Results 21 to 30 of about 235,085 (295)
GWFAST: A Fisher Information Matrix Python Code for Third-generation Gravitational-wave Detectors
The Astrophysical Journal Supplement Series, 2022 We introduce GWFAST ( https://github.com/CosmoStatGW/gwfast ), a Fisher information matrix Python code that allows for easy and efficient estimation of signal-to-noise ratios and parameter measurement errors for large catalogs of resolved sources ...
Francesco Iacovelli +3 more
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Hellinger Information Matrix and Hellinger Priors
Entropy, 2023 Hellinger information as a local characteristic of parametric distribution families was first introduced in 2011. It is related to the much older concept of the Hellinger distance between two points in a parametric set.
Arkady Shemyakin
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Quantum Fisher information matrix in Heisenberg XY model [PDF]
Quantum Information Processing, 2019 21 pages, 10 ...
L. Bakmou +3 more
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Sparsified federated learning with differential privacy for intrusion detection in VANETs based on Fisher Information Matrix [PDF]
PLoS ONERui Chen, Xiaoyu Chen, Jing Zhao
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Experimental Design for Stochastic Models of Nonlinear Signaling Pathways Using an Interval-Wise Linear Noise Approximation and State Estimation. [PDF]
PLoS ONE, 2016 BACKGROUND:Computational modeling is a key technique for analyzing models in systems biology. There are well established methods for the estimation of the kinetic parameters in models of ordinary differential equations (ODE).
Christoph Zimmer
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A note on the Fisher information matrix of the Birnbaum–Saunders distribution [PDF]
Journal of Statistical Theory and Applications (JSTA), 2016 We show that the Fisher information matrix of the Birnbaum–Saunders distribution can present numerical problems for some values of the shape parameter. To overcome this problem, we provide a simple analytical approximation which works very well.
Artur J. Lemonte
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Engineering Proceedings, 2023 There are many degradation models that are used in reliability analyses. The Wiener degradation model is the most popular across different applications. In this paper, we propose an approach for searching for an optimal design on the basis of the Wiener ...
Evgeniya Osintseva, Ekaterina Chimitova
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Fisher information matrix of binary time series [PDF]
METRON, 2018 A common approach to analyzing categorical correlated time series data is to fit a generalized linear model (GLM) with past data as covariate inputs. There remain challenges to conducting inference for short time series length. By treating the historical data as covariate inputs, standard errors of estimates of GLM parameters computed using the ...
Gao, Xu, Gillen, Daniel, Ombao, Hernando
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Entropy, 2021 Local quantum uncertainty and interferometric power were introduced by Girolami et al. as geometric quantifiers of quantum correlations. The aim of the present paper is to discuss their properties in a unified manner by means of the metric adjusted skew ...
Paolo Gibilisco +2 more
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Measurement Cost of Metric-Aware Variational Quantum Algorithms
PRX Quantum, 2021 We consider metric-aware quantum algorithms that use a quantum computer to efficiently estimate both a matrix and a vector object. For example, the recently introduced quantum natural gradient approach uses the Fisher matrix as a metric tensor to correct
Barnaby van Straaten, Bálint Koczor
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