Statistical analysis for high-dimensional data: the Abel Symposium 2014
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| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2016]
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| Schriftenreihe: | Abel Symposia
11 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHR01 FRO01 TUM01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext Abstract Inhaltsverzeichnis |
| Beschreibung: | 1 Online Ressource (XII, 306 Seiten, 65 illus., 19 illus. in color) |
| ISBN: | 9783319270999 |
| ISSN: | 2193-2808 |
| DOI: | 10.1007/978-3-319-27099-9 |
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Datensatz im Suchindex
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| adam_text | STATISTICAL ANALYSIS FOR HIGH-DIMENSIONAL DATA
/
: 2016
ABSTRACT / INHALTSTEXT
THIS BOOK FEATURES RESEARCH CONTRIBUTIONS FROM THE ABEL SYMPOSIUM ON
STATISTICAL ANALYSIS FOR HIGH DIMENSIONAL DATA, HELD IN NYVAGAR,
LOFOTEN, NORWAY, IN MAY 2014. THE FOCUS OF THE SYMPOSIUM WAS ON
STATISTICAL AND MACHINE LEARNING METHODOLOGIES SPECIFICALLY DEVELOPED
FOR INFERENCE IN “BIG DATA” SITUATIONS, WITH PARTICULAR REFERENCE TO
GENOMIC APPLICATIONS. THE CONTRIBUTORS, WHO ARE AMONG THE MOST PROMINENT
RESEARCHERS ON THE THEORY OF STATISTICS FOR HIGH DIMENSIONAL INFERENCE,
PRESENT NEW THEORIES AND METHODS, AS WELL AS CHALLENGING APPLICATIONS
AND COMPUTATIONAL SOLUTIONS. SPECIFIC THEMES INCLUDE, AMONG OTHERS,
VARIABLE SELECTION AND SCREENING, PENALISED REGRESSION, SPARSITY,
THRESHOLDING, LOW DIMENSIONAL STRUCTURES, COMPUTATIONAL CHALLENGES,
NON-CONVEX SITUATIONS, LEARNING GRAPHICAL MODELS, SPARSE COVARIANCE AND
PRECISION MATRICES, SEMI- AND NON-PARAMETRIC FORMULATIONS, MULTIPLE
TESTING, CLASSIFICATION, FACTOR MODELS, CLUSTERING, AND PRESELECTION.
HIGHLIGHTING CUTTING-EDGE RESEARCH AND CASTING LIGHT ON FUTURE RESEARCH
DIRECTIONS, THE CONTRIBUTIONS WILL BENEFIT GRADUATE STUDENTS AND
RESEARCHERS IN COMPUTATIONAL BIOLOGY, STATISTICS AND THE MACHINE
LEARNING COMMUNITY
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
STATISTICAL ANALYSIS FOR HIGH-DIMENSIONAL DATA
/
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
SOME THEMES IN HIGH-DIMENSIONAL STATISTICS: A. FRIGESSI ET AL
LAPLACE APPOXIMATION IN HIGH-DIMENSIONAL BAYESIAN REGRESSION: R. BARBER,
M. DRTON ET AL
PRESELECTION IN LASSO-TYPE ANALYSIS FOR ULTRA-HIGH DIMENSIONAL GENOMIC
EXPLORATION: L.C. BERGERSEN, I. GLAD ET AL
SPECTRAL CLUSTERING AND BLOCK MODELS: A REVIEW AND A NEW ALGORITHM: S.
BHATTACHARYYA ET AL
BAYESIAN HIERARCHICAL MIXTURE MODELS: L. BOTTELO ET AL
IBATCGH; INTEGRATIVE BAYESIAN ANALYSIS OF TRANSCRIPTOMIC AND CGH DATA:
CASSESE, M. VANNUCCI ET AL
MODELS OF RANDOM SPARSE EIGENMATRICES AND BAYESIAN ANALYSIS OF
MULTIVARIATE STRUCTURE: A.J. CRON, M. WEST
COMBINING SINGLE AND PAIRED END RNA-SEQ DATA FOR DIFFERENTIAL EXPRESSION
ANALYSIS: F. FENG, T.SPEED ET AL
AN IMPUTATION METHOD FOR ESTIMATION THE LEARNING CURVE IN CLASSIFICATION
PROBLEMS: E. LABER ET AL
BAYSIAN FEATURE ALLOCATION MODELS FOR TUMOR HETEROGENEITY: J. LEE, P.
