Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Pierre Pudlo,"'
Autor:
Jérémy Guillot, Chloé Dominici, Adrien Lucchesi, Huyen Thi Trang Nguyen, Angélique Puget, Mélanie Hocine, Martha M. Rangel-Sosa, Milesa Simic, Jérémy Nigri, Fabienne Guillaumond, Martin Bigonnet, Nelson Dusetti, Jimmy Perrot, Jonathan Lopez, Anders Etzerodt, Toby Lawrence, Pierre Pudlo, Florence Hubert, Jean-Yves Scoazec, Serge A. van de Pavert, Richard Tomasini, Sophie Chauvet, Fanny Mann
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-19 (2022)
The autonomic nervous systems densely innervate the pancreas, but its contribution to pancreatic ductal adenocarcinoma (PDAC) progression is not fully understood. Here, the authors characterize the pattern of sympathetic innervation by 3D imaging in
Externí odkaz:
https://doaj.org/article/f2a238503c59462b8745c93b2bc9627d
Autor:
Ali Shakil, Mohammad Ali Khalighi, Pierre Pudlo, Cyril Leclerc, Dominique Laplace, François Hamon, Alexandre Boudonne
Publikováno v:
Internet of Things
Internet of Things, 2023, 21, pp.100654. ⟨10.1016/j.iot.2022.100654⟩
Internet of Things, 2023, 21, pp.100654. ⟨10.1016/j.iot.2022.100654⟩
International audience; We consider the case of data processing for a sewer infrastructure where water drains are equipped with wastelevel sensors, which frequently send the related data to a data processing unit. In order to understand the dynamics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db8f4e6ece90ba4a515589b186d6bb2
https://cnrs.hal.science/hal-03934419/file/IEEE_IoT_Shakil_HAL.pdf
https://cnrs.hal.science/hal-03934419/file/IEEE_IoT_Shakil_HAL.pdf
Autor:
Adrien Lucchesi, Fabienne Guillaumond, Pierre Pudlo, Florence Hubert, Chloé Dominici, Jean-Yves Scoazec, Fanny Mann, Sophie Chauvet, Jérémy Nigri, Thi Trang Huyen Nguyen, Jeremy Guillot, Nelson Dusetti, Martin Bigonnet, Anders Etzerodt, Richard Tomasini, Serge A. van de Pavert, Toby Lawrence
Recent evidence has highlighted the presence of neuronal nerve processes in the tumor microenvironment. However, the origin of intra-tumoral nerves remains poorly known, in part because of technical difficulties in tracing nerve fibers via regular hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::653fc9ce1d831a38b6c302a40c042a16
https://doi.org/10.1101/2020.04.27.061648
https://doi.org/10.1101/2020.04.27.061648
Publikováno v:
Case Studies in Applied Bayesian Data Science ISBN: 9783030425524
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba6cfa0079f88f4b691fe058cd554cf8
https://doi.org/10.1007/978-3-030-42553-1_1
https://doi.org/10.1007/978-3-030-42553-1_1
Publikováno v:
Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2020, 635, pp.A136. ⟨10.1051/0004-6361/201936788⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2020, 635, pp.A136. ⟨10.1051/0004-6361/201936788⟩
Astronomy and Astrophysics-A&A, 2020, 635, pp.A136. ⟨10.1051/0004-6361/201936788⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2020, 635, pp.A136. ⟨10.1051/0004-6361/201936788⟩
Although galaxies are found to follow a tight relation between their star formation rate and stellar mass, they are expected to exhibit complex star formation histories (SFH) with short-term fluctuations. The goal of this pilot study is to present a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8580e8486f3b6cec998a194882bded40
https://hal.science/hal-02532638/file/aa36788-19.pdf
https://hal.science/hal-02532638/file/aa36788-19.pdf
Publikováno v:
Bernoulli 25, no. 3 (2019), 1977-1998
Among Monte Carlo techniques, the importance sampling requires fine tuning of a proposal distribution, which is now fluently resolved through iterative schemes. Sequential adaptive algorithms have been proposed to calibrate the sampling distribution.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64d1353d10bbac006ac9d3396e312753
