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‎site/published.xml‎

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<link>https://computo-journal.org/</link>
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<description>Latest published articles from Computo Journal</description>
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<item>
8-
<title>Should we correct the bias in Confidence Bands for Repeated Functional Data?</title>
8+
<title>Should we correct the bias in Confidence Bands for Repeated Functional Data? - Emilie Devijver and Adeline Samson</title>
99
<link>https://computo-journal.org/published-202606-devijver-scb/</link>
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<guid>https://computo-journal.org/published-202606-devijver-scb/</guid>
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<pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate>
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data.</description>
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</item>
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<item>
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<title>Variational inference for approximate objective priors using neural networks</title>
31+
<title>Variational inference for approximate objective priors using neural networks - Nils Baillie, Antoine Van Biesbroeck and Clément Gauchy</title>
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<link>https://computo-journal.org/published-202512-baillie-varp/</link>
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<guid>https://computo-journal.org/published-202512-baillie-varp/</guid>
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<pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
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inference and MCMC sampling.</description>
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</item>
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<item>
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<title>`regMMD`: an `R` package for parametric estimation and regression with maximum mean discrepancy</title>
59+
<title>`regMMD`: an `R` package for parametric estimation and regression with maximum mean discrepancy - Pierre Alquier and Mathieu Gerber</title>
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<link>https://computo-journal.org/published-202511-alquier-regmmd/</link>
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<guid>https://computo-journal.org/published-202511-alquier-regmmd/</guid>
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<pubDate>Tue, 18 Nov 2025 00:00:00 GMT</pubDate>
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applications to simulated and real data are provided.</description>
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</item>
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<item>
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<title>Fast confidence bounds for the false discovery proportion over a path of hypotheses</title>
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<title>Fast confidence bounds for the false discovery proportion over a path of hypotheses - Guillermo Durand</title>
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<link>https://computo-journal.org/published-202510-durand-fast/</link>
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<guid>https://computo-journal.org/published-202510-durand-fast/</guid>
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<pubDate>Thu, 09 Oct 2025 00:00:00 GMT</pubDate>
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the family.</description>
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</item>
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<item>
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<title>Draw Me a Simulator</title>
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<title>Draw Me a Simulator - Sandrine Boulet and Antoine Chambaz</title>
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<link>https://computo-journal.org/published-202509-boulet-simulator/</link>
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<guid>https://computo-journal.org/published-202509-boulet-simulator/</guid>
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<pubDate>Mon, 08 Sep 2025 00:00:00 GMT</pubDate>
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simulator design, and consider its role in modeling reality.</description>
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</item>
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<item>
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<title>Model-Based Clustering and Variable Selection for Multivariate Count Data</title>
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<title>Model-Based Clustering and Variable Selection for Multivariate Count Data - Julien Jacques and Thomas Brendan Murphy</title>
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<link>https://computo-journal.org/published-202507-jacques-count-data/</link>
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<guid>https://computo-journal.org/published-202507-jacques-count-data/</guid>
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<pubDate>Tue, 01 Jul 2025 00:00:00 GMT</pubDate>
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excellent clustering and variable selection performance.</description>
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</item>
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<item>
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<title>Reservoir Computing in R: a Tutorial for Using reservoirnet to Predict Complex Time-Series</title>
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<title>Reservoir Computing in R: a Tutorial for Using reservoirnet to Predict Complex Time-Series - Thomas Ferté, Kalidou Ba, Dan Dutartre, Pierrick Legrand, Vianney Jouhet, Rodolphe Thiébaut, Xavier Hinaut and Boris P Hejblum</title>
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<link>http://computo-journal.org/published-202505-ferte-reservoirnet/</link>
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<guid>http://computo-journal.org/published-202505-ferte-reservoirnet/</guid>
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<pubDate>Fri, 27 Jun 2025 00:00:00 GMT</pubDate>
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and electronic health records.</description>
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</item>
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<item>
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<title>Efficient simulation of individual-based population models</title>
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<title>Efficient simulation of individual-based population models - Daphné Giorgi, Sarah Kaakai and Vincent Lemaire</title>
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<link>http://computo-journal.org/published-202412-giorgi-efficient/</link>
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<guid>http://computo-journal.org/published-202412-giorgi-efficient/</guid>
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<pubDate>Mon, 27 Jan 2025 00:00:00 GMT</pubDate>
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using the `Rcpp` package while providing a user-friendly interface.</description>
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</item>
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<item>
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<title>Spectral Bridges</title>
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<title>Spectral Bridges - Félix Laplante and Christophe Ambroise</title>
