Affine α-connections, expected information, flat submanifolds, geodesic submanifolds, likelihood equations, orthogonal projections, pivot, transformation models, τ-parallel models, ϑ-parallel models,
Targeted maximum likelihood estimation (TMLE) is a general method for estimating parameters in semip...
In this thesis, the extension of the Ornstein-Uhlenbeck process is studied by first driving this mo...
In this paper, we propose several initial values for the EM algorithm of maximum likelihood estimate...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.937(9901) / BLDSC - British Libr...
In this article, we combine results from the theory of linear exponential families, polyhedral geome...
We study maximum likelihood estimation in Gaussian graphical models from a geometric point of view. ...
SIGLEAvailable from British Library Document Supply Centre- DSC:7673.051(SOR 94-60) / BLDSC - Britis...
A maximum likelihood (ML) estimation procedure is developed to find the mean of the exponential fami...
Abstract: When in a full exponential family the maximum likelihood estimate (MLE) does not exist, th...
In this report the method of Markov chain Monte Carlo maximumlikelihood estimation was used to estim...
This is not a copy of the original, which is in the University of Washington library because the or...
Phylogenetic models admit polynomial parametrization maps in terms of the root distribution and tran...
Phylogenetic models admit polynomial parametrization maps in terms of the root distribution and tran...
Given a set of spatial data, often the desire is to estimate its covariance structure. For prac-tica...
SIGLETIB: RN 9877 (8202)+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Information...
Targeted maximum likelihood estimation (TMLE) is a general method for estimating parameters in semip...
In this thesis, the extension of the Ornstein-Uhlenbeck process is studied by first driving this mo...
In this paper, we propose several initial values for the EM algorithm of maximum likelihood estimate...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.937(9901) / BLDSC - British Libr...
In this article, we combine results from the theory of linear exponential families, polyhedral geome...
We study maximum likelihood estimation in Gaussian graphical models from a geometric point of view. ...
SIGLEAvailable from British Library Document Supply Centre- DSC:7673.051(SOR 94-60) / BLDSC - Britis...
A maximum likelihood (ML) estimation procedure is developed to find the mean of the exponential fami...
Abstract: When in a full exponential family the maximum likelihood estimate (MLE) does not exist, th...
In this report the method of Markov chain Monte Carlo maximumlikelihood estimation was used to estim...
This is not a copy of the original, which is in the University of Washington library because the or...
Phylogenetic models admit polynomial parametrization maps in terms of the root distribution and tran...
Phylogenetic models admit polynomial parametrization maps in terms of the root distribution and tran...
Given a set of spatial data, often the desire is to estimate its covariance structure. For prac-tica...
SIGLETIB: RN 9877 (8202)+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Information...
Targeted maximum likelihood estimation (TMLE) is a general method for estimating parameters in semip...
In this thesis, the extension of the Ornstein-Uhlenbeck process is studied by first driving this mo...
In this paper, we propose several initial values for the EM algorithm of maximum likelihood estimate...