Parameter Estimation and the Initial Term Structure
Lateral Parameter Estimation of Aircraft with Different Initial Conditions
... ABSTRACT: This paper aims to estimate the lateral aerodynamic parameters of the aircraft from the available measurements with different initial conditions. In this current work Filter Error Method (FEM) which ...
6
Model parameter estimation using coherent structure colouring
... temporal initial conditions can lead to a large divergence in the trajectories taken by tracers that are initially closely spaced (Guckenheimer & Holmes ...
15
An ETKF approach for initial state and parameter estimation in ice sheet modelling
... Then we transform this ensemble of α into an ensemble of β . Then we generate an ensemble of bedrock topographies according to a Gaussian distribution, whose mean is the background and whose covariance matrix is ...
14
The Term Structure of Interest Rates: Estimation and Interpretation
... The boxes represent observed data from the market, the straight line represents the estimated term structure, the dotted line the (instantaneous) forward rate implied [r] ...
59
GMM Estimation of Affine Term Structure Models
... on parameter estimation for affine models are ...affine term structure ...M estimation is ...of parameter estimates are byproducts of this estimation routine, we apply ...
66
Identification and Estimation of Gaussian Affine Term Structure Models
... this estimation for 100 different starting values are reported in Table ...overidentified structure, the minimum-chi-square and maximum-likelihood estimates are not numerically ...conventional ...
69
Term Structure Estimation for U.S. Corporate Bond Yields
... the estimation procedure, there are outliers whose yields are far from those of the bulk of the group, indicating that the market does not perceive them to be in the same rating category or to have poor ...
16
Parameter estimation for a model of
... The Langmuir model has an explicit solution whose form is well known, and so standard regression techniques are used to estimate the parameters of this model. However, explicit solutions are not available for the ...
17
Estimation and testing of latent factors in term structure of interest rates
... vectors, and factor loadings of level, slope, and curvature factors of the US zero coupon yield.. term structure.[r] ...
203
Estimation of a joint model for the term structure of interest rates and the macroeconomy.
... Wkh vhfrqg uhdvrq wr dgrsw wkh surfhgxuh suhvhqwhg lq wklv sdshu lv uhodwhg wr wkh gh0 whuplqdwlrq ri wkh htxloleulxp lqvwdqwdqhrxv ulvnohvv lqwhuhvw udwh1 Zkloh jhqhudo htxloleulxp prgh[r] ...
60
Simulation-Based Bayesian Estimation of Affine Term Structure Models
... 5.1.3 Numerical Results The aim of the simulation exercise is to determine how well the MCMC algorithm performs in estimating the true parameters of the A 1 (1) model, as well as to gauge the impact on the performance of ...
42
Adaptive Smoothing Parameter in Kernel Density Estimation and Parameter Estimation in Normal Mixture Distributions
... more structure a graph has, the smaller the ℎ ...smoothing parameter hinges on the sample size and the following three factors as described in Hart ...
110
Gravitational parameter estimation in a waveguide
... We assume that the observer, who is far from the black hole, can only measure the reflected part of the wave. The partial loss of the initial state due to the transmis- sion into the black hole makes the ...
11
Parameter estimation for dynamical systems
... measured. Parameter estimation relies on the comparison of experimental observations of the modeled system with corresponding model output to obtain values for these ...for parameter ...
143
Parameter estimation for text analysis
... topic structure of a given corpus in order (1) to estimate the topic structure of unseen documents (query- ing), (2) to estimate the quality of the clustering implied by the estimated topics and (3) to ...
31
Parameter Estimation of Exciation Systems
... 3.6.2 Parameter Estimation (PE) toolbox in MATLAB Optimization Tool box is a collection of routines that extend the capability of MATLAB for problems as nonlinear minimization, equation solving and curve ...
91
Bayesian estimation for the multifractality parameter
... rate estimation of multifractal parameters is very challenging in sit- uations where the sample size is small (notably including a range of biomedical applications) and currently available estimators need to be ...
7
Curve Fitting and Parameter Estimation
... Clearly the quadratic fit is better, and though we have not yet quantitatively developed the socioeconomic reasons for this particular relation, we do have a genuinely predictive model that we can test against future ...
18
Abduction as Incomplete Parameter Estimation
... Both parameter estimation and abduction occupy a similar position on the integrated representation, although they are not completely ...rameter estimation as a sort of "simulated abduction", ...
8
Estimation of a common location parameter
... Chapter 1 Introduction As an extension of (ordinary) order statistics, sequential order statistics were introduced to model sequential (n-r+1)-out-of-n systems (r ≤ n) (cf. Kamps (1995a, 1995b)). A (n-r+1)- out-of-n ...
117