Boosting in nonparametric regression: constrained and unconstrained modeling approaches
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
München
Hut
2008
|
| Ausgabe: | 1. Aufl. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Mit dt. Zusammenfassung |
| Beschreibung: | II, 158 S. graph. Darst. |
| ISBN: | 9783899636796 |
Internformat
MARC
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| 245 | 1 | 0 | |a Boosting in nonparametric regression |b constrained and unconstrained modeling approaches |c Florian Leitenstorfer |
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| 300 | |a II, 158 S. |b graph. Darst. | ||
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| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Mit dt. Zusammenfassung | ||
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Datensatz im Suchindex
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| adam_text | GESCANNT DURCH CONTENTS 1 INTRODUCTION 1 1.1 SOME BASIC IDEAS OF
BOOSTING TECHNIQUES 1 1.2 GUIDELINE THROUGH THE THESIS 6 2 KNOT
SELECTION BY BOOSTING TECHNIQUES 9 2.1 INTRODUCTION 9 2.2 A SMOOTHING
PROCEDURE BASED ON CORAPONENTWISE L^-BOOSTING 10 2.3 NUMERICAL
CORAPARISONS FOR UNIVARIATE SETTINGS 14 2.3.1 SIMULATION SETTINGS 14
2.3.2 ALTERNATIVE APPROACHES 17 2.3.3 RESULTS 20 2.3.4 SENSITIVITY TO
OUTLIERS 24 2.3.5 EXAMPLE: LIDAR DATA 26 2.4 EXTENSION TO SURFACE
FITTING 26 2.5 CONCLUSION 33 2.6 ADDITIONAL DERIVATIONS 33 2.7
ROBUSTIFICATION OF THE LAKNOTSMOOTH APPROACH 34 2.7.1 OUTLINE OF THE
ALGORITHM 34 2.7.2 NUMERICAL RESULTS 37 3 GENERALIZED SMOOTH MONOTONIE
REGRESSION IN ADDITIVE MODELING BASED ON MONOTONIE BASIS FUNCTIONS 47
3.1 INTRODUCTION 47 3.2 MONOTONIE REGRESSION BY BOOSTING TECHNIQUES 49
3.3 SIMULATION AND APPLICATION 53 3.3.1 SIMULATIONS 53 3.3.2 APPLICATION
TO AUTOMOBILE DATA 61 3.4 LIKELIHOOD BASED BOOSTING IN GENERALIZED
MONOTONIC REGRESSION 62 3.5 APPLICATIONS OF GENERALIZED MONOTONIC
REGRESSION 64 3.5.1 SIMULATION RESULTS 64 3.5.2 BRONCHITIS DATA 65 3.6
CONCLUDING REMARKS 67 3.7 DERIVATION OF AN APPRAXIMATC HAT-MATRIX FOR
GMONBOOST 69 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/987775812
DIGITALISIERT DURCH REFERENCES 149 UE CONTENTS 3.8 AN EXTENSION OF THE
MONBOOST APPROACH 70 4 GENERALIZED MONOTONIC REGRESSION BASED ON
B-SPLINES 75 4.1 INTRODUCTION 75 4.2 BOOSTING B-SPLINES IN GENERALIZED
MONOTONIC REGRESSION 77 4.2.1 MONOTONICITY CONSTRAINTS FOR B-SPLINES 77
4.2.2 AN OUTLINE OF THE ALGORITHM 78 4.2.3 EXTENSION TO GENERALIZED
ADDITIVE MODEIS 81 4.3 SIMULATION RESULTS 83 4.4 AIR POLLUTION IN SAEO
PAULO 91 4.5 CONCLUDING REMARKS 96 4.6 DERIVATIONS IN DETAIL AND
ADDITIONAL MATERIAL 98 4.6.1 STANDARD DEVIATIONS 98 4.6.2 ALGEBRAIC
EXPRESSIONS OF SMOOTH FUNCTIONS 100 4.6.3 PRE-PROCESSING OF THE DATA SET
100 4.7 BOOTSTRAP APPROACHES FOR IMPROVED CONFIDENCE INTERVALS 100 4.7.1
AN OUTLINE OF THE METHODOLOGY 100 4.7.2 SIMULATION STUDY 103 4.7.3
APPLICATION TO AIR POLLUTION DATA 113 4.8 A COMPARISON BETWEEN GMONBOOST
AND GMBBOOST 114 4.8.1 POISSON REGRESSION 114 4.8.2 LOGISTIC REGRESSION