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<link>http://computo-journal.org/published-202412-ambroise-spectral/</link>
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<guid>http://computo-journal.org/published-202412-ambroise-spectral/</guid>
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<pubDate>Fri, 13 Dec 2024 00:00:00 GMT</pubDate>
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https://github.com/cambroise/spectral-bridges-Rpackage\textgreater).</description>
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</item>
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<item>
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<title>AdaptiveConformal: An `R` Package for Adaptive Conformal Inference</title>
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<title>AdaptiveConformal: An `R` Package for Adaptive Conformal Inference - Herbert Susmann, Antoine Chambaz and Julie Josse</title>
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<link>http://computo-journal.org/published-202407-susmann-adaptive-conformal/</link>
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<guid>http://computo-journal.org/published-202407-susmann-adaptive-conformal/</guid>
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<pubDate>Thu, 18 Jul 2024 00:00:00 GMT</pubDate>

‎site/published.yml‎

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- title: Should we correct the bias in Confidence Bands for Repeated Functional Data?
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name: published-202606-devijver-scb
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authors: ''
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authors: Emilie Devijver and Adeline Samson
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journal: Computo
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doi: ''
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year: 2026
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pdf: ''
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url: https://computo-journal.org/published-202606-devijver-scb/
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- title: Variational inference for approximate objective priors using neural networks
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name: published-202512-baillie-varp
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authors: Nils Baillie, Antoine Van Biesbroeck and Clément Gauchy
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journal: Computo
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year: 2025
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- title: '`regMMD`: an `R` package for parametric estimation and regression with maximum mean discrepancy'
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name: published-202511-alquier-regmmd
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authors: ''
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authors: Pierre Alquier and Mathieu Gerber
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journal: Computo
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doi: ''
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year: 2025
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pdf: ''
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url: https://computo-journal.org/published-202511-alquier-regmmd/
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- title: Fast confidence bounds for the false discovery proportion over a path of hypotheses
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name: published-202510-durand-fast
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authors: ''
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authors: Guillermo Durand
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journal: Computo
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- title: Draw Me a Simulator
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name: published-202509-boulet-simulator
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journal: Computo
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- title: Model-Based Clustering and Variable Selection for Multivariate Count Data
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name: published-202507-jacques-count-data
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journal: Computo
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- title: 'Reservoir Computing in R: a Tutorial for Using reservoirnet to Predict Complex Time-Series'
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name: published-202505-ferte-reservoirnet
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authors: Thomas Ferté, Kalidou Ba, Dan Dutartre, Pierrick Legrand, Vianney Jouhet, Rodolphe Thiébaut, Xavier Hinaut and Boris P Hejblum
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journal: Computo
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journal: Computo
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authors: Félix Laplante and Christophe Ambroise
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journal: Computo
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pdf: ''
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url: http://computo-journal.org/published-202412-ambroise-spectral/
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- title: 'AdaptiveConformal: An `R` Package for Adaptive Conformal Inference'
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name: published-202407-susmann-adaptive-conformal
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authors: ''
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authors: Herbert Susmann, Antoine Chambaz and Julie Josse
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journal: Computo
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doi: ''
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year: 2024
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pdf: ''
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url: http://computo-journal.org/published-202407-susmann-adaptive-conformal/
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draft: false
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status: published
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- title: Bayesian spatiotemporal modelling of wildfire occurrences and sizes for projections under climate change
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name: published-202407-legrand-wildfires
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authors: ''
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authors: Juliette Legrand, François Pimont, Jean-Luc Dupuy and Thomas Opitz
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journal: Computo
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doi: ''
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year: 2024
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pdf: ''
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url: http://computo-journal.org/published-202407-legrand-wildfires/
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- title: Geometric-Based Pruning Rules for Change Point Detection in Multiple Independent Time Series
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name: published-202406-pishchagina-change-point
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authors: ''
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authors: Liudmila Pishchagina, Guillem Rigaill and Vincent Runge
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journal: Computo
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doi: ''
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year: 2024
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url: http://computo-journal.org/published-202406-pishchagina-change-point/
