Boosting in structured additive models:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
München
Verl. Dr. Hut
2012
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Ausgabe: | 1. Aufl. |
Schriftenreihe: | Statistik
|
Schlagworte: | |
Online-Zugang: | https://nbn-resolving.org/urn:nbn:de:bvb:19-138053 kostenfrei Inhaltsverzeichnis |
Beschreibung: | XI, 156 S. |
ISBN: | 9783843903097 |
Internformat
MARC
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035 | |a (OCoLC)785837446 | ||
035 | |a (DE-599)DNB1019448512 | ||
040 | |a DE-604 |b ger |e rakddb | ||
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245 | 1 | 0 | |a Boosting in structured additive models |c Benjamin Hofner |
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264 | 1 | |a München |b Verl. Dr. Hut |c 2012 | |
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689 | 0 | |5 DE-604 | |
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856 | 4 | |u https://nbn-resolving.org/urn:nbn:de:bvb:19-138053 |x Resolving-System | |
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912 | |a ebook | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-024795620 |
Datensatz im Suchindex
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adam_text | IMAGE 1
CONTENTS
1. INTRODUCTION 1
1.1. STATISTICAL MODELING A N D MACHINE LEARNING - TWO WORLDS? 2
1.2. SCOPE OF THIS WORK 3
1.3. STRUCTURED ADDITIVE MODELS 5
1.4. TRANSFERRING MACHINE LEARNING TOOLS TO THE REAL WORLD 5
2. AN INTRODUCTION T O BOOSTING 9
2.1. A (SHORT) HISTORY OF BOOSTING 9
2.2. FUNCTIONAL GRADIENT DESCENT BOOSTING . 11
2.2.1. COMPONENT-WISE FGD BOOSTING 12
2.3. BASE-LEARNERS 16
2.3.1. LINEAR BASE-LEARNERS 17
2.3.2. P-SPLINE BASE-LEARNERS 21
2.3.3. BIVARIATE P-SPLINE BASE-LEARNERS 22
2.3.4. RADIAL BASIS FUNCTION BASE-LEARNERS 25
2.3.5. CONSTRAINED BASE-LEARNERS 29
2.4. TUNING THE BOOSTING ALGORITHM 29
2.4.1. STEP-LENGTH 30
2.4.2. DEGREES OF FREEDOM 31
2.4.3. STOPPING ITERATION 32
2.5. BOOSTING AS A METHOD FOR SPARSE MODELING 34
2.6. FITTING GAMLSS WITH BOOSTING 36
2.7. MODEL-BASED BOOSTING IN R 38
3. A FRAMEWORK FOR UNBIASED MODEL SELECTION 4 1
3.1. (UN-) BIASED SELECTION OF BASE-LEARNERS 42
3.2. VARIABLE SELECTION BIAS UNDER TEST - A SIMULATION STUDY 49
3.2.1. BIASED SELECTION OF CATEGORICAL COVARIATES 49
3.2.2. BIASED MODEL SELECTION 53
IX
HTTP://D-NB.INFO/1019448512
IMAGE 2
X
C O N T E N T S
3.3. FOREST HEALTH PREDICTION 58
3.3.1. A COMPARISON WITH THE UNCORRECTED MODEL 61
3.4. CONCLUDING REMARKS 62
4. CONSTRAINED REGRESSION IN MULTIVARIATE STAR MODELS 65
4.1. CONSTRAINED REGRESSION - HISTORY AND PRESENT 67
4.1.1. MONOTONIC EFFECTS 67
4.1.2. PERIODIC EFFECTS 69
4.2. CONSTRAINED UNIVARIATE REGRESSION 70
4.2.1. ESTIMATING MONOTONIC, SMOOTH EFFECTS 70
4.2.2. ESTIMATING MONOTONIC CATEGORICAL EFFECTS 73
4.2.3. ESTIMATING CYCLIC, SMOOTH EFFECTS 74
4.3. EMPIRICAL EVALUATION OF CONSTRAINED EFFECT ESTIMATES 77
4.3.1. SMOOTH, MONOTONIC EFFECTS 78
4.3.2. ORDINAL, MONOTONIC EFFECTS 80
4.3.3. CYCLIC EFFECTS 81
4.4. CONSTRAINED EFFECTS FOR BIVARIATE P-SPLINES 82
4.4.1. BIVARIATE, MONOTONIC P-SPLINES 82
4.4.2. BIVARIATE, CYCLIC P-SPLINES 85
4.5. MONOTONICITY-CONSTRAINED SPECIES DISTRIBUTION MODELS FOR RED KITE
87
4.5.1. RED KITE BREEDING DISTRIBUTION 89
4.5.2. RESULTS 93
4.6. ACTIVITY OF ROE DEER 96
4.6.1. RESULTS 99
4.7. SAO PAULO AIR POLLUTION 102
4.7.1. RESULTS 106
4.8. CONCLUDING REMARKS I L L
5. SUMMARY AND FUTURE DIRECTIONS 115
APPENDICES 119
A. ALGEBRAIC DETAILS 121
A.L. MATRIX ALGEBRA FOR BIVARIATE P-SPLINES 121
