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Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura
| Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura |
| Autore | Matsuura Kentaro |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (395 pages) |
| Disciplina | 519.542 |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Biometry Social sciences - Statistical methods Statistics and Computing Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Estadística bayesiana Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789811947551
9789811947544 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data. |
| Record Nr. | UNISA-996508571103316 |
Matsuura Kentaro
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bayesian Statistical Modeling with Stan, R, and Python / / by Kentaro Matsuura
| Bayesian Statistical Modeling with Stan, R, and Python / / by Kentaro Matsuura |
| Autore | Matsuura Kentaro |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (395 pages) |
| Disciplina | 519.542 |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Biometry Social sciences - Statistical methods Statistics and Computing Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Estadística bayesiana Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789811947551
9789811947544 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data. |
| Record Nr. | UNINA-9910645896403321 |
|
Matsuura Kentaro
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big and Complex Data Analysis : Methodologies and Applications / / edited by S. Ejaz Ahmed
| Big and Complex Data Analysis : Methodologies and Applications / / edited by S. Ejaz Ahmed |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 386 p. 85 illus., 55 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Contributions to Statistics |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Quantitative research Biometry Data mining Statistical Theory and Methods Statistics and Computing Data Analysis and Big Data Biostatistics Data Mining and Knowledge Discovery |
| ISBN | 3-319-41573-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Unsupervised Bump Hunting Using Principal Components -- Statistical Process Control Charts as a Tool for Analyzing Big Data -- Empirical Likelihood Test for High Dimensional Generalized Linear Models -- Identifying gene-environment interactions associated with prognosis using penalized quantile regression -- A Computationally Efficient Approach for Modeling Complex and Big Survival Data -- Regularization after marginal learning for ultra-high dimensional regression models -- Tests of concentration for low-dimensional and high-dimensional directional data -- Random Projections For Large-Scale Regression -- How Different are Estimated Genetic Networks of Cancer Subtypes? -- Analysis of correlated data with error-prone response under generalized linear mixed models -- High-Dimensional Classification for Brain Decoding -- Optimal shrinkage estimation in heteroscedastic hierarchical linear models -- Bias-reduced moment estimators of Population Spectral Distribution and their applications -- Testing in the Presence of Nuisance Parameters: Some Comments on Tests Post-Model-Selection and Random Critical Values -- A Mixture of Variance-Gamma Factor Analyzers -- Fast Community Detection in Complex Networks with a K-Depths Classifier. |
| Record Nr. | UNINA-9910254293703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatic and Statistical Analysis of Microbiome Data [[electronic resource] ] : From Raw Sequences to Advanced Modeling with QIIME 2 and R / / by Yinglin Xia, Jun Sun
| Bioinformatic and Statistical Analysis of Microbiome Data [[electronic resource] ] : From Raw Sequences to Advanced Modeling with QIIME 2 and R / / by Yinglin Xia, Jun Sun |
| Autore | Xia Yinglin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (716 pages) |
| Disciplina | 576 |
| Soggetto topico |
Bioinformatics
Biometry Big data Mathematical statistics - Data processing Biotechnology Biomedical engineering Biostatistics Big Data Statistics and Computing Biomedical Engineering and Bioengineering |
| Soggetto non controllato |
Microbiology
Science |
| ISBN |
9783031213915
9783031213908 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction to Linux and Unix -- Chapter 2. Introduction to R, Rstudio -- Chapter 3. Bioinformatic Analysis of Next-Generation Sequencing -- Chapter 4. Bioinformatic Analysis of Metagenomics -- Chapter 5. Alpha Diversity -- Chapter 6. Beta Diversity -- Chapter 7. Differential Abundance Analysis -- Chapter 8. Analyzing Zero-Inflated Microbiome Data -- Chapter 9. Compositional Analysis of Microbiome Data -- Chapter 10. Longitudinal Data Analysis of Microbiome -- Chapter 11. Meta-analysis of Microbiome Data (optional). |
| Record Nr. | UNISA-996547956503316 |
|
Xia Yinglin
|
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatic and Statistical Analysis of Microbiome Data : From Raw Sequences to Advanced Modeling with QIIME 2 and R / / by Yinglin Xia, Jun Sun
| Bioinformatic and Statistical Analysis of Microbiome Data : From Raw Sequences to Advanced Modeling with QIIME 2 and R / / by Yinglin Xia, Jun Sun |
| Autore | Xia Yinglin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (716 pages) |
| Disciplina |
576
579.17 |
| Soggetto topico |
Bioinformatics
Biometry Big data Mathematical statistics - Data processing Biotechnology Biomedical engineering Biostatistics Big Data Statistics and Computing Biomedical Engineering and Bioengineering |
| Soggetto non controllato |
Microbiology
Science |
| ISBN |
9783031213915
9783031213908 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction to Linux and Unix -- Chapter 2. Introduction to R, Rstudio -- Chapter 3. Bioinformatic Analysis of Next-Generation Sequencing -- Chapter 4. Bioinformatic Analysis of Metagenomics -- Chapter 5. Alpha Diversity -- Chapter 6. Beta Diversity -- Chapter 7. Differential Abundance Analysis -- Chapter 8. Analyzing Zero-Inflated Microbiome Data -- Chapter 9. Compositional Analysis of Microbiome Data -- Chapter 10. Longitudinal Data Analysis of Microbiome -- Chapter 11. Meta-analysis of Microbiome Data (optional). |
| Record Nr. | UNINA-9910725100103321 |
|
Xia Yinglin
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biomath
| Biomath |
| Pubbl/distr/stampa | Sofia : , : Biomath Forum, , [2012]- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Biostatistics
Models, Biological Biometry Mathematical Biology |
| Soggetto genere / forma |
Electronic journals.
