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 1022 for “"Maximum likelihood"”.
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Rethinking Maximum Likelihood Estimation
… models. I propose a novel alternative to Maximum Likelihood Estimation, most popular method for estimating parameters, and show how my proposed method mitigates bias, reduces overfitting and the overrepresentation of high frequency events, increases the representation of low frequency …
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Maximum likelihood estimation in dynamical systems
… <br>are only partially observed. <br>Here maximum likelihood methods are used for the estimation of the <br>parameters from noisy measurements and to construct the unobserved <br>components of a system. <br>These methods take into account the entire information about the <br>deterministic …
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Maximum likelihood Markov networks : an algorithmic approach
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.
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Maximum likelihood time-domain beamforming using simulated annealing
… signals coming from different directions, the maximum likelihood approach is used to estimate the source bearings and time series. Simulated annealing is used to implement the resulting time-domain beamformer. Broadband signals in spatially correlated noise are treated. Previous time-domain …
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Seer: Maximum likelihood regression for learning-speed curves
Restriction data tranferred 2014-07-01T11:24:02-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission
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Statistical analysis of adaptive maximum-likelihood signal estimator
Thesis (Elec. E.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Maximum likelihood estimation of spatially correlated soil properties
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1985.
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Maximum likelihood time-domain beamforming using simulated annealing
Thesis (S.M.)--Joint Program in Oceanographic Engineering (Massachusetts Institute of Technology, Dept. of Ocean Engineering; and the Woods Hole Oceanographic Institution), 1999.
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On maximum likelihood identification of state space models
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1979.
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Exact Maximum Likelihood Estimation of the Kalman Filter Model
The interpretation of the Kalman filter model (KFM) used in this thesis is one where the transition equation allows the coefficients of a regression equation to follow an autoregressive-moving average process. Thus the KFM is a generalization of the random coefficients model.
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Maximum likelihood estimation of a multivariate log-concave density
… We propose an alternative approach using maximum likelihood under a qualitative assumption on the shape of the density, specifically log-concavity. The class of log-concave densities includes many common parametric families and has desirable properties. For univariate data, these …
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Robust Kalman Filters Using Generalized Maximum Likelihood-Type Estimators
… Gaussian distribution by applying a generalized maximum likelihood-type (GM) estimator. Finally, the filter incorporates the correct error covariance matrix that is derived using the GM-estimator's influence function. This dissertation also addresses robust state estimation for systems that …
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Berkson's method vs. maximum likelihood in the logistic regression model
Call number: LD2668 .R4 STAT 1988 R33
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Berkson's method vs. maximum likelihood in the logistic regression model
Call number: LD2668 .R4 STAT 1988 R33
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Disjoint Tree Mergers for large-scale maximum-likelihood tree estimation
Embargo set by: Seth Robbins for item 118556 Lift date: 2023-09-17T02:34:57Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system
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On The Performance Of The Maximum Likelihood Over Large Models
… Estimator (LSE) --- which also serves as the Maximum Likelihood Estimator (MLE) under Gaussian noise --- over these classes. (1) We demonstrate the minimax sub-optimality of the LSE in the non-Donsker regime, extending traditional findings of over these classes. (1) We demonstrate the minimax …
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Underwater Direction-of-Arrival Finding: Maximum Likelihood Estimation and Performance Analysis
… scenarios, and develop novel signal models, maximum likelihood: ML) estimation methods, and performance analysis results. We first examine the underwater scenarios where the noise on sensor arrays are spatially correlated, for which we consider using sparse sensor arrays consisting of widely …
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Stochastic Volatility Models: Option Price Approximation, Asymptotics and Maximum Likelihood Estimation
… of which have not previously been amenable to maximum likelihood estimation with option price data other than through the use of proxies for the latent volatility.
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A generalized data regression system based on the maximum likelihood estimation
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1980.
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