MUELLER ET AL
BAYESIAN PENALTY MIXING: THE CASE OF A NON-SEPARABLE PENALTY: V. ROCKOVA
ET AL
CONFIDENCE INTERVALS FOR MAXIMIN EFFECTS IN INHOMOGENEOUS LARGE SCALE
DATA: D. ROTHENHAUSLER ET AL
CHISQUARE CONFIDENCE SETS IN HIGH-DIMENSIONAL REGRESSION: S. VAN DE GEER
ET AL.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| spelling | Abel Symposium 11. 2014 Kabelvåg Verfasser (DE-588)108514058X aut Statistical analysis for high-dimensional data the Abel Symposium 2014 Arnoldo Frigessi, Peter Bühlmann, Ingrid K. Glad, Mette Langaas, Sylvia Richardson, Marina Vannucci, editors Cham Springer [2016] © 2016 1 Online Ressource (XII, 306 Seiten, 65 illus., 19 illus. in color) txt rdacontent c rdamedia cr rdacarrier Abel Symposia 11 2193-2808 Mathematics Bioinformatics Computer mathematics Statistics Computational Mathematics and Numerical Analysis Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematik Statistik (DE-588)1071861417 Konferenzschrift 2014 Kabelvåg gnd-content Frigessi, Arnoldo Sonstige (DE-588)171409922 oth Erscheint auch als Druckausgabe 978-3-319-27097-5 Abel Symposia 11 (DE-604)BV035421265 11 https://doi.org/10.1007/978-3-319-27099-9 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840984&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Abstract Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840984&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Statistical analysis for high-dimensional data the Abel Symposium 2014 Abel Symposia Mathematics Bioinformatics Computer mathematics Statistics Computational Mathematics and Numerical Analysis Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematik Statistik |
| subject_GND | (DE-588)1071861417 |
| title | Statistical analysis for high-dimensional data the Abel Symposium 2014 |
| title_auth | Statistical analysis for high-dimensional data the Abel Symposium 2014 |
| title_exact_search | Statistical analysis for high-dimensional data the Abel Symposium 2014 |
| title_full | Statistical analysis for high-dimensional data the Abel Symposium 2014 Arnoldo Frigessi, Peter Bühlmann, Ingrid K. Glad, Mette Langaas, Sylvia Richardson, Marina Vannucci, editors |
| title_fullStr | Statistical analysis for high-dimensional data the Abel Symposium 2014 Arnoldo Frigessi, Peter Bühlmann, Ingrid K. Glad, Mette Langaas, Sylvia Richardson, Marina Vannucci, editors |
| title_full_unstemmed | Statistical analysis for high-dimensional data the Abel Symposium 2014 Arnoldo Frigessi, Peter Bühlmann, Ingrid K. Glad, Mette Langaas, Sylvia Richardson, Marina Vannucci, editors |
| title_short | Statistical analysis for high-dimensional data |
| title_sort | statistical analysis for high dimensional data the abel symposium 2014 |
| title_sub | the Abel Symposium 2014 |
| topic | Mathematics Bioinformatics Computer mathematics Statistics Computational Mathematics and Numerical Analysis Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematik Statistik |
| topic_facet | Mathematics Bioinformatics Computer mathematics Statistics Computational Mathematics and Numerical Analysis Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Life Sciences, Medicine, Health Sciences Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematik Statistik Konferenzschrift 2014 Kabelvåg |
| url | https://doi.org/10.1007/978-3-319-27099-9 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840984&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028840984&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035421265 |
| work_keys_str_mv | AT abelsymposiumkabelvag statisticalanalysisforhighdimensionaldatatheabelsymposium2014 AT frigessiarnoldo statisticalanalysisforhighdimensionaldatatheabelsymposium2014 |