term Water Deficit on Production and Flowering Occurrence in the 'Granny Smith' Apple Tree Cultivar. XI International Symposium on Integrating Canopy, Rootstock and Environmental Physiology in Orchard Systems, Prof. Dr. Luca Corelli-Grappadelli, Department of Agricultural Sciences, Università di Bologna, Aug 2016, Bologna, Italy. ⟨hal-01377104⟩
  • Jean-Baptiste Durand, Anne Guérin-Dugué, Sophie Achard. Analyse de séquences oculométriques et d'électroencéphalogrammes par modèles markoviens cachés. JdS 2016 - 48èmes Journées de la Statistique, May 2016, Montpellier, France. ⟨hal-01339458⟩
  • Pierre Fernique, Anaëlle Dambreville, Jean-Baptiste Durand, Christophe Pradal, Pierre-Eric Lauri, et al.. Characterization of mango tree patchiness using a tree-segmentation/clustering approach. 2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA 2016), Nov 2016, Qingdao, China. pp.68-74, ⟨10.1109/FSPMA.2016.7818290⟩. ⟨hal-01398291⟩
  • Pierre Fernique, Jean-Baptiste Durand, Yann Guédon. Détection de motifs disruptifs au sein de plantes : une approche de quotientement/classification d'arborescences. 47èmes Journées de Statistique, Société Française de Statistique, Jun 2015, Lille, France. ⟨hal-01240305⟩
  • Jean-Baptiste Durand, Yann Guédon. Quantification de l'incertitude sur la structure latente dans des modèles de Markov cachés. 46èmes Journées de Statistique, Société Française de Statistique (SFdS). FRA., Jun 2014, Rennes, France. ⟨hal-01058317⟩
  • Jean-Baptiste Durand, Yann Guédon. Quantifying and localizing state uncertainty in hidden Markov models using conditional entropy profiles. COMPSTAT 2014 - 21st International Conference on Computational Statistics, The International Association for Statistical Computing (IASC), Aug 2014, Genève, Switzerland. pp.213-221. ⟨hal-01058278⟩
  • Pierre Fernique, Jean-Baptiste Durand, Yann Guédon. Modèles graphiques paramétriques pour la modélisation des lois de génération dans des processus de branchement multitypes. 46èmes Journées de Statistique, Jun 2014, Rennes, France. 6 p. ⟨hal-01058313⟩
  • Pierre Fernique, Jean-Baptiste Durand, Yann Guédon. Estimation of Discrete Partially Directed Acyclic Graphical Models in Multitype Branching Processes. COMPSTAT 2014, 21st International Conference on Computational Statistics, The International Association for Statistical Computing (IASC), Aug 2014, Geneva, Switzerland. pp.561-568. ⟨hal-01084524⟩
  • Pierre Fernique, Jean-Baptiste Durand, Yann Guédon. Parametric Modelling of Multivariate Count Data Using Probabilistic Graphical Models. AIGM13 - 3rd Workshop on Algorithmic issues for Inference in Graphical Models, Sep 2013, Paris, France. ⟨hal-00918597⟩
  • Jean-Baptiste Durand, Pierre Fernique. Approche graphique pour la modélisation statistique de la dépendance entre activités journalières. Workshop "Statistique, Transport et Activités", Nov 2013, Grenoble, France. ⟨hal-00919372⟩
  • Jean-Baptiste Durand, Baptiste Guitton, Jean Peyhardi, Yan Holtz, Yann Guédon, et al.. Estimating the genetic value of F1 apple progenies for irregular bearing during first years of production. FSPM2013 - 7th International Workshop on Functional-Structural Plant Models, Jun 2013, Saariselkä, Finland. pp.13-15. ⟨hal-00847593⟩
  • Anaëlle Dambreville, Pierre Fernique, Christophe Pradal, Pierre-Eric Lauri, Frédéric Normand, et al.. Deciphering mango tree asynchronisms using Markov tree and probabilistic graphical models. FSPM2013 - 7th International Workshop on Functional-Structural Plant Models, Jun 2013, Saariselkä, Finland. pp.210-212. ⟨hal-00847614⟩
  • Chakkrit Preuksakarn, Frédéric Boudon, Pascal Ferraro, Jean-Baptiste Durand, Ekko Nikinmaa, et al.. Reconstructing Plant Architecture from 3D Laser scanner data. 6th International Workshop on Functional-Structural Plant Models, Sep 2010, Davis, United States. pp.12--17. ⟨hal-00490064⟩
  • Victor Ciriza, Laurent Donini, Jean-Baptiste Durand, Stephane Girard. A statistical model for optimizing power consumption of printers. XIG R & T Conference, Xerox Corporation, May 2008, Webster, United States. ⟨hal-00847605⟩
  • Victor Ciriza, Laurent Donini, Jean-Baptiste Durand, Stephane Girard. A Statistical Model for Optimizing Power Consumption of Printers. 40èmes Journées de Statistique, Congrès conjoint de la Société Statistique du Canada et de la Société Française de Statistique, May 2008, Ottawa, Canada. pp.227. ⟨inria-00320053⟩
  • Jean-Baptiste Durand. Calcul de probabilités et estimation dans des modèles de Markov cachés graphiques. 39èmes Journées de Statistique, Société Française de Statistique, Jun 2007, Angers, France. ⟨inria-00179396⟩
  • Samuel Dufour-Kowalski, Christophe Pradal, Nicolas Dones, Pierre Barbier de Reuille, Frédéric Boudon, et al.. OpenAlea: An open-source platform for the integration of heterogeneous FSPM components. FSPM07 - 5th International Workshop on Functional-Structural Plant Models, Nov 2007, Napier, New Zealand. pp.P36:1-2. ⟨hal-00831824⟩
  • Patrick Heuret, Jean-Baptiste Durand, Éric Nicolini, Sabrina Coste, Yves Caraglio. Exploring morphogenetical gradients plasticity using hidden Markov tree models in young individuals of the tropical specie Symphonia globulifera (Clusiaceae). FSPM07 - 5th International Workshop on Functional-Structural Plant Models, Nov 2007, Napier, New Zealand. pp.P19:1-1. ⟨hal-00847590⟩
  • Jean-Baptiste Durand, Yves Caraglio, Patrick Heuret, Eric Nicolini. Segmentation-based approaches for characterising plant architecture and assessing its plasticity at different scales. FSPM07 - 5th International Workshop on Functional-Structural Plant Models, Nov 2007, Napier, New Zealand. pp.39:1-3. ⟨hal-00831827⟩
  • Christophe Pradal, Frédéric Boudon, Nicolas Dones, Jean-Baptiste Durand, Pierre Barbier de Reuille, et al.. OpenAlea : a platform for plant modelling, analysis and simulation. Python Conference Europython, 2006, Genève, Switzerland. 16 p. ⟨hal-01189325⟩
  • Jean-Baptiste Durand, Yann Guédon, Yves Caraglio, Evelyne Costes. Analysis of the plant architecture via tree-structured statistical models : The hidden Markov trees.. 4th International Workshop on Functional-Structural Plant Models, 2004, Montpellier, France. pp.61-64. ⟨hal-00830077⟩
  • Jean-Baptiste Durand, Paulo Gonçalves, Yann Guédon. Arbres de Markov cachés : inférence et applications. Proceedings of XXXVI èmes Journées de Statistique, May 2004, Montpellier, France. ⟨inria-00570624⟩