Periodical Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910286459303321 |
| Sofia : , : Biomath Forum, , [2012]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biomath
| Biomath |
| Pubbl/distr/stampa | Sofia : , : Biomath Forum, , [2012]- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Biostatistics
Models, Biological Biometry Mathematical Biology |
| Soggetto genere / forma |
Periodical
Periodicals. |
| ISSN | 1314-684X |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996450451203316 |
| Sofia : , : Biomath Forum, , [2012]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biomath
| Biomath |
| Pubbl/distr/stampa | Sofia : , : Biomath Forum, , [2012]- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Biostatistics
Models, Biological Biometry Mathematical Biology |
| Soggetto genere / forma |
Periodical
Periodicals. |
| ISSN | 1314-684X |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910514178503321 |
| Sofia : , : Biomath Forum, , [2012]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biomedical natural language processing / / Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication
| Biomedical natural language processing / / Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication |
| Pubbl/distr/stampa | Amsterdam : , : J. Benjamins Publishing Company, , [2014] |
| Descrizione fisica | 1 online resource (172 p.) |
| Disciplina | 006.3/5 |
| Altri autori (Persone) |
CohenKevin Bretonnel
Demner-FushmanDina |
| Collana | Natural Language Processing |
| Soggetto topico |
Computational linguistics - Statistical methods
Natural language processing (Computer science) Biometry Medical statistics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-4619-5776-1
90-272-7106-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Biomedical Natural Language Processing""; ""Editorial page ""; ""Title page ""; ""LCC data ""; ""Acknowledgments""; ""Table of contents""; ""List of figures""; ""1. Introduction to natural language processing""; ""1.1 Some definitions ""; ""1.1.1 Computational linguistics ""; ""1.1.2 Natural language processing ""; ""1.1.3 Text mining ""; ""1.1.4 Usage of these definitions in practice ""; ""1.2 Levels of document and linguistic structure and their relationship to natural language processin""; ""1.2.1 Document structure ""; ""1.2.2 Sentences ""; ""1.2.3 Tokens ""
""1.2.4 Stems and lemmata """"1.2.5 Part of speech ""; ""1.2.6 Syntactic structure ""; ""1.2.7 Semantics ""; ""2. Historical background""; ""2.1 Early work in the medical domain ""; ""2.2 The emergence of the biological domain ""; ""2.3 Clinical text mining ""; ""2.4 Types of users of biomedical NLP systems ""; ""2.5 Resources and tools ""; ""US National Library of Medicine ""; ""MEDLINE database ""; ""Medical Subject Headings ""; ""PubMed ""; ""GENIA ""; ""PubMed Central International ""; ""2.6 Legal and ethical issues ""; ""2.7 Is biomedical natural language processing effective? "" ""3. Named entity recognition""""3.1 Overview ""; ""3.2 The crucial role of named entity recognition in BioNLP tasks ""; ""3.3 Why gene names are the way they are ""; ""3.4 An example of a rule-based gene NER system: KeX/PROPER ""; ""3.5 An example of a statistical disease NER system ""; ""3.6 Evaluation ""; ""4. Relation extraction""; ""4.1 Introduction ""; ""4.1.1 Protein-protein interactions as an information extraction target ""; ""4.2 Binarity of most biomedical information extraction systems ""; ""4.3 Beyond simple binary relations ""; ""4.4 Rule-based systems "" ""4.4.1 Co-occurrence """"4.4.2 Example rule-based systems ""; ""4.4.3 Machine learning systems ""; ""4.5 Relations in clinical narrative ""; ""4.5.1 MedLEE ""; ""4.6 SemRep ""; ""4.6.1 NegEX ""; ""4.7 Evaluation ""; ""5. Information retrieval/document classification""; ""5.1 Background ""; ""5.1.1 Growth in the biomedical literature ""; ""5.1.2 PubMed/MEDLINE ""; ""5.2 Issues ""; ""5.3 A knowledge-based system that disambiguates gene names ""; ""5.4 A phrase-based search engine, with term and concept expansion and probabilistic relevance rankin""; ""5.5 Full text "" ""5.6 Image and figure search """"5.7 Captions ""; ""5.7.1 Evaluation ""; ""6. Concept normalization""; ""6.1 Gene normalization ""; ""6.1.1 The BioCreative definition of the gene normalization task ""; ""6.2 Building a successful gene normalization system ""; ""6.2.1 Coordination and ranges ""; ""6.2.2 An example system ""; ""6.3 Normalization and extraction of clinically pertinent terms ""; ""6.3.1 MetaMap UMLS mapping tools ""; ""7. Ontologies and computational lexical semantics""; ""7.1 Unified Medical Language System (UMLS) ""; ""7.1.1 The Gene Ontology "" ""7.2 Recognizing ontology terms in text "" |
