Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 745 for “"Parameter Estimation"”.
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Precision Cosmological Parameter Estimation
… the computationally intensive pieces of the parameter estimation framework to a parallel training step. We then provide a machine learning code that uses this training set to learn the relationship between the underlying cosmological parameters and the function we wish to compute. This code …
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Parameter Estimation In Linear Regression
… regression which utilizes the least squares estimation technique to estimate a model's parameters. This research investigated, from a user's perspective, the ability of linear regression to estimate the parameters' confidence intervals at the usual 95% level for medium sized data sets. A …
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State Variable and Parameter Estimation
… This work is then incorporated into state estimation theory and a continuous filter is developed. A new sequential adaptive filter is then developed which effectively compensates for errors in the mathematical description of the process. This adaptive filter finds the mean and covariance of …
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Decomposed algorithms for parameter estimation
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.
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Parameter estimation of urban drainage models
… models depends on the correct selection of model parameter values. Some of these parameters can be physically measured, whereas the other parameters are impossible or difficult to measure. Therefore, these parameter values, which are impossible or difficult to measure physically, have to be …
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Nuisance Parameter Estimation in Survival Models
… a conditional survival function as a nuisance parameter. This thesis focuses on the impact of the conditional survival function on the estimation of censored quantile regression and restricted means. In particular, we illustrate that a non-parametric estimator of the conditional survival …
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Parameter estimation of manipulator robot dynamics
We need better methods of dynamic parameter estimation because robots are becoming more complex and their interactions with the unmodeled world are becoming more frequent. These methods should be fast, reliable, and easily adaptable to various classes of robots. Here, we design and build a …
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Parameter Estimation for Anonymous Hawkes Processes
… known, and the bulk of the literature involves parameterizing the model and passing it through statistical learning tools. Our proposed work focuses on the the same question in “anonymous" case where labels are not given. In this regime, the lack of information makes many previous approaches …
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Predictive parameter estimation for Bayesian filtering
… The primary motivation for this work is state estimation; often, complex raw sensor measurements are processed into low dimensional observations of a vehicle state. I argue that the covariance of these observations can be well-modelled as a function of the raw sensor measurement, and provide a …
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Parameter estimation in nonlinearly parameterized systems
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.
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Parameter estimation in chaotic time series
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Parameter estimation for unsaturated flow models
The estimation of parameters in models for soil unsaturated hydraulic properties from transient flow experiments via inversion of the governing initial-boundary value problem is examined. Emphasis is on the estimation of parameters from in-situ experiments where available data are in the form of …
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Speed and parameter estimation for induction machines
Thesis (M.S. and Elec. E.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1988.
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Cardiovascular parameter estimation using a computational model
… signals in order to estimate cardiovascular parameters.
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Distributed parameter estimation for complex energy systems
… components. We then propose to use a distributed estimation method for obtaining the parameters of the the component's internal model based on the measurements at its interfaces. We check whether theoretical conditions for distributed estimation approach are met and validate the results obtained. …
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Parameter estimation in HMMs with guaranteed convergence
… algorithm is a heuristic for parameter estimation in statistical models with latent variables, where explicit computation of the maximum likelihood estimate (MLE) is infeasible. Although widely used in practice, the theoretical guarantees associated with EM are quite weak. We …
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Model Development and Parameter Estimation for Styrene Polymerization
… Using recently-developed statistical techniques, parameters are ranked based on their influence on model predictions, uncertainty in their initial values and correlation between their effects. The four top-ranked parameters (of the 40 total model parameters) are chosen for estimation to improve …
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Parameter Estimation in Panels of Intercorrelated Time Series
We consider parameter estimation in panels of intercorrelated time series. By a factorisation of the conditional log-likelihood function we obtain a new estimator \hat{a}_n,T for panels of intercorrelated autoregressive time series. We generalise this model to a factor model, where a single …
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