Concept

Mixed model

Related publications (27)

Inference methods for the study of interacting biological oscillators in single-cells

Biological oscillators are pervasive in biology, covering all aspects of life from enzyme kinetics reactions to population dynamics. Although their behaviour has been intensively studied in the last decades, the recent advances of high-throughput experimen ...

EPFL2020

Individual differences in the Müller-Lyer and Ponzo illusions are stable across different contexts

Michael Herzog, Aline Françoise Cretenoud, Lukasz Grzeczkowski

Vision scientists have attempted to classify visual illusions according to certain aspects, such as brightness or spatial features. For example, Piaget proposed that visual illusion magnitudes either decrease or increase with age. Subsequently, it was sugg ...

2020

Identifying neurodevelopmental anomalies of white matter microstructure associated with high risk for psychosis in 22q11.2DS

Maude Schneider, Daniela Maria Zöller, Marie Schaer, Maria Carmela Padula

Disruptions of white matter microstructure have been widely reported in schizophrenia. However, the emergence of these alterations during preclinical stages remains poorly understood. 22q11.2 Deletion Syndrome (22q11.2DS) represents a unique model to study ...

SPRINGERNATURE2020

Simultaneous autoregressive models for spatial extremes

Emeric Rolland Georges Thibaud

Motivated by the widespread use of large gridded data sets in the atmospheric sciences, we propose a new model for extremes of areal data that is inspired by the simultaneous autoregressive (SAR) model in classical spatial statistics. Our extreme SAR model ...

WILEY2020

Data-driven distributed frequency/voltage and power sharing control for islanded microgrids

Alireza Karimi, Dongdong Zheng

In this paper, a new data-driven distributed control structure for frequency/voltage regulation and active/reactive power sharing of islanded microgrids is proposed. By using a droop-free concept, the proposed method avoids the inherent timescale separatio ...

IEEE2020

Model-Independent Observation of Exotic Contributions to B degrees -> J/psi K+pi(-) Decays

Olivier Schneider, Aurelio Bay, Yiming Li, Guido Haefeli, Christoph Frei, Frédéric Blanc, Tatsuya Nakada, Michel De Cian, Elena Graverini, Matthieu Philippe Luther Marinangeli, Luca Pescatore, François Fleuret, Pietro Marino, Liupan An, Chitsanu Khurewathanakul, Federico Leo Redi, Violaine Bellée, Renato Quagliani, Maria Vieites Diaz, Federico Betti, Pavol Stefko, Tara Nanut, Aravindhan Venkateswaran, Vladimir Macko, Vitalii Lisovskyi, Guillaume Max Pietrzyk, Katharina Müller, Veronica Sølund Kirsebom, Jian Wang, Mingkui Wang, Zhirui Xu, Yi Zhang, Lei Zhang, Jessica Prisciandaro, Mark Tobin, Minh Tâm Tran, Niko Neufeld, Matthew Needham, Marc-Olivier Bettler, Greig Alan Cowan, Maurizio Martinelli, Vladislav Balagura, Donal Patrick Hill, Liang Sun, Mirco Dorigo, Xiaoxue Han, Plamen Hristov Hopchev, Thibaud Humair, Maxime Schubiger, Hang Yin, Guido Andreassi, Olivier Göran Girard, Axel Kuonen, Preema Rennee Pais, Maria Elena Stramaglia, Tommaso Colombo, Evgenii Shmanin, Sebastian Schulte, Dipanwita Dutta, Zheng Wang, Yi Wang, Hans Dijkstra, Gerhard Raven, Peter Clarke, Frédéric Teubert, Giovanni Carboni, Victor Coco, Adam Davis, Paolo Durante, Wenyu Zhang, Yu Zheng, Anton Petrov, Maxim Borisyak, Feng Jiang, Zhipeng Tang, Luis Alberto Granado Cardoso, Daniel Hugo Cámpora Pérez, Alexander Vasiliev

An angular analysis of B degrees -> J/psi K+pi(-) decays is performed, using proton-proton collision data corresponding to an integrated luminosity of 3 fb(-1) collected with the LHCb detector. The m(K+pi(-) ) spectrum is divided into fine bins. In each m( ...

2019

Learning new physics from a machine

Raffaele Tito D'Agnolo, Andrea Wulzer

We propose using neural networks to detect data departures from a given reference model, with no prior bias on the nature of the new physics responsible for the discrepancy. The virtues of neural networks as unbiased function approximants make them particu ...

American Physical Society2019