Results 91 to 100 of about 524,430 (317)

Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network

open access: yes, 2013
Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational-wave detectors. Gravitational radiation encodes rich information about source physics: thus parameter estimation and model ...
LIGO-Virgo Scientifi, 강궁원
core  

Post-manoeuvre and online parameter estimation for manned and unmanned aircraft [PDF]

open access: yes, 2013
Parameterised analytical models that describe the trimmed inflight behaviour of classical aircraft have been studied and are widely accepted by the flight dynamics community.
Jameson, Pierre-Daniel
core  

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

open access: yesMolecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi   +14 more
wiley   +1 more source

Impact of Instantaneous Parameter Sensitivity on Ensemble‐Based Parameter Estimation: Simulation With an Intermediate Coupled Model

open access: yesJournal of Advances in Modeling Earth Systems
On ensemble‐based coupled data assimilation, cross‐component parameter estimation (CPE), has not been as extensively developed and applied as weakly coupled state and parameter estimation along with cross‐component state estimation.
Lige Cao   +6 more
doaj   +1 more source

Classical and Bayesian Inference for the Two-Parameter Rayleigh Distribution with Random Censored Data

open access: yesEntropy
This study focuses on parameter estimation and reliability analysis for the two-parameter Rayleigh distribution under random censoring. It is shown that directly fitting the standard Rayleigh distribution can lead to substantial estimation errors ...
Lanxi Zhang   +3 more
doaj   +1 more source

Parameter Estimation for Gibbs Distributions

open access: yesACM Transactions on Algorithms
A central problem in computational statistics is to convert a procedure for sampling combinatorial objects into a procedure for counting those objects, and vice versa. We consider sampling problems coming from Gibbs distributions , which are families of probability ...
David G. Harris 0001   +1 more
openaire   +5 more sources

Estimation of the slope parameter in a linear regression model under a bounded loss function

open access: yes, 2023
The estimation of the slope parameter of a simple linear regression model in the presence of nonsample prior information under the reflected normal loss function is considered.
M. Naghizadeh Qomi   +5 more
core   +1 more source

MITF maintains genome stability in nonmelanocyte lineages

open access: yesMolecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir   +13 more
wiley   +1 more source

Estimation by Ranking Parameters

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1966
Summary It is shown that a linear ordering of the parameter space is a useful generalization of classical estimates, and that for a certain class of loss functions, Bayes decision procedures lead to very simple linear orderings.
openaire   +2 more sources

Parameter estimation for a computable general equilibrium model: a maximum entropy approach [PDF]

open access: yes
We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (CGE) models. The approach applies information theory to estimating a system of nonlinear simultaneous equations. It has a number of advantages.
Tarp, Finn   +2 more
core  

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