119 5 SMOOTHING WITH CURVATURE CONSTRAINTS BASED ON BOOSTING TECHNIQUES
125 5.1 INTRODUCTION 125 5.2 CURVATURE CONSTRAINTS BY BOOSTING 126 5.3
SIMULATION STUDY 130 5.3.1 DESIGN 130 5.3.2 SETTINGS FOR CURVEBOOST 131
5.3.3 ALTERNATIVE APPROACHES 131 5.3.4 RESULTS 134 5.4 APPLICATION 136
5.5 CONCLUSION 140 6 PERSPECTIVES 143
|
| adam_txt |
GESCANNT DURCH CONTENTS 1 INTRODUCTION 1 1.1 SOME BASIC IDEAS OF
BOOSTING TECHNIQUES 1 1.2 GUIDELINE THROUGH THE THESIS 6 2 KNOT
SELECTION BY BOOSTING TECHNIQUES 9 2.1 INTRODUCTION 9 2.2 A SMOOTHING
PROCEDURE BASED ON CORAPONENTWISE L^-BOOSTING 10 2.3 NUMERICAL
CORAPARISONS FOR UNIVARIATE SETTINGS 14 2.3.1 SIMULATION SETTINGS 14
2.3.2 ALTERNATIVE APPROACHES 17 2.3.3 RESULTS 20 2.3.4 SENSITIVITY TO
OUTLIERS 24 2.3.5 EXAMPLE: LIDAR DATA 26 2.4 EXTENSION TO SURFACE
FITTING 26 2.5 CONCLUSION 33 2.6 ADDITIONAL DERIVATIONS 33 2.7
ROBUSTIFICATION OF THE LAKNOTSMOOTH APPROACH 34 2.7.1 OUTLINE OF THE
ALGORITHM 34 2.7.2 NUMERICAL RESULTS 37 3 GENERALIZED SMOOTH MONOTONIE
REGRESSION IN ADDITIVE MODELING BASED ON MONOTONIE BASIS FUNCTIONS 47
3.1 INTRODUCTION 47 3.2 MONOTONIE REGRESSION BY BOOSTING TECHNIQUES 49
3.3 SIMULATION AND APPLICATION 53 3.3.1 SIMULATIONS 53 3.3.2 APPLICATION
TO AUTOMOBILE DATA 61 3.4 LIKELIHOOD BASED BOOSTING IN GENERALIZED
MONOTONIC REGRESSION 62 3.5 APPLICATIONS OF GENERALIZED MONOTONIC
REGRESSION 64 3.5.1 SIMULATION RESULTS 64 3.5.2 BRONCHITIS DATA 65 3.6
CONCLUDING REMARKS 67 3.7 DERIVATION OF AN APPRAXIMATC HAT-MATRIX FOR
GMONBOOST 69 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/987775812
DIGITALISIERT DURCH REFERENCES 149 UE CONTENTS 3.8 AN EXTENSION OF THE
MONBOOST APPROACH 70 4 GENERALIZED MONOTONIC REGRESSION BASED ON
B-SPLINES 75 4.1 INTRODUCTION 75 4.2 BOOSTING B-SPLINES IN GENERALIZED
MONOTONIC REGRESSION 77 4.2.1 MONOTONICITY CONSTRAINTS FOR B-SPLINES 77
4.2.2 AN OUTLINE OF THE ALGORITHM 78 4.2.3 EXTENSION TO GENERALIZED
ADDITIVE MODEIS 81 4.3 SIMULATION RESULTS 83 4.4 AIR POLLUTION IN SAEO
PAULO 91 4.5 CONCLUDING REMARKS 96 4.6 DERIVATIONS IN DETAIL AND
ADDITIONAL MATERIAL 98 4.6.1 STANDARD DEVIATIONS 98 4.6.2 ALGEBRAIC
EXPRESSIONS OF SMOOTH FUNCTIONS 100 4.6.3 PRE-PROCESSING OF THE DATA SET
100 4.7 BOOTSTRAP APPROACHES FOR IMPROVED CONFIDENCE INTERVALS 100 4.7.1
AN OUTLINE OF THE METHODOLOGY 100 4.7.2 SIMULATION STUDY 103 4.7.3
APPLICATION TO AIR POLLUTION DATA 113 4.8 A COMPARISON BETWEEN GMONBOOST
AND GMBBOOST 114 4.8.1 POISSON REGRESSION 114 4.8.2 LOGISTIC REGRESSION
119 5 SMOOTHING WITH CURVATURE CONSTRAINTS BASED ON BOOSTING TECHNIQUES
125 5.1 INTRODUCTION 125 5.2 CURVATURE CONSTRAINTS BY BOOSTING 126 5.3
SIMULATION STUDY 130 5.3.1 DESIGN 130 5.3.2 SETTINGS FOR CURVEBOOST 131
5.3.3 ALTERNATIVE APPROACHES 131 5.3.4 RESULTS 134 5.4 APPLICATION 136
5.5 CONCLUSION 140 6 PERSPECTIVES 143 |
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| author | Leitenstorfer, Florian |
| author_facet | Leitenstorfer, Florian |
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| bvnumber | BV023181048 |