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draft: false
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status: published
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- title: 'Peerannot: classification for crowdsourced image datasets with Python'
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name: published-202402-lefort-peerannot
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authors: ''
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authors: Tanguy Lefort, Benjamin Charlier, Alexis Joly and Joseph Salmon
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journal: Computo
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doi: ''
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year: 2024
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- title: Optimal projection for parametric importance sampling in high dimensions
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name: published-202402-elmasri-optimal
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authors: ''
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authors: Maxime El Masri, Jérôme Morio and Florian Simatos
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journal: Computo
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doi: ''
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year: 2024
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pdf: ''
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url: http://computo-journal.org/published-202402-elmasri-optimal/
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- title: Point Process Discrimination According to Repulsion
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name: published-202401-adrat-repulsion
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authors: ''
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authors: Hamza Adrat and Laurent Decreusefond
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journal: Computo
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doi: ''
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year: 2024
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url: https://computo-journal.org/published-202401-adrat-repulsion/
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draft: false
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- title: A hierarchical model to evaluate pest treatments from prevalence and intensity data
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name: published-202312-favrot-hierarchical
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authors: ''
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authors: Armand Favrot and David Makowski
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journal: Computo
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year: 2024
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pdf: ''
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url: https://computo-journal.org/published-202312-favrot-hierarchical/
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status: published
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- title: 'Local tree methods for classification: a review and some dead ends'
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name: published-202312-cleynen-local
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authors: ''
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authors: Alice Cleynen, Louis Raynal and Jean-Michel Marin
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journal: Computo
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year: 2023
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url: http://computo-journal.org/published-202312-cleynen-local/
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- title: Computing an empirical Fisher information matrix estimate in latent variable models through stochastic approximation
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name: published-202311-delattre-fim
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authors: Maud Delattre and Estelle Kuhn
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journal: Computo
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year: 2023
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url: http://computo-journal.org/published-202311-delattre-fim/
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status: published
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- title: Inference of Multiscale Gaussian Graphical Models
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name: published-202306-sanou-multiscale_glasso
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authors: ''
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authors: Edmond Sanou, Christophe Ambroise and Geneviève Robin
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journal: Computo
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doi: ''
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- title: 'Macrolitter video counting on riverbanks using state space models and moving cameras '
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name: published-202301-chagneux-macrolitter
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authors: ''
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authors: Mathis Chagneux, Sylvain Le Corff, Pierre Gloaguen, Charles Ollion, Océane Lepâtre and Antoine Bruge
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journal: Computo
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doi: ''
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year: 2023
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pdf: ''
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url: http://computo-journal.org/published-202301-chagneux-macrolitter/
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status: published
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- title: 'A Python Package for Sampling from Copulae: clayton'
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name: published-202301-boulin-clayton
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authors: ''
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authors: Alexis Boulin
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journal: Computo
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doi: ''
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year: 2023
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url: http://computo-journal.org/published-202301-boulin-clayton/
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status: published
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- title: Trade-off between deep learning for species identification and inference about predator-prey co-occurrence
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name: published-202204-deeplearning-occupancy-lynx
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authors: ''
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authors: Olivier Gimenez, Maëlis Kervellec, Jean-Baptiste Fanjul, Anna Chaine, Lucile Marescot, Yoann Bollet and Christophe Duchamp
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journal: Computo
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doi: ''
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year: 2022
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pdf: ''
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url: https://computo-journal.org/published-202204-deeplearning-occupancy-lynx/
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draft: false
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status: published

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