"Mixture Models for Spherical Data with Applications to Protein Bioinformatics"

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Book	Author(s)	Year	Publisher
Mixture Models and Applications	Nizar Bouguila; Wentao Fan	1st ed. 2020	Springer International Publishing
Data Mining for Bioinformatics Applications	He Zengyou	2015	Woodhead Publishing
Scalable Big Data Analytics for Protein Bioinformatics: Efficient Computational Solutions for Protein Structures	Dariusz Mrozek	1st ed. 2018	Springer International Publishing
Medical Applications of Finite Mixture Models	Peter Schlattmann	2009	Springer Berlin Heidelberg
Mixture models: theory,geometry,and applications	Bruce G. Lindsay	1995	Institute of Mathematical Statistics;American Statistical Association
Protein Bioinformatics	M. Michael Gromiha	2010	Academic Press
From Protein Structure to Function with Bioinformatics	Daniel John Rigden	2009	Springer Netherlands
From Protein Structure to Function with Bioinformatics	Daniel J. Rigden	2nd ed. 2017	Springer Netherlands
A Treatise on Spherical Trigonometry: With Applications to Spherical. . .	William J. M'Clelland; Thomas Preston	1886	Macmillan
Practical Protein Bioinformatics	Florencio Pazos; Mónica Chagoyen	2015	Springer International Publishing
Experiments with mixtures: designs, models, and the analysis of mixture data	Cornell, John A.	1981	Wiley
Spherical models	Magnus J. Wenninger	1979	Cambridge University Press
Educational flow models, with applications to Arab Statistical data. --.	Bernice Lindgren Hooker	1974	School of Education
Data Mining for Bioinformatics	Sumeet Dua; Pradeep Chowriappa	2012	Routledge
Protein Bioinformatics: From Protein Modifications and Networks to Proteomics	Cathy H. Wu; Cecilia N. Arighi; Karen E. Ross	1st ed. 2017	Springer New York
Mixture and Hidden Markov Models with R	Ingmar Visser; Maarten Speekenbrink	1st ed. 2022	Springer International Publishing
Multivariate and Mixture Distribution Rasch Models: Extensions and Applications	Matthias Davier; Claus H. Carstensen	2007	Springer New York
Joint Models for Longitudinal and Time-to-Event Data: With Applications in R	Dimitris Rizopoulos	2012	Routledge
Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data, Third Edition	John A. Cornell	2002	John Wiley & Sons
Grade Models and Methods for Data Analysis: With Applications for the Analysis of Data Populations	Teresa Kowalczyk; Elzbieta Pleszczynska; Frederick Ruland	2004	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Mixture Models for Spherical Data with Applications to Protein Bioinformatics	Kanti V. Mardia; Stuart Barber; Philippa M. Burdett; John T. Kent; Thomas Hamelryck	Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	Ashis SenGupta; Barry C. Arnold	1st ed. 2022	Springer Nature Singapore
Applications to Mixture Models		A Weak Existence Result with Application to the Financial Engineer's Calibration Problem	Gerard Brunick	2008
Mixture with spherical inclusions		Electromagnetic mixing formulas and applications	Sihvola, A. H	1999	Institution of Electrical Engineers
Mixture Models for Distributional Data	Richard Emilion	Analysis of Distributional Data	Paula Brito; Sonia Dias	2022	Routledge
Mixture Models for Survival Data	Shu Kay Ng; Liming Xiang; Kelvin Kai Wing Yau	Mixture Modelling for Medical and Health Sciences	Shu-Kay Ng	2019	Routledge
Mixture Models for Rank Data	Lirong Xia	Learning and Decision-Making from Rank Data	Lirong Xia		Springer International Publishing
Mixture models for overdispersed data	Jonathan R. Rhodes	Ecological Statistics: Contemporary theory and application	Gordon A. Fox; Simoneta Negrete-Yankelevich; Vinicio J. Sosa	2015	Oxford University Press
Applications of Bioinformatics to Protein Structures: How Protein Structure and Bioinformatics Overlap	Gye Won Han; Chris Rife; Michael R. Sawaya	Biomedical Informatics	Vadim Astakhov	2009	Humana Press
Data Syndication Techniques for Bioinformatics Applications	Chen Wang; Albert Y. Zomaya; Bing Bing Zhou	Grid Computing for Bioinformatics and Computational Biology	El-Ghazali Talbi	2007	John Wiley & Sons
Use of Mixture Models in Multiple Hypothesis Testing with Applications in Bioinformatics	Geoffrey J. McLachlan; Leesa Wockner	Classification as a Tool for Research: Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e. V. , Dresden, March 13-18, 2009	Hermann Locarek-Junge; Claus Weihs	2010	Springer Berlin Heidelberg
Applications to Bioinformatics	Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang Xiang	Computing Statistics under Interval and Fuzzy Uncertainty: Applications to Computer Science and Engineering	Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang Xiang	2012	Springer Berlin Heidelberg
Variational Bayes for Mixture Models with Censored Data	Masahiro Kohjima; Tatsushi Matsubayashi; Hiroyuki Toda	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part II	Michele Berlingerio; Francesco Bonchi; Thomas Gärtner; Neil Hurley; Georgiana Ifrim	1st ed. 2019	Springer International Publishing
Protein bioinformatics	PETER McGARVEY; HONGZHAN HUANG; CATHY H. WU	Medical Applications of Mass Spectrometry	Károly Vékey; András Telekes and Akos Vertes	2008	Elsevier
Protein Bioinformatics		Computational biology: a hypertextbook	Scott Theodore Kelley; Dennis Didulo	2018	ASM Press
Mixture Models for Multilevel Data Sets	Jeroen K. Vermunt	Handbook of Advanced Multilevel Analysis	Joop Hox; J. Kyle Roberts	2010	Routledge
Other Mixture Models for Categorical Data		Categorical Data Analysis, Second Edition	Alan Agresti	2002	John Wiley & Sons
Mixture Models for Failure-Time Data		Finite Mixture Models (Online Version)	Geoffrey McLachlan	2000	John Wiley & Sons
Other mixture models for discrete data		Categorical data analysis /	Agresti, Alan.	©2013.	Wiley-Interscience,
Learning with Mixture Models: Concepts and Applications	Padhraic Smyth	Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002, Helsinki, Finland, August 19–23, 2002, Proceedings	Tapio Elomaa; Heikki Mannila; Hannu Toivonen	2002	Springer Berlin Heidelberg
Learning with Mixture Models: Concepts and Applications	Padhraic Smyth	Machine Learning: ECML 2002: 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002. Proceedings	Tapio Elomaa; Heikki Mannila; Hannu Toivonen	2002	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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