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| ctrlnum | (OCoLC)644258167 (DE-599)BVBBV023181048 |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 1. Aufl. |
| format | Thesis Book |
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| illustrated | Illustrated |
| index_date | 2024-07-02T20:01:26Z |
| indexdate | 2024-07-09T21:12:27Z |
| institution | BVB |
| isbn | 9783899636796 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016367575 |
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| physical | II, 158 S. graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
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| publisher | Hut |
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| spelling | Leitenstorfer, Florian Verfasser aut Boosting in nonparametric regression constrained and unconstrained modeling approaches Florian Leitenstorfer 1. Aufl. München Hut 2008 II, 158 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Mit dt. Zusammenfassung Zugl.: München, Univ., Diss., 2007 Nichtparametrische Regression (DE-588)4745075-7 gnd rswk-swf Boosting (DE-588)4839853-6 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Nichtparametrische Regression (DE-588)4745075-7 s Boosting (DE-588)4839853-6 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016367575&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Leitenstorfer, Florian Boosting in nonparametric regression constrained and unconstrained modeling approaches Nichtparametrische Regression (DE-588)4745075-7 gnd Boosting (DE-588)4839853-6 gnd |
| subject_GND | (DE-588)4745075-7 (DE-588)4839853-6 (DE-588)4113937-9 |
| title | Boosting in nonparametric regression constrained and unconstrained modeling approaches |
| title_auth | Boosting in nonparametric regression constrained and unconstrained modeling approaches |
| title_exact_search | Boosting in nonparametric regression constrained and unconstrained modeling approaches |
| title_exact_search_txtP | Boosting in nonparametric regression constrained and unconstrained modeling approaches |
| title_full | Boosting in nonparametric regression constrained and unconstrained modeling approaches Florian Leitenstorfer |
| title_fullStr | Boosting in nonparametric regression constrained and unconstrained modeling approaches Florian Leitenstorfer |
| title_full_unstemmed | Boosting in nonparametric regression constrained and unconstrained modeling approaches Florian Leitenstorfer |
| title_short | Boosting in nonparametric regression |
| title_sort | boosting in nonparametric regression constrained and unconstrained modeling approaches |
| title_sub | constrained and unconstrained modeling approaches |
| topic | Nichtparametrische Regression (DE-588)4745075-7 gnd Boosting (DE-588)4839853-6 gnd |
| topic_facet | Nichtparametrische Regression Boosting Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016367575&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT leitenstorferflorian boostinginnonparametricregressionconstrainedandunconstrainedmodelingapproaches |