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McLachlan, Geoffrey J. [Author]; Krishnan, Thriyambakam [Author]

The EM algorithm and extensions - [2. ed.]

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Hoboken, NJ: Wiley-Interscience, 2008

Published in: Whiley series in probability and statistics
Gentle, James E. [Editor]

Handbook of computational statistics : concepts and methods

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Berlin; Heidelberg [u.a.]: Springer, 2004

Published in: Springer handbooks of computational statistics
McLachlan, Geoffrey J. [Author]; Krishnan, Thriyambakam [Author]

The EM algorithm and extensions

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New York [u.a.]: Wiley, 1997

Published in: Wiley series in probability and statistics ; Applied probability and statistics- Wiley series in probability and statistics
Prinzler, Ralf [Author]

Value-at-Risk-Schätzung mit Gauß'schen Mischverteilungen und künstlichen neuronalen Netzen

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München: Utz, Wiss., 2001

Published in: Wirtschafts- und Sozialwissenschaften
Duddela, Srikanth [Author]

A bioinformatics approach for conceptual genome mining

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Saarbrücken, 2015
Springer, Theresa Veronika [Author]

Mathematical analysis and computational methods for Probabilistic Multi-Hypothesis Tracking (PMHT)

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Ulm: Universität Ulm. Fakultät für Mathematik und Wirtschaftswissenschaften, 2013
Dlugosz, Stephan [Author]

Give missings a chance : combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information

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Mannheim: ZEW, 2011

Published in: Zentrum für Europäische Wirtschaftsforschung: ZEW discussion papers ; 2011,013
Mader, Wolfgang [Author]

Estimating states and interactions in complex systems

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Freiburg, 2016
Nicolae, Marius [Author]; Mangul, Serghei [Author]; Mandoiu, Ion [Author]; Zelikovsky, Alex [Author] ; Marius Nicolae and Serghei Mangul and Ion Mandoiu and Alex Zelikovsky [Contributor]

Estimation of alternative splicing isoform frequencies from RNA-Seq data

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Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2010
Guiraud, Enrico [Author] ; Lücke, Jörg [Degree supervisor]; Häfner, Ralf [Degree supervisor]

Scalable unsupervised learning for deep discrete generative models : novel variational algorithms and their software realizations

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Oldenburg, [2020]
Villarín Pildaín, Lilian [Author]

Alcohol drinking pattern analysis : an in silico tool to model and predict addictive behaviors

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2012
Klauenberg, Katy [Author]

A semi-automatic procedure for the evaluation of tooth cementum annulation images for paleodemographic studies

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2007
Bavaro, Michele [Author]; Tullio, Federico [Author]

Intergenerational mobility measurement with latent transition matrices

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2023

Published in: Journal of economic inequality ; 21(2023), 1 vom: März, Seite 25-45
Makariou, Desponia [Author]; Barrieu, Pauline [Author]; Tzougas, George [Author]

A finite mixture modelling perspective for combining experts' opinions with an application to quantile-based risk measures

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Basel: MDPI, 2021
Goh, Chong Yang [Author]; Yan, Chiwei [Author]; Jaillet, Patrick [Author]

A Locational Demand Model for Bike-Sharing

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[S.l.]: SSRN, 2020
Bastide, Paul [Author] ; Université Paris-Saclay (ComUE) [Contributor]; Robin, Stéphane [Contributor]

Modèles de processus stochastiques avec sauts sur arbres : application à l'évolution adaptative sur des phylogénies. ; Shifted stochastic processes evolving on trees : application to models of adaptive evolution on phylogenies

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theses.fr, 2017-10-19
Majewsky, Stefan [Author] ; Gebhardt, Kilian [Degree supervisor]; Vogler, Heiko [Reviewer]; Borchmann, Daniel [Reviewer] Technische Universität Dresden

Training of Hidden Markov models as an instance of the expectation maximization algorithm

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[2017]
Mousavi, Hamid [Author] ; Lücke, Jörg [Degree supervisor]

Non-Linear Latent Variable Models for Inference and Learning from Non-Gaussian Data

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Oldenburg: BIS der Universität Oldenburg, [2022]
Georgalos, Konstantinos [Author]; Gu, Ariel [Author]; Yoo, Hong Il [Author]

Bayesian and Classical Approaches to Structural Estimation of Risk Attitudes

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[S.l.]: SSRN, [2023]
Hediger, Simon [Author]; Näf, Jeffrey [Author]; Paolella, Marc S. [Author]; Polak, Pawel [Author]

Heterogeneous tail generalized common factor modeling

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2023

Published in: Digital finance ; 5(2023), 2 vom: Juni, Seite 389-420

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