estimation problems
Correlated Estimation Problems and the Ensemble Kalman Filter
... All the variants of the EnKF update rule presented in this chapter are based on the traditional assumptions that all the probability distributions involved are Gaussian, the dynamical system is linear and that it models ...
182
Maximal uniform convergence rates in parametric estimation problems
... A result closely related to this paper is due to Akahira (1991) and Akahira and Takeuchi (1995). These authors show for the case of location parameters in general non-regular models that a maximum bound on the ...
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Maximal uniform convergence rates in parametric estimation problems
... This paper considers parametric estimation problems with i.i.d. data. It focusses on rate-efficiency, in the sense of maximal possible convergence rates of stochastically bounded estimators, as an ...
20
Using Large Number Estimation Problems in Primary Education Classrooms to Introduce Mathematical Modelling
... facing problems that connect elements of their daily life with mathematics allows them to build on their real-life knowledge to generate their own mathematical knowledge (Ärlebäck, ...classroom problems ...
13
Estimation problems in sense and respond systems
... will both estimate the value of P incorrectly and use the wrong (old) model in its estimation. There will be no subsequent message from v while v’s measurements match v’s current model, and node w will continue to ...
68
On Motion Estimation Problems in Computer Vision
... The proposed method involves solving two tasks simultaneously: optical flow field estimation, and reflection/transparent layer separation. For the second task, many research works have been published previously. ...
175
Multivariate Stochastic Volatility Estimation with Sparse Grid Integration
... the estimation algorithms based on the proposed sparse grid integration method perform well enough to be considered as an alternative es- timation method for the MSV ...based estimation algorithms, compared ...
14
Filtering Problems for Periodically Correlated Isotropic Random Fields
... optimal estimation problems for period- ically correlated with respect to time isotropic on a sphere random fields are natural generalization of the linear extrap- olation, interpolation and filtering ...
10
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration
... many problems of computer vision, particularly in non-rigid ...variational problems in vision such as estimation of deformation fields in non-rigid registration and ...field estimation ...
33
Speaker adaptation based on regularized speaker-dependent eigenphone matrix estimation
... matrix estimation problems is presented, and the performances of these regularization methods, includ- ing two combinations of them, ...likelihood estimation method, significant per- formance ...
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A FASTER ESTIMATION ALGORITHM APPLIED TO POWER QUALITY PROBLEMS
... Harmonic can be defined as the undesirable components of a distorted periodic waveform whose frequencies are the integral multiples (non-integral multiples in case of inter-harmonics, and the frequency less than ...
14
Some problems in adaptive estimation
... characterisation results are discussed and both the asymptotic theory and small sample power of the tests are investigated. In chapter 6, we propose a general non-parametric model for the regularly varying t a i l s of a ...
176
Estimation of Distribution Algorithm for Solving Linear Bilevel Programming Problems
... Estimation of Distribution Algorithm for Solving Linear Bilevel Programming Problems Hua-fei CHEN and He-cheng LI* School of Mathematics and Statistics, Qinghai Normal University, Xining[r] ...
6
Bayesian applications in econometrics
... Although only a few such problems are dealt with in the thesis, the results obtained demonstrate some of the features of Bayesian inference as they relate to estimation, prediction, prio[r] ...
278
Dargatz, Christiane (2010): Bayesian Inference for Diffusion Processes with Applications in Life Sciences. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... Most techniques that are presented in Chapter 6 struggle when inter-observation times of the considered phenomenon are large. Datasets in life sciences, however, may well be of such low-frequency type. For the first ...
438
Generalized sensitivities and optimal experimental design
... In order to answer the questions raised above we introduce a general setting which involves idealized measurement procedures (see Subsection 2.1). This setting will allow one to prove the existence of idealized ...
44
Evaluation Of ANN, M5P, RBF, Reptree For Runoff And Sediment Yield
... resources problems are the nature of prediction and estimation of rainfall, runoff, contamination concentration and water stages ...these problems with the conventional techniques are computationally ...
7
Developing Students’ Motivation for Learning through Practical Problems in School
... This approach has always been associated by specialists in the field of the methodology of science with the general philosophical question of the reasons for the effective value and universality of mathematical theories ...
9
A Compendium of Copulas
... Marginal tails of financial data are heavy tailed and hence they should be fitted by a distribution like the Student’s t distribution, not the Gaussian distribution. Also de- pendence in joint extremes of multivariate ...
50
Prediction of transverse cerebellar diameter as a better indicator for estimation of gestational age in third trimester
... age estimation also shown similar ...age estimation by TCD and HC was predicted in third trimester using regression ...age estimation in third ...for estimation of gestational age in third ...
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