Results 51 to 60 of about 7,132,062 (335)
Open statistical issues in particle physics [PDF]
Many statistical issues arise in the analysis of Particle Physics experiments. We give a brief introduction to Particle Physics, before describing the techniques used by Particle Physicists for dealing with statistical problems, and also some of the open statistical questions.
arxiv +1 more source
Inferring potential landscapes from noisy trajectories of particles within an optical feedback trap
Summary: While particle trajectories encode information on their governing potentials, potentials can be challenging to robustly extract from trajectories.
J. Shepard Bryan, IV+3 more
doaj
Notes on computational-to-statistical gaps: predictions using statistical physics [PDF]
In these notes we describe heuristics to predict computational-to-statistical gaps in certain statistical problems. These are regimes in which the underlying statistical problem is information-theoretically possible although no efficient algorithm exists,
A. Bandeira+2 more
semanticscholar +1 more source
Statistical physics of group testing [PDF]
This paper provides a short introduction to the group testing problem, and reviews various aspects of its statistical physics formulation. Two main issues are discussed: the optimal design of pools used in a two-stage testing experiment, like the one often used in medical or biological applications, and the inference problem of detecting defective ...
Mezard, Marc+2 more
openaire +5 more sources
Summary: Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world impacts in diverse ...
Emily G. Simmonds+42 more
doaj
Motion of charged particle in Reissner–Nordström spacetime: a Jacobi-metric approach
The present work discusses motion of neutral and charged particles in Reissner–Nordström spacetime. The constant energy paths are derived in a variational principle framework using the Jacobi metric which is parameterized by conserved particle energy. Of
Praloy Das, Ripon Sk, Subir Ghosh
doaj +1 more source
Neural-prior stochastic block model
The stochastic block model (SBM) is widely studied as a benchmark for graph clustering aka community detection. In practice, graph data often come with node attributes that bear additional information about the communities.
O Duranthon, L Zdeborová
doaj +1 more source
A popular measure for citation inequalities of individual scientists has been the Hirsch index (h). If for any scientist the number nc of citations is plotted against the serial number np of the papers having those many citations (when the papers are ...
Asim Ghosh+7 more
doaj +1 more source
Rejoinder: Citation Statistics [PDF]
Rejoinder to "Citation Statistics" [arXiv:0910.3529]
arxiv +1 more source