Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Nicolas Chopin"'
Publikováno v:
Statistical Modelling. 21:161-181
The statistical analysis of the information generated by medical follow-up is a very important challenge in the field of personalized medicine. As the evolutionary course of a patient's disease progresses, his/her medical follow-up generates more and
Autor:
Moussa Ndiaye, Eliseeva Svetlana, Ivana Martinić, Doina Sirbu, Nicolas Chopin, Marie-Aude Hiebel, Franck Suzenet, Stéphane Petoud
Publikováno v:
International Journal of Molecular Sciences
Volume 22
Issue 12
International Journal of Molecular Sciences, 2021, 22 (12), pp.6645. ⟨10.3390/ijms22126645⟩
International Journal of Molecular Sciences, MDPI, 2021, 22 (12), pp.6645. ⟨10.3390/ijms22126645⟩
International Journal of Molecular Sciences, Vol 22, Iss 6645, p 6645 (2021)
Volume 22
Issue 12
International Journal of Molecular Sciences, 2021, 22 (12), pp.6645. ⟨10.3390/ijms22126645⟩
International Journal of Molecular Sciences, MDPI, 2021, 22 (12), pp.6645. ⟨10.3390/ijms22126645⟩
International Journal of Molecular Sciences, Vol 22, Iss 6645, p 6645 (2021)
International audience; Pyridazino-1,3a,6a-triazapentalenes (PyTAP) are compact fused 6/5/5 tricyclic scaffolds which exhibit promising fluorescent properties. Chemically stable, they can be post-functionalized using standard Pd-catalyzed cross-coupl
Publikováno v:
Springer Series in Statistics ISBN: 9783030478445
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30ecc6a454660d0ab16d5e1bcdede06c
https://doi.org/10.1007/978-3-030-47845-2_13
https://doi.org/10.1007/978-3-030-47845-2_13
Publikováno v:
Springer Series in Statistics ISBN: 9783030478445
A complementary to SMC framework for effective sampling in high-dimensions is that of Markov chain Monte Carlo (MCMC). In this framework there is a single target distribution but samples are drawn sequentially as a Markov chain that is invariant with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbc0a8b62ab78bddf980f4dcb207085f
https://doi.org/10.1007/978-3-030-47845-2_15
https://doi.org/10.1007/978-3-030-47845-2_15
Autor:
Guillaume Bonnot, Jean-Philippe Bouillon, Julien Bosson, Anne-Lise Bienvenu, Shinya Iikawa, Stéphane Picot, Maurice Médebielle, Nicolas Chopin, Adeline Lavoignat
Publikováno v:
Bioorganic and Medicinal Chemistry Letters
Bioorganic and Medicinal Chemistry Letters, Elsevier, 2016, 26 (21), pp.5308-5311. ⟨10.1016/j.bmcl.2016.09.038⟩
Bioorganic and Medicinal Chemistry Letters, Elsevier, 2016, 26 (21), pp.5308-5311. ⟨10.1016/j.bmcl.2016.09.038⟩
International audience; In this Letter we report on an efficient and short 2–3 steps synthesis of γ-hydroxy-γ-lactam derived-tetramates bearing a 7-chloro-4-aminoquinoline skeleton and their evaluation as potent antimalarials. These molecules wer
Autor:
Michelle Cronin, Mark Jessopp, David G. Reid, Martha Gosch, Michael Sheridan, Nicolas Chopin, Ronan Cosgrove
Publikováno v:
Fisheries Research. 183:192-199
A dedicated observer programme was carried out in gillnet and entangling net fisheries off the west and southwest coasts of Ireland to monitor interactions with seals. No seals were observed as bycatch in gillnet fisheries suggesting the risk of byca
Autor:
Nicolas Chopin, Ivana Martinić, Franck Suzenet, Julien Diharce, Gérald Guillaumet, Pascal Bonnet, Svetlana V. Eliseeva, Doina Sirbu, Stéphane Petoud
Publikováno v:
Chemical Communications
Chemical Communications, 2019, 55 (54), pp.7776-7779. ⟨10.1039/C9CC03765A⟩
Chemical Communications, Royal Society of Chemistry, 2019, 55 (54), pp.7776-7779. ⟨10.1039/C9CC03765A⟩
Chemical Communications, 2019, 55 (54), pp.7776-7779. ⟨10.1039/C9CC03765A⟩
Chemical Communications, Royal Society of Chemistry, 2019, 55 (54), pp.7776-7779. ⟨10.1039/C9CC03765A⟩
International audience; An unusual class, compact in sizes, of fluorescent probes based on pyridazino-1,3a,6a-triazapentalene scaffolds exhibits highly fluorescent properties (quantum yield values up to 73%, large Stokes shifts, emission wavelengths
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78c69a69f88351100caf178c36d42428
https://hal.science/hal-02373125
https://hal.science/hal-02373125
Sequential Monte Carlo (SMC) samplers form an attractive alternative to MCMC for Bayesian computation. However, their performance depends strongly on the Markov kernels used to rejuvenate particles. We discuss how to calibrate automatically (using th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::528a987799d10efbaeb2e6af4e367e07
Autor:
Nicolas Chopin, Lionel Riou-Durand
Publikováno v:
Electronic Journal of Statistics
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2018, 12 (2), pp.3473-3518. ⟨10.1214/18-EJS1485⟩
Electron. J. Statist. 12, no. 2 (2018), 3473-3518
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2018, 12 (2), pp.3473-3518. ⟨10.1214/18-EJS1485⟩
Electron. J. Statist. 12, no. 2 (2018), 3473-3518
A statistical model is said to be un-normalised when its likelihood function involves an intractable normalising constant. Two popular methods for parameter inference for these models are MC-MLE (Monte Carlo maximum likelihood estimation), and NCE (n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ff4b6e1b0d2c085b5709aeabfcca195
https://hal.archives-ouvertes.fr/hal-02391188
https://hal.archives-ouvertes.fr/hal-02391188
Autor:
Nicolas Chopin, Mathieu Gerber
Publikováno v:
Bernoulli
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2017, 23 (4B), pp.2951-2987. ⟨10.3150/16-BEJ834⟩
Bernoulli 23, no. 4B (2017), 2951-2987
Gerber, M & Chopin, N 2017, ' Convergence of sequential quasi-Monte Carlo smoothing algorithms ', Bernoulli, vol. 23, no. 4B, pp. 2951-2987 . https://doi.org/10.3150/16-BEJ834
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2017, 23 (4B), pp.2951-2987. ⟨10.3150/16-BEJ834⟩
Bernoulli 23, no. 4B (2017), 2951-2987
Gerber, M & Chopin, N 2017, ' Convergence of sequential quasi-Monte Carlo smoothing algorithms ', Bernoulli, vol. 23, no. 4B, pp. 2951-2987 . https://doi.org/10.3150/16-BEJ834
Gerber and Chopin (2015) recently introduced Sequential quasi-Monte Carlo (SQMC) algorithms as an efficient way to perform filtering in state-space models. The basic idea is to replace random variables with low-discrepancy point sets, so as to obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb2523ee4a2068fecb57ce9456547f5
https://hal.archives-ouvertes.fr/hal-02391197
https://hal.archives-ouvertes.fr/hal-02391197