Laube U, Nebel M. Maximum Likelihood Analysis of the Ford-Fulkerson Method on Special Graphs. Algorithmica. 2016;74(4):1224--1266
Abstract. There is a uniquely defined random graph model with indepen-dent adjacencies in which the ...
Abstract: When in a full exponential family the maximum likelihood estimate (MLE) does not exist, th...
We describe algorithms for maximum likelihood estimation of Gaussian graphical models with condition...
Laube U, Nebel M. Maximum likelihood analysis of algorithms and data structures. Theor. Comput. Sci....
A graph is a powerful mathematical tool applied in many fields such as transportation, communication...
We study maximum likelihood estimation in Gaussian graphical models from a geometric point of view. ...
24 pages, 1 article*Maximum Likelihood Algorithms for Generalized Linear Mixed Models* (McCulloch, C...
SIGLETechnische Informationsbibliothek Hannover: RN 6166 (29) / FIZ - Fachinformationszzentrum Karls...
International audienceIn this chapter, we present recent computational and algorithmic advances for ...
The approach proposed by J. Jacquelin to explain the maximum likelihood method (MLH) is highly appre...
Laube U, E. Nebel M. Maximum Likelihood Analysis of Heapsort. In: Proceedings of the Sixth Workshop...
Maximum likelihood estimation in statistics leads to the problem of maximizing a product of powers o...
In this paper, an approximation of the asymptotic of the distribution for maximum and minimum of the...
This paper describes an algorithm for maximising a conditional likelihood function when the correspo...
In this thesis, a new numerical algorithm is presented which simplifies the process of finding an ef...
Abstract. There is a uniquely defined random graph model with indepen-dent adjacencies in which the ...
Abstract: When in a full exponential family the maximum likelihood estimate (MLE) does not exist, th...
We describe algorithms for maximum likelihood estimation of Gaussian graphical models with condition...
Laube U, Nebel M. Maximum likelihood analysis of algorithms and data structures. Theor. Comput. Sci....
A graph is a powerful mathematical tool applied in many fields such as transportation, communication...
We study maximum likelihood estimation in Gaussian graphical models from a geometric point of view. ...
24 pages, 1 article*Maximum Likelihood Algorithms for Generalized Linear Mixed Models* (McCulloch, C...
SIGLETechnische Informationsbibliothek Hannover: RN 6166 (29) / FIZ - Fachinformationszzentrum Karls...
International audienceIn this chapter, we present recent computational and algorithmic advances for ...
The approach proposed by J. Jacquelin to explain the maximum likelihood method (MLH) is highly appre...
Laube U, E. Nebel M. Maximum Likelihood Analysis of Heapsort. In: Proceedings of the Sixth Workshop...
Maximum likelihood estimation in statistics leads to the problem of maximizing a product of powers o...
In this paper, an approximation of the asymptotic of the distribution for maximum and minimum of the...
This paper describes an algorithm for maximising a conditional likelihood function when the correspo...
In this thesis, a new numerical algorithm is presented which simplifies the process of finding an ef...
Abstract. There is a uniquely defined random graph model with indepen-dent adjacencies in which the ...
Abstract: When in a full exponential family the maximum likelihood estimate (MLE) does not exist, th...
We describe algorithms for maximum likelihood estimation of Gaussian graphical models with condition...
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