A.L.L. SIMPLE EXAMPLE IN THE CONTEXT OF P-SPLINES 121
A.2. LINEAR MODELS WITH GAUSSIAN PRIOR AS SPECIAL PLS MODELS 124
IMAGE 3
CONTENTS XI
B. IMPLEMENTATION DETAILS 127
B.L. OVERVIEW OF NEWS AND CHANGES IN MBOOST 127
B.2. DIFFERENT IMPLEMENTATION OF BOLS 129
B.3. IMPLEMENTATION DETAILS FOR CHAPTER 3 133
B.4. IMPLEMENTATION DETAILS FOR CHAPTER 4 136
C. ADDITIONAL RESULTS 139
C.L. ADDITIONAL SIMULATION RESULTS FOR ORDINAL PENALIZED BASE-LEARNERS .
139
C.2. ADDITIONAL RESULTS FOR EMPIRICAL EVALUATION OF CONSTRAINED EFFECTS
. 141
C.3. ADDITIONAL RESULTS FOR SDM FOR RED KITE 142
BIBLIOGRAPHY 145
|
any_adam_object | 1 |
author | Hofner, Benjamin |
author_facet | Hofner, Benjamin |
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author_sort | Hofner, Benjamin |
author_variant | b h bh |
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bvnumber | BV039937495 |
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collection | ebook |
ctrlnum | (OCoLC)785837446 (DE-599)DNB1019448512 |
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dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.536 |
dewey-search | 519.536 |
dewey-sort | 3519.536 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Wirtschaftswissenschaften |
edition | 1. Aufl. |
format | Thesis Book |
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genre_facet | Hochschulschrift |
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institution | BVB |
isbn | 9783843903097 |
language | English |
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physical | XI, 156 S. |
psigel | ebook |
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publisher | Verl. Dr. Hut |
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spelling | Hofner, Benjamin Verfasser aut Boosting in structured additive models Benjamin Hofner 1. Aufl. München Verl. Dr. Hut 2012 XI, 156 S. txt rdacontent n rdamedia nc rdacarrier Statistik Zugl.: München, Univ., Diss., 2011 Regressionsmodell (DE-588)4127980-3 gnd rswk-swf Boosting (DE-588)4839853-6 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Regressionsmodell (DE-588)4127980-3 s Boosting (DE-588)4839853-6 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:19-138053 https://nbn-resolving.org/urn:nbn:de:bvb:19-138053 Resolving-System http://edoc.ub.uni-muenchen.de/13805/ Verlag kostenfrei DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024795620&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Hofner, Benjamin Boosting in structured additive models Regressionsmodell (DE-588)4127980-3 gnd Boosting (DE-588)4839853-6 gnd |
subject_GND | (DE-588)4127980-3 (DE-588)4839853-6 (DE-588)4113937-9 |
title | Boosting in structured additive models |
title_auth | Boosting in structured additive models |
title_exact_search | Boosting in structured additive models |
title_full | Boosting in structured additive models Benjamin Hofner |
title_fullStr | Boosting in structured additive models Benjamin Hofner |
title_full_unstemmed | Boosting in structured additive models Benjamin Hofner |
title_short | Boosting in structured additive models |
title_sort | boosting in structured additive models |
topic | Regressionsmodell (DE-588)4127980-3 gnd Boosting (DE-588)4839853-6 gnd |
topic_facet | Regressionsmodell Boosting Hochschulschrift |
url | https://nbn-resolving.org/urn:nbn:de:bvb:19-138053 http://edoc.ub.uni-muenchen.de/13805/ http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024795620&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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