Publications associées à Rasoir d'Ockham

Spatiotemporal wildfire modeling through point processes with moderate and extreme marks

Accurate spatiotemporal modeling of conditions leading to moderate and large wildfires provides better understanding of mechanisms driving fire-prone ecosystems and improves risk management. Here, we develop a joint model for the occurrence intensity and t ...

2023

Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation

Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau

This article presents the methodology developed to generate and use dosimeter covariances and to estimate nuisance parameters for the PETALE experimental programme. In anticipation of the final experimental results, this work investigates the consideration ...

2020

Models and Algorithms in Biological Network Evolution with Modularity

Min Ye

Networks are commonly used to represent key processes in biology; examples include transcriptional regulatory networks, protein-protein interaction (PPI) networks, metabolic networks, etc. Databases store many such networks, as graphs, observed or inferred ...

EPFL2017

A maximum-likelihood approach for building cell-type trees by lifting

Bernard Moret, Philipp Bucher, Yu Lin, Mingfu Shao, Nishanth Ulhas Nair, Paulina Grnarova, Laura Madeleine Hunter

Background: In cell differentiation, a less specialized cell differentiates into a more specialized one, even though all cells in one organism have (almost) the same genome. Epigenetic factors such as histone modifications are known to play a significant r ...

Biomed Central Ltd2016

Search for dark matter particles in proton-proton collisions at $ \sqrt{s}=8 $ TeV using the razor variables

Matthias Finger, Lesya Shchutska, Qian Wang, Varun Sharma, Konstantin Androsov, Jan Steggemann, Roberto Castello, Alessandro Degano, Jian Wang, Mingkui Wang, Zhirui Xu, Chao Wang, João Miguel das Neves Duarte, Matthias Wolf, Tian Cheng, Yixing Chen, Werner Lustermann, Andromachi Tsirou, Alexis Kalogeropoulos, Andrea Rizzi, Ioannis Papadopoulos, Paolo Ronchese, Thomas Muller, Ho Ling Li, Giuseppe Codispoti, Hua Zhang, Leonardo Cristella, Siyuan Wang, Peter Hansen, Daniel Gonzalez, Tao Huang, Paul Turner, Wei Sun, Raffaele Tito D'Agnolo, Ji Hyun Kim, Donghyun Kim, Dipanwita Dutta, Zheng Wang, Sanjeev Kumar, Wei Li, Yong Yang, Yi Wang, Ajay Kumar, Ashish Sharma, Georgios Anagnostou, Joao Varela, Csaba Hajdu, Muhammad Ahmad, Ekaterina Kuznetsova, Ioannis Evangelou, Matthias Weber, Muhammad Shoaib, Milos Dordevic, Vineet Kumar, Vladimir Petrov, Francesco Fiori, Quentin Python, Meng Xiao, Hao Liu, Sourav Sen, Viktor Khristenko, Marco Trovato, Gurpreet Singh, Fan Xia, Kai Yi, Bibhuprasad Mahakud, Rajat Gupta, Lei Feng, Muhammad Waqas, Shuai Liu, Davide Cieri, Maren Tabea Meinhard, Giorgia Rauco, Aram Avetisyan, Charles Dietz, Alexandre Aubin, Michal Simon, Xin Sun, Amr Mohamed, Juan Ramon Castiñeiras De Saa

A search for dark matter particles directly produced in proton-proton collisions recorded by the CMS experiment at the LHC is presented. The data correspond to an integrated luminosity of 18.8 fb

^{−1}

, at a center-of-mass energy of 8 TeV. The event selec ...

2016

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

Satoshi Takahama

In developing partial least squares calibration models, selecting the number of latent variables used for their construction to minimize both model bias and model variance remains a challenge. Several metrics exist for incorporating these trade-offs, but t ...

Wiley-Blackwell2015

Granulation and bistability in non-Brownian suspensions

Matthieu Wyart

In granulation, a dense colloidal suspension is converted into pasty lumps by application of flow. Often, such lumps are bistable: each can exist either as a fluid droplet (with a shiny surface) or as a jammed granule, whose rough surface creates a bulk st ...

Springer Verlag2014

Bootstrapping phylogenies inferred from rearrangement data

Bernard Moret, Yu Lin, Vaibhav Rajan

Background: Large-scale sequencing of genomes has enabled the inference of phylogenies based on the evolution of genomic architecture, under such events as rearrangements, duplications, and losses. Many evolutionary models and associated algorithms have be ...

BioMed Central2012

Bootstrapping phylogenies inferred from rearrangement data

Bernard Moret, Yu Lin, Vaibhav Rajan

Large-scale sequencing of genomes has enabled the inference of phylogenies based on the evolution of genomic architecture, under such events as rearrangements, duplications, and losses. Many evolutionary models and associated algorithms have been designed ...

Springer Verlag2011

Particle transport in tokamak plasmas, theory and experiment

Henri Weisen, Mikhail Maslov, Emiliano Fable

The physical processes producing electron particle transport in the core of tokamak plasmas are described. Starting from the gyrokinetic equation, a simple analytical derivation is used as guidance to illustrate the main mechanisms driving turbulent partic ...

Institute of Physics2009

Rasoir d'Ockham

Spatiotemporal wildfire modeling through point processes with moderate and extreme marks

Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation

Models and Algorithms in Biological Network Evolution with Modularity

A maximum-likelihood approach for building cell-type trees by lifting

Search for dark matter particles in proton-proton collisions at $ \sqrt{s}=8 $ TeV using the razor variables

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

Granulation and bistability in non-Brownian suspensions

Bootstrapping phylogenies inferred from rearrangement data

Bootstrapping phylogenies inferred from rearrangement data

Particle transport in tokamak plasmas, theory and experiment

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Spatiotemporal wildfire modeling through point processes with moderate and extreme marks

Models and Algorithms in Biological Network Evolution with Modularity

A maximum-likelihood approach for building cell-type trees by lifting

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

Bayesian Monte Carlo assimilation for the PETALE experimental programme using inter-dosimeter correlation

Bootstrapping phylogenies inferred from rearrangement data

Granulation and bistability in non-Brownian suspensions

Particle transport in tokamak plasmas, theory and experiment

Bootstrapping phylogenies inferred from rearrangement data

Search for dark matter particles in proton-proton collisions at $ \sqrt{s}=8 $ TeV using the razor variables