https://projecteuclid.org/euclid.bj/1560326434
https://projecteuclid.org/euclid.bj/1560326434
Publikováno v:
Bayesian Anal. 14, no. 1 (2019), 111-135
Bayesian Analysis
Bayesian Analysis, International Society for Bayesian Analysis, 2019, 14 (1), pp.111-135. ⟨10.1214/18-BA1095⟩
Bayesian Analysis 1 (14), 111-135. (2019)
Bayesian Analysis
Bayesian Analysis, International Society for Bayesian Analysis, 2019, 14 (1), pp.111-135. ⟨10.1214/18-BA1095⟩
Bayesian Analysis 1 (14), 111-135. (2019)
International audience; The functional linear regression model is a common tool to determine the relationship between a scalar outcome and a functional predictor seen as a function of time. This paper focuses on the Bayesian estimation of the support
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7be4876d20f2f77107ec929c0cee1f15
https://projecteuclid.org/euclid.ba/1524103229
https://projecteuclid.org/euclid.ba/1524103229
Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiti
Autor:
Mathieu Ribatet, Arnaud Estoup, Jean-Michel Marin, Pierre Pudlo, Louis Raynal, Christian P. Robert
Publikováno v:
Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2019, 35 (10), pp.1720-1728. ⟨10.1093/bioinformatics/bty867⟩
Bioinformatics, Oxford University Press (OUP), 2018, ⟨10.1093/bioinformatics/bty867⟩
Bioinformatics, 2019, 35 (10), pp.1720-1728. ⟨10.1093/bioinformatics/bty867⟩
Bioinformatics, Oxford University Press (OUP), 2019, 35 (10), pp.1720-1728. ⟨10.1093/bioinformatics/bty867⟩
Bioinformatics, Oxford University Press (OUP), 2018, ⟨10.1093/bioinformatics/bty867⟩
Bioinformatics, 2019, 35 (10), pp.1720-1728. ⟨10.1093/bioinformatics/bty867⟩
This preprint has been reviewed and recommended by Peer Community In Evolutionary Biology (http://dx.doi.org/10.24072/pci.evolbiol.100036). Approximate Bayesian computation (ABC) has grown into a standard methodology that manages Bayesian inference f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::271a370fb59301ae04c4b51a820f3e0e
https://hal.archives-ouvertes.fr/hal-01337189
https://hal.archives-ouvertes.fr/hal-01337189
Autor:
Alex Dehne-Garcia, Arnaud Estoup, Jean-Marie Cornuet, Christian P. Robert, Paul Verdu, Pierre Pudlo, Jean-Michel Marin
Publikováno v:
Handbook of Approximate Bayesian Computation
Scott A. Sisson; Yanan Fan; Mark A. Beaumont. Handbook of Approximate Bayesian Computation, Chapman and Hall, Chapter 18, 2019, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9781439881507
Scott A. Sisson; Yanan Fan; Mark Beaumont. Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, 2018, Handbooks of Modern Statistical Methods, 9781439881507
HAL
Handbook of Approximate Bayesian Computation ISBN: 9781315117195
Scott A. Sisson; Yanan Fan; Mark A. Beaumont. Handbook of Approximate Bayesian Computation, Chapman and Hall, Chapter 18, 2019, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9781439881507
Scott A. Sisson; Yanan Fan; Mark Beaumont. Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, 2018, Handbooks of Modern Statistical Methods, 9781439881507
HAL
Handbook of Approximate Bayesian Computation ISBN: 9781315117195
International audience; In evolutionary biology, approximate Bayesian computation (ABC) methods are well adapted to the complex models of species and population history in which serial or independent divergence events, change of population sizes, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cad52e77b339aa61e443d760c277baa7
https://hal.inrae.fr/hal-02787321
https://hal.inrae.fr/hal-02787321