Results 51 to 60 of about 1,961,829 (179)

Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: identical twin experiments [PDF]

Hydrology and Earth System Sciences, 2011
The performance of the ensemble Kalman filter (EnKF) in soil moisture assimilation applications is investigated in the context of simultaneous state-parameter estimation in the presence of uncertainties from model parameters, soil moisture initial ...
S. Nie, J. Zhu, Y. Luo
doaj   +1 more source

Parameter Estimation for Sea Clutter Pareto Distribution Model Based on Variable Interval

Remote Sensing, 2022
The generalized Pareto (GP) distribution model is often used to describe the amplitude statistical feature of sea clutter. Generally, the parameters of GP distribution are estimated by moments estimators.
Yifei Fan, Duo Chen, Mingliang Tao, Jia Su, Ling Wang   +4 more
doaj   +1 more source

Transformer-Based Parameter Estimation in Statistics

Mathematics
Parameter estimation is one of the most important tasks in statistics, and is key to helping people understand the distribution behind a sample of observations.
Xiaoxin Yin, David S. Yin
doaj   +1 more source

Constrained Parameter Estimation for a Mechanistic Kinetic Model of Cobalt–Hydrogen Electrochemical Competition during a Cobalt Removal Process

Entropy, 2021
A mechanistic kinetic model of cobalt–hydrogen electrochemical competition for the cobalt removal process in zinc hydrometallurgical was proposed. In addition, to overcome the parameter estimation difficulties arising from the model nonlinearities and ...
Yiting Liang, Yuanhua Zhang, Yonggang Li
doaj   +1 more source

Single shot parameter estimation via continuous quantum measurement

, 2008
We present filtering equations for single shot parameter estimation using continuous quantum measurement. By embedding parameter estimation in the standard quantum filtering formalism, we derive the optimal Bayesian filter for cases when the parameter ...
A. Holevo, Bradley A. Chase, C. Helstrom, F. R. Gantmakher, H. Cramér, J. Liu, J. M. Geremia, K. Jacobs, P. E. Kloeden, R. E. Kalman, R. Kalman   +10 more
core   +1 more source

Multidimensional Single-Tone Frequency Estimation Based on QR Decomposition

IEEE Access, 2019
In this paper, the problem of multidimensional single-tone frequency estimation of sinusoids embedded in white Gaussian noise is investigated. By extracting the two-dimensional (2-D) slice matrices from the multidimensional data, we construct a ...
Hui Cao, Long-Ting Huang, Yuntao Wu, Qi Liu   +3 more
doaj   +1 more source

Frequentist and Bayesian Quantum Phase Estimation

Entropy, 2018
Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter.
Yan Li, Luca Pezzè, Manuel Gessner, Zhihong Ren, Weidong Li, Augusto Smerzi   +5 more
doaj   +1 more source

Parameter estimation with Sandage-Loeb test

, 2014
The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of $2\lesssim z\lesssim 5$ by detecting redshift drift in the spectra of Lyman-$\alpha$ forest of distant quasars.
Geng, Jia-Jia, Zhang, Jing-Fei, Zhang, Xin   +2 more
core   +1 more source

Frequency Tracking and Parameter Estimation for Robust Quantum State-Estimation

, 2011
In this paper we consider the problem of tracking the state of a quantum system via a continuous measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small
A. Doherty, B. P. Lathi, B. Quinn, Charles D. Hill, D. Huang, E. T. Jaynes, H. M. Wiseman, Jason F. Ralph, Kurt Jacobs, M. O. Scully, P. E. Kloeden, R. Box, S. M. Kay, T. J. Cavicchi, V. B. Braginsky, W. H. Long, Y. Bar-Shalom   +16 more
core   +1 more source

Fuzzy Supernova Templates II: Parameter Estimation

, 2010
Wide field surveys will soon be discovering Type Ia supernovae (SNe) at rates of several thousand per year. Spectroscopic follow-up can only scratch the surface for such enormous samples, so these extensive data sets will only be useful to the extent ...
Rodney, Steven A., Tonry, John L.
core   +1 more source