| Record Nr. | UNINA-9910464950903321 |
| Amsterdam : , : J. Benjamins Publishing Company, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biomedical natural language processing / / Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication
| Biomedical natural language processing / / Kevin Bretonnel Cohen, University of Colorado ; Dina Demner-Fushman, Lister Hill National Center for Biomedical Communication |
| Pubbl/distr/stampa | Amsterdam : , : J. Benjamins Publishing Company, , [2014] |
| Descrizione fisica | 1 online resource (172 p.) |
| Disciplina | 006.3/5 |
| Altri autori (Persone) |
CohenKevin Bretonnel
Demner-FushmanDina |
| Collana | Natural Language Processing |
| Soggetto topico |
Computational linguistics - Statistical methods
Natural language processing (Computer science) Biometry Medical statistics |
| ISBN |
1-4619-5776-1
90-272-7106-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Biomedical Natural Language Processing""; ""Editorial page ""; ""Title page ""; ""LCC data ""; ""Acknowledgments""; ""Table of contents""; ""List of figures""; ""1. Introduction to natural language processing""; ""1.1 Some definitions ""; ""1.1.1 Computational linguistics ""; ""1.1.2 Natural language processing ""; ""1.1.3 Text mining ""; ""1.1.4 Usage of these definitions in practice ""; ""1.2 Levels of document and linguistic structure and their relationship to natural language processin""; ""1.2.1 Document structure ""; ""1.2.2 Sentences ""; ""1.2.3 Tokens ""
""1.2.4 Stems and lemmata """"1.2.5 Part of speech ""; ""1.2.6 Syntactic structure ""; ""1.2.7 Semantics ""; ""2. Historical background""; ""2.1 Early work in the medical domain ""; ""2.2 The emergence of the biological domain ""; ""2.3 Clinical text mining ""; ""2.4 Types of users of biomedical NLP systems ""; ""2.5 Resources and tools ""; ""US National Library of Medicine ""; ""MEDLINE database ""; ""Medical Subject Headings ""; ""PubMed ""; ""GENIA ""; ""PubMed Central International ""; ""2.6 Legal and ethical issues ""; ""2.7 Is biomedical natural language processing effective? "" ""3. Named entity recognition""""3.1 Overview ""; ""3.2 The crucial role of named entity recognition in BioNLP tasks ""; ""3.3 Why gene names are the way they are ""; ""3.4 An example of a rule-based gene NER system: KeX/PROPER ""; ""3.5 An example of a statistical disease NER system ""; ""3.6 Evaluation ""; ""4. Relation extraction""; ""4.1 Introduction ""; ""4.1.1 Protein-protein interactions as an information extraction target ""; ""4.2 Binarity of most biomedical information extraction systems ""; ""4.3 Beyond simple binary relations ""; ""4.4 Rule-based systems "" ""4.4.1 Co-occurrence """"4.4.2 Example rule-based systems ""; ""4.4.3 Machine learning systems ""; ""4.5 Relations in clinical narrative ""; ""4.5.1 MedLEE ""; ""4.6 SemRep ""; ""4.6.1 NegEX ""; ""4.7 Evaluation ""; ""5. Information retrieval/document classification""; ""5.1 Background ""; ""5.1.1 Growth in the biomedical literature ""; ""5.1.2 PubMed/MEDLINE ""; ""5.2 Issues ""; ""5.3 A knowledge-based system that disambiguates gene names ""; ""5.4 A phrase-based search engine, with term and concept expansion and probabilistic relevance rankin""; ""5.5 Full text "" ""5.6 Image and figure search """"5.7 Captions ""; ""5.7.1 Evaluation ""; ""6. Concept normalization""; ""6.1 Gene normalization ""; ""6.1.1 The BioCreative definition of the gene normalization task ""; ""6.2 Building a successful gene normalization system ""; ""6.2.1 Coordination and ranges ""; ""6.2.2 An example system ""; ""6.3 Normalization and extraction of clinically pertinent terms ""; ""6.3.1 MetaMap UMLS mapping tools ""; ""7. Ontologies and computational lexical semantics""; ""7.1 Unified Medical Language System (UMLS) ""; ""7.1.1 The Gene Ontology "" ""7.2 Recognizing ontology terms in text "" |
| Record Nr. | UNINA-9910789025603321 |
| Amsterdam : , : J. Benjamins Publishing Company, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
-
Biometry
(363)
- Biostatistics (83)
- Statistics (62)
- Medical statistics (52)
- Statistical Theory and Methods (29)