Poster communications1 document

  • Romain Azaïs, Jean-Baptiste Durand, Christophe Godin. Lossy compression of unordered rooted trees. DCC 2016 - Data Compression Conference, Mar 2016, Snowbird, Utah, United States. ⟨10.1109/DCC.2016.73⟩. ⟨hal-01394707⟩

Books1 document

  • Massih-Reza Amini, Renaud Blanch, Marianne Clausel, Jean-Baptiste Durand, Éric Gaussier, et al.. Data Science. Eyrolles, 2018, 9782212674101. ⟨hal-01978692⟩

Book sections1 document

  • Marianne Clausel, Jean-Baptiste Durand. Modèles génératifs. Data Science. Cours et exercices, Eyrolles, 2018, 978-2-212-67410-1. ⟨hal-01961722⟩

Preprints, Working Papers, ...4 documents

  • Jean-Baptiste Durand, Florence Forbes, Cong Duc Phan, Long Truong, Hien Nguyen, et al.. Bayesian nonparametric spatial prior for traffic crash risk mapping: a case study of Victoria, Australia. 2021. ⟨hal-03138803⟩
  • Pierre Fernique, Jean Peyhardi, Jean-Baptiste Durand. Multinomial distributions for the parametric modeling of multivariate count data. 2016. ⟨hal-01286171⟩
  • Pierre Fernique, Jonathan Legrand, Jean-Baptiste Durand, Yann Guédon. Semi-parametric Markov Tree for cell lineage analysis. 2016. ⟨hal-01286298⟩
  • Romain Azaïs, Jean-Baptiste Durand, Christophe Godin. Lossy compression of unordered rooted trees. 2015. ⟨hal-01236088⟩

Reports6 documents

  • Brice Olivier, Anne Guérin-Dugué, Jean-Baptiste Durand. Hidden Semi-Markov Models to Segment Reading Phases from Eye Movements. [Research Report] RR-9398, Inria Grenoble - Rhône-Alpes. 2021. ⟨hal-03155843⟩
  • Jean-Baptiste Durand, Yann Guédon. Localizing the Latent Structure Canonical Uncertainty: Entropy Profiles for Hidden Markov Models. [Research Report] RR-7896, Inria. 2012, pp.43. ⟨hal-00675223⟩
  • Gilles Celeux, Jean-Baptiste Durand. Selecting Hidden Markov Chain States Number with Cross-Validated Likelihood. [Research Report] RR-5877, INRIA. 2006. ⟨inria-00071392⟩
  • Jean-Baptiste Durand, Laurent Bozzi, Gilles Celeux, Christian Derquenne. Analyse de courbes de consommation électrique par chaines de Markov cachées. [Rapport de recherche] RR-4858, INRIA. 2003. ⟨inria-00071725⟩
  • Jean-Baptiste Durand, Olivier Gaudoin. Software Reliability Modelling and Prediction with Hidden Markov Chain. [Research Report] RR-4747, INRIA. 2003. ⟨inria-00071840⟩
  • Jean-Baptiste Durand, Paulo Gonçalves. Statistical Inference for Hidden Markov Tree Models and Application to Wavelet Trees. [Research Report] RR-4248, INRIA. 2001. ⟨inria-00072339⟩

Theses1 document

  • Jean-Baptiste Durand. Modèles à structure cachée : inférence, estimation, sélection de modèles et applications. Mathématiques [math]. Université Joseph-Fourier - Grenoble I, 2003. Français. ⟨tel-00002754v3⟩