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Título : The Short-Run Approach to Long-Run Equilibrium in Competitive Markets : A General Theory with Application to Peak-Load Pricing with Storage Tipo de documento: documento electrónico Autores: Anthony Horsley ; Andrew J. Wrobel ; SpringerLink (Online service) Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: Lecture Notes in Economics and Mathematical Systems, ISSN 0075-8442 num. 684 Número de páginas: X, 195 p. 7 illus Il.: online resource ISBN/ISSN/DL: 978-3-319-33398-4 Idioma : Inglés (eng) Palabras clave: Energy policy and state storage Mathematical optimization industries Economic theory Microeconomics Economics Theory/Quantitative Economics/Mathematical Methods Policy, Management Continuous Optimization Storage Clasificación: 330 Economía en general Resumen: The authors present a new formal framework for finding the long-run competitive market equilibrium through short-run equilibria by exploiting the operating policies and plant valuations. This "short-run approach" develops ideas of Boiteux and Koopmans. Applied to the peak-load pricing of electricity generated by thermal, hydro and pumped-storage plants, it gives a sound and practical method of valuing the fixed assets-in this case, the river flows and the geological sites suitable for reservoirs. Its main mathematical basis is the producer's short-run profit maximization programme and its dual; their solutions have relatively simple forms that can greatly ease the fixed-point problem of solving for the general equilibrium. Since the optimal values (profit and cost functions) are usually nondifferentiable-this is so when there are joint costs of production such as capacity constraints-nonsmooth calculus is employed to resolve long-standing discrepancies between textbook theory and industrial reality by giving subdifferential extensions of basic results of microeconomics, including the Wong-Viner Envelope Theorem Nota de contenido: Introduction -- Peak-load pricing with cross-price independent demands: a simple illustration -- Characterizations of long-run producer optimum -- Short-run profit approach to long-run market equilibrium -- Short-run approach to electricity pricing in continuous time -- Existence of optimal quantities and shadow prices with no duality gap -- Production techniques with conditionally fixed coefficients -- Conclusions En línea: http://dx.doi.org/10.1007/978-3-319-33398-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42249 The Short-Run Approach to Long-Run Equilibrium in Competitive Markets : A General Theory with Application to Peak-Load Pricing with Storage [documento electrónico] / Anthony Horsley ; Andrew J. Wrobel ; SpringerLink (Online service) . - Cham : Springer International Publishing : Imprint: Springer, 2016 . - X, 195 p. 7 illus : online resource. - (Lecture Notes in Economics and Mathematical Systems, ISSN 0075-8442; 684) .
ISBN : 978-3-319-33398-4
Idioma : Inglés (eng)
Palabras clave: Energy policy and state storage Mathematical optimization industries Economic theory Microeconomics Economics Theory/Quantitative Economics/Mathematical Methods Policy, Management Continuous Optimization Storage Clasificación: 330 Economía en general Resumen: The authors present a new formal framework for finding the long-run competitive market equilibrium through short-run equilibria by exploiting the operating policies and plant valuations. This "short-run approach" develops ideas of Boiteux and Koopmans. Applied to the peak-load pricing of electricity generated by thermal, hydro and pumped-storage plants, it gives a sound and practical method of valuing the fixed assets-in this case, the river flows and the geological sites suitable for reservoirs. Its main mathematical basis is the producer's short-run profit maximization programme and its dual; their solutions have relatively simple forms that can greatly ease the fixed-point problem of solving for the general equilibrium. Since the optimal values (profit and cost functions) are usually nondifferentiable-this is so when there are joint costs of production such as capacity constraints-nonsmooth calculus is employed to resolve long-standing discrepancies between textbook theory and industrial reality by giving subdifferential extensions of basic results of microeconomics, including the Wong-Viner Envelope Theorem Nota de contenido: Introduction -- Peak-load pricing with cross-price independent demands: a simple illustration -- Characterizations of long-run producer optimum -- Short-run profit approach to long-run market equilibrium -- Short-run approach to electricity pricing in continuous time -- Existence of optimal quantities and shadow prices with no duality gap -- Production techniques with conditionally fixed coefficients -- Conclusions En línea: http://dx.doi.org/10.1007/978-3-319-33398-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=42249 Ejemplares
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Título : Building a Columnar Database on RAMCloud : Database Design for the Low-Latency Enabled Data Center Tipo de documento: documento electrónico Autores: Christian Tinnefeld ; SpringerLink (Online service) Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: In-Memory Data Management Research, ISSN 2196-8055 Número de páginas: XIX, 130 p. 37 illus Il.: online resource ISBN/ISSN/DL: 978-3-319-20711-7 Idioma : Inglés (eng) Palabras clave: Business Management information systems Computer memory Data structures (Computer science) Database management and IT Infrastructure Memory Structures Storage Representation Clasificación: 658 Empresas. Organización de empresas Resumen: This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today's network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic, and provide high-availability. c) A modern storage system such as Stanford's RAMCloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible Nota de contenido: Part I: A Database System Architecture for a Shared Main Memory-Based Storage -- Part II: Database Operator Execution on a Shared Main Memory-Based Storage -- Part III: Evaluation -- Part IV: Conclusions En línea: http://dx.doi.org/10.1007/978-3-319-20711-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41505 Building a Columnar Database on RAMCloud : Database Design for the Low-Latency Enabled Data Center [documento electrónico] / Christian Tinnefeld ; SpringerLink (Online service) . - Cham : Springer International Publishing : Imprint: Springer, 2016 . - XIX, 130 p. 37 illus : online resource. - (In-Memory Data Management Research, ISSN 2196-8055) .
ISBN : 978-3-319-20711-7
Idioma : Inglés (eng)
Palabras clave: Business Management information systems Computer memory Data structures (Computer science) Database management and IT Infrastructure Memory Structures Storage Representation Clasificación: 658 Empresas. Organización de empresas Resumen: This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today's network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic, and provide high-availability. c) A modern storage system such as Stanford's RAMCloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible Nota de contenido: Part I: A Database System Architecture for a Shared Main Memory-Based Storage -- Part II: Database Operator Execution on a Shared Main Memory-Based Storage -- Part III: Evaluation -- Part IV: Conclusions En línea: http://dx.doi.org/10.1007/978-3-319-20711-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41505 Ejemplares
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Título : Business Intelligence : 5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015, Tutorial Lectures Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Esteban Zimányi ; Alberto Abelló Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Springer Colección: Lecture Notes in Business Information Processing, ISSN 1865-1348 num. 253 Número de páginas: IX, 131 p. 37 illus Il.: online resource ISBN/ISSN/DL: 978-3-319-39243-1 Idioma : Inglés (eng) Palabras clave: Computer science Big data system failures Data mining Information storage and retrieval Artificial intelligence Application software Science Storage Retrieval Data/Analytics System Performance Evaluation Intelligence (incl. Robotics) Appl. in Administrative Processing Mining Knowledge Discovery Clasificación: 658 Empresas. Organización de empresas Resumen: This book constitutes the tutorial lectures of the 5th European Business Intelligence Summer School, eBISS 2015, held in Barcelona, Spain, in July 2015. The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including schema evolution for databases and data warehouses, publishing OLAP cubes on the Semantic Web, design issues in social business intelligence projects, context-aware business intelligence, and key performance indicators in data warehouses Nota de contenido: Schema Evolution for Databases and Data Warehouses -- Publishing OLAP Cubes on the Semantic Web -- Design Issues in Social Business Intelligence Projects -- Context-Aware Business Intelligence -- Key Performance Indicators in Data Warehouses -- Author Index En línea: http://dx.doi.org/10.1007/978-3-319-39243-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=40996 Business Intelligence : 5th European Summer School, eBISS 2015, Barcelona, Spain, July 5-10, 2015, Tutorial Lectures [documento electrónico] / SpringerLink (Online service) ; Esteban Zimányi ; Alberto Abelló . - Cham : Springer International Publishing : Imprint: Springer, 2016 . - IX, 131 p. 37 illus : online resource. - (Lecture Notes in Business Information Processing, ISSN 1865-1348; 253) .
ISBN : 978-3-319-39243-1
Idioma : Inglés (eng)
Palabras clave: Computer science Big data system failures Data mining Information storage and retrieval Artificial intelligence Application software Science Storage Retrieval Data/Analytics System Performance Evaluation Intelligence (incl. Robotics) Appl. in Administrative Processing Mining Knowledge Discovery Clasificación: 658 Empresas. Organización de empresas Resumen: This book constitutes the tutorial lectures of the 5th European Business Intelligence Summer School, eBISS 2015, held in Barcelona, Spain, in July 2015. The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including schema evolution for databases and data warehouses, publishing OLAP cubes on the Semantic Web, design issues in social business intelligence projects, context-aware business intelligence, and key performance indicators in data warehouses Nota de contenido: Schema Evolution for Databases and Data Warehouses -- Publishing OLAP Cubes on the Semantic Web -- Design Issues in Social Business Intelligence Projects -- Context-Aware Business Intelligence -- Key Performance Indicators in Data Warehouses -- Author Index En línea: http://dx.doi.org/10.1007/978-3-319-39243-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=40996 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Compstat 2006 - Proceedings in Computational Statistics / SpringerLink (Online service) ; Alfredo Rizzi ; Maurizio Vichi (2006)
Título : Compstat 2006 - Proceedings in Computational Statistics : 17th Symposium Held in Rome, Italy, 2006 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alfredo Rizzi ; Maurizio Vichi Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2006 Número de páginas: XXV, 537 p Il.: online resource ISBN/ISSN/DL: 978-3-7908-1709-6 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical statistics Database management Information storage and retrieval Computer software Probabilities Statistics Probability Theory Stochastic Processes Software Management Computing/Statistics Programs Storage Retrieval in Science Clasificación: 51 Matemáticas Resumen: International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical knowledge through international contacts and meetings - tween statisticians, computing professionals, organizations, institutions, g- ernments and the general public. The IASC organises its own Conferences, IASC World Conferences, and COMPSTAT in Europe. The 17th Conference of ERS-IASC, the biennial meeting of European - gional Section of the IASC was held in Rome August 28 - September 1, 2006. This conference took place in Rome exactly 20 years after the 7th COMP- STAT symposium which was held in Rome, in 1986. Previous COMPSTAT conferences were held in: Vienna (Austria, 1974); West-Berlin (Germany, 1976); Leiden (The Netherlands, 1978); Edimbourgh (UK, 1980); Toulouse (France, 1982); Prague (Czechoslovakia, 1984); Rome (Italy, 1986); Copenhagen (Denmark, 1988); Dubrovnik (Yugoslavia, 1990); Neuch atel (Switzerland, 1992); Vienna (Austria,1994); Barcelona (Spain, 1996);Bristol(UK,1998);Utrecht(TheNetherlands,2000);Berlin(Germany, 2002); Prague (Czech Republic, 2004) Nota de contenido: Classification and Clustering -- Issues of robustness and high dimensionality in cluster analysis -- Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories -- Bootstrap methods for measuring classification uncertainty in latent class analysis -- A robust linear grouping algorithm -- Computing and using the deviance with classification trees -- Estimation procedures for the false discovery rate: a systematic comparison for microarray data -- A unifying model for biclustering -- Image Analysis and Signal Processing -- Non-rigid image registration using mutual information -- Musical audio analysis using sparse representations -- Robust correspondence recognition for computer vision -- Blind superresolution -- Analysis of Music Time Series -- Data Visualization -- Tying up the loose ends in simple, multiple, joint correspondence analysis -- 3 dimensional parallel coordinates plot and its use for variable selection -- Geospatial distribution of alcohol-related violence in Northern Virginia -- Visualization in comparative music research -- Exploratory modelling analysis: visualizing the value of variables -- Density estimation from streaming data using wavelets -- Multivariate Analysis -- Reducing conservatism of exact small-sample methods of inference for discrete data -- Symbolic data analysis: what is it? -- A dimensional reduction method for ordinal three-way contingency table -- Operator related to a data matrix: a survey -- Factor interval data analysis and its application -- Identifying excessively rounded or truncated data -- Statistical inference and data mining: false discoveries control -- Is ‘Which model . . .?’ the right question? -- Use of latent class regression models with a random intercept to remove the effects of the overall response rating level -- Discrete functional data analysis -- Self organizing MAPS: understanding, measuring and reducing variability -- Parameterization and estimation of path models for categorical data -- Latent class model with two latent variables for analysis of count data -- Web Based Teaching -- Challenges concerning web data mining -- e-Learning statistics — a selective review -- Quality assurance of web based e-Learning for statistical education -- Algorithms -- Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series -- Nonparametric evaluation of matching noise -- Subset selection algorithm based on mutual information -- Visiting near-optimal solutions using local search algorithms -- The convergence of optimization based GARCH estimators: theory and application -- The stochastics of threshold accepting: analysis of an application to the uniform design problem -- Robustness -- Robust classification with categorical variables -- Multiple group linear discriminant analysis: robustness and error rate En línea: http://dx.doi.org/10.1007/978-3-7908-1709-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35039 Compstat 2006 - Proceedings in Computational Statistics : 17th Symposium Held in Rome, Italy, 2006 [documento electrónico] / SpringerLink (Online service) ; Alfredo Rizzi ; Maurizio Vichi . - Heidelberg : Physica-Verlag HD, 2006 . - XXV, 537 p : online resource.
ISBN : 978-3-7908-1709-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical statistics Database management Information storage and retrieval Computer software Probabilities Statistics Probability Theory Stochastic Processes Software Management Computing/Statistics Programs Storage Retrieval in Science Clasificación: 51 Matemáticas Resumen: International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical knowledge through international contacts and meetings - tween statisticians, computing professionals, organizations, institutions, g- ernments and the general public. The IASC organises its own Conferences, IASC World Conferences, and COMPSTAT in Europe. The 17th Conference of ERS-IASC, the biennial meeting of European - gional Section of the IASC was held in Rome August 28 - September 1, 2006. This conference took place in Rome exactly 20 years after the 7th COMP- STAT symposium which was held in Rome, in 1986. Previous COMPSTAT conferences were held in: Vienna (Austria, 1974); West-Berlin (Germany, 1976); Leiden (The Netherlands, 1978); Edimbourgh (UK, 1980); Toulouse (France, 1982); Prague (Czechoslovakia, 1984); Rome (Italy, 1986); Copenhagen (Denmark, 1988); Dubrovnik (Yugoslavia, 1990); Neuch atel (Switzerland, 1992); Vienna (Austria,1994); Barcelona (Spain, 1996);Bristol(UK,1998);Utrecht(TheNetherlands,2000);Berlin(Germany, 2002); Prague (Czech Republic, 2004) Nota de contenido: Classification and Clustering -- Issues of robustness and high dimensionality in cluster analysis -- Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories -- Bootstrap methods for measuring classification uncertainty in latent class analysis -- A robust linear grouping algorithm -- Computing and using the deviance with classification trees -- Estimation procedures for the false discovery rate: a systematic comparison for microarray data -- A unifying model for biclustering -- Image Analysis and Signal Processing -- Non-rigid image registration using mutual information -- Musical audio analysis using sparse representations -- Robust correspondence recognition for computer vision -- Blind superresolution -- Analysis of Music Time Series -- Data Visualization -- Tying up the loose ends in simple, multiple, joint correspondence analysis -- 3 dimensional parallel coordinates plot and its use for variable selection -- Geospatial distribution of alcohol-related violence in Northern Virginia -- Visualization in comparative music research -- Exploratory modelling analysis: visualizing the value of variables -- Density estimation from streaming data using wavelets -- Multivariate Analysis -- Reducing conservatism of exact small-sample methods of inference for discrete data -- Symbolic data analysis: what is it? -- A dimensional reduction method for ordinal three-way contingency table -- Operator related to a data matrix: a survey -- Factor interval data analysis and its application -- Identifying excessively rounded or truncated data -- Statistical inference and data mining: false discoveries control -- Is ‘Which model . . .?’ the right question? -- Use of latent class regression models with a random intercept to remove the effects of the overall response rating level -- Discrete functional data analysis -- Self organizing MAPS: understanding, measuring and reducing variability -- Parameterization and estimation of path models for categorical data -- Latent class model with two latent variables for analysis of count data -- Web Based Teaching -- Challenges concerning web data mining -- e-Learning statistics — a selective review -- Quality assurance of web based e-Learning for statistical education -- Algorithms -- Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series -- Nonparametric evaluation of matching noise -- Subset selection algorithm based on mutual information -- Visiting near-optimal solutions using local search algorithms -- The convergence of optimization based GARCH estimators: theory and application -- The stochastics of threshold accepting: analysis of an application to the uniform design problem -- Robustness -- Robust classification with categorical variables -- Multiple group linear discriminant analysis: robustness and error rate En línea: http://dx.doi.org/10.1007/978-3-7908-1709-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35039 Ejemplares
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Título : COMPSTAT 2008 : Proceedings in Computational Statistics Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Paula Brito Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2008 Número de páginas: XVII, 573 p Il.: online resource ISBN/ISSN/DL: 978-3-7908-2084-3 Idioma : Inglés (eng) Palabras clave: Mathematics Computers Mathematical statistics Information storage and retrieval Computer mathematics Probabilities Statistics Probability Theory Stochastic Processes Computational Numerical Analysis of Computation Computing/Statistics Programs Storage Retrieval in Science Clasificación: 51 Matemáticas Nota de contenido: Keynote -- Nonparametric Methods for Estimating Periodic Functions, with Applications in Astronomy -- Advances on Statistical Computing Environments -- Back to the Future: Lisp as a Base for a Statistical Computing System -- Computable Statistical Research and Practice -- Implicit and Explicit Parallel Computing in R -- Classification and Clustering of Complex Data -- Probabilistic Modeling for Symbolic Data -- Monothetic Divisive Clustering with Geographical Constraints -- Comparing Histogram Data Using a Mahalanobis–Wasserstein Distance -- Computation for Graphical Models and Bayes Nets -- Iterative Conditional Fitting for Discrete Chain Graph Models -- Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetries -- Parameterization and Fitting of a Class of Discrete Graphical Models -- Computational Econometrics -- Exploring the Bootstrap Discrepancy -- On Diagnostic Checking Time Series Models with Portmanteau Test Statistics Based on Generalized Inverses and -- New Developments in Latent Variable Models: Non-linear and Dynamic Models -- Computational Statistics and Data Mining Methods for Alcohol Studies -- Estimating Spatiotemporal Effects for Ecological Alcohol Systems -- A Directed Graph Model of Ecological Alcohol Systems Incorporating Spatiotemporal Effects -- Spatial and Computational Models of Alcohol Use and Problems -- Finance and Insurance -- Optimal Investment for an Insurer with Multiple Risky Assets Under Mean-Variance Criterion -- Inhomogeneous Jump-GARCH Models with Applications in Financial Time Series Analysis -- The Classical Risk Model with Constant Interest and Threshold Strategy -- Estimation of Structural Parameters in Crossed Classification Credibility Model Using Linear Mixed Models -- Information Retrieval for Text and Images -- A Hybrid Approach for Taxonomy Learning from Text -- Image and Image-Set Modeling Using a Mixture Model -- Strategies in Identifying Issues Addressed in Legal Reports -- Knowledge Extraction by Models -- Sequential Automatic Search of a Subset of Classifiers in Multiclass Learning -- Possibilistic PLS Path Modeling: A New Approach to the Multigroup Comparison -- Models for Understanding Versus Models for Prediction -- Posterior Prediction Modelling of Optimal Trees -- Model Selection Algorithms -- Selecting Models Focussing on the Modeller’s Purpose -- A Regression Subset-Selection Strategy for Fat-Structure Data -- Fast Robust Variable Selection -- Models for Latent Class Detection -- Latent Classes of Objects and Variable Selection -- Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models -- Clustering via Mixture Regression Models with Random Effects -- Multiple Testing Procedures -- Testing Effects in ANOVA Experiments: Direct Combination of All Pair-Wise Comparisons Using Constrained Synchronized Permutations -- Multiple Comparison Procedures in Linear Models -- Inference for the Top-k Rank List Problem -- Random Search Algorithms -- Monitoring Random Start Forward Searches for Multivariate Data -- Generalized Differential Evolution for General Non-Linear Optimization -- Statistical Properties of Differential Evolution and Related Random Search Algorithms -- Robust Statistics -- Robust Estimation of the Vector Autoregressive Model by a Least Trimmed Squares Procedure -- The Choice of the Initial Estimate for Computing MM-Estimates -- Metropolis Versus Simulated Annealing and the Black-Box-Complexity of Optimization Problems -- Signal Extraction and Filtering -- Filters for Short Nonstationary Sequences: The Analysis of the Business Cycle -- Estimation of Common Factors Under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and Its Main Components En línea: http://dx.doi.org/10.1007/978-3-7908-2084-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34427 COMPSTAT 2008 : Proceedings in Computational Statistics [documento electrónico] / SpringerLink (Online service) ; Paula Brito . - Heidelberg : Physica-Verlag HD, 2008 . - XVII, 573 p : online resource.
ISBN : 978-3-7908-2084-3
Idioma : Inglés (eng)
Palabras clave: Mathematics Computers Mathematical statistics Information storage and retrieval Computer mathematics Probabilities Statistics Probability Theory Stochastic Processes Computational Numerical Analysis of Computation Computing/Statistics Programs Storage Retrieval in Science Clasificación: 51 Matemáticas Nota de contenido: Keynote -- Nonparametric Methods for Estimating Periodic Functions, with Applications in Astronomy -- Advances on Statistical Computing Environments -- Back to the Future: Lisp as a Base for a Statistical Computing System -- Computable Statistical Research and Practice -- Implicit and Explicit Parallel Computing in R -- Classification and Clustering of Complex Data -- Probabilistic Modeling for Symbolic Data -- Monothetic Divisive Clustering with Geographical Constraints -- Comparing Histogram Data Using a Mahalanobis–Wasserstein Distance -- Computation for Graphical Models and Bayes Nets -- Iterative Conditional Fitting for Discrete Chain Graph Models -- Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetries -- Parameterization and Fitting of a Class of Discrete Graphical Models -- Computational Econometrics -- Exploring the Bootstrap Discrepancy -- On Diagnostic Checking Time Series Models with Portmanteau Test Statistics Based on Generalized Inverses and -- New Developments in Latent Variable Models: Non-linear and Dynamic Models -- Computational Statistics and Data Mining Methods for Alcohol Studies -- Estimating Spatiotemporal Effects for Ecological Alcohol Systems -- A Directed Graph Model of Ecological Alcohol Systems Incorporating Spatiotemporal Effects -- Spatial and Computational Models of Alcohol Use and Problems -- Finance and Insurance -- Optimal Investment for an Insurer with Multiple Risky Assets Under Mean-Variance Criterion -- Inhomogeneous Jump-GARCH Models with Applications in Financial Time Series Analysis -- The Classical Risk Model with Constant Interest and Threshold Strategy -- Estimation of Structural Parameters in Crossed Classification Credibility Model Using Linear Mixed Models -- Information Retrieval for Text and Images -- A Hybrid Approach for Taxonomy Learning from Text -- Image and Image-Set Modeling Using a Mixture Model -- Strategies in Identifying Issues Addressed in Legal Reports -- Knowledge Extraction by Models -- Sequential Automatic Search of a Subset of Classifiers in Multiclass Learning -- Possibilistic PLS Path Modeling: A New Approach to the Multigroup Comparison -- Models for Understanding Versus Models for Prediction -- Posterior Prediction Modelling of Optimal Trees -- Model Selection Algorithms -- Selecting Models Focussing on the Modeller’s Purpose -- A Regression Subset-Selection Strategy for Fat-Structure Data -- Fast Robust Variable Selection -- Models for Latent Class Detection -- Latent Classes of Objects and Variable Selection -- Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models -- Clustering via Mixture Regression Models with Random Effects -- Multiple Testing Procedures -- Testing Effects in ANOVA Experiments: Direct Combination of All Pair-Wise Comparisons Using Constrained Synchronized Permutations -- Multiple Comparison Procedures in Linear Models -- Inference for the Top-k Rank List Problem -- Random Search Algorithms -- Monitoring Random Start Forward Searches for Multivariate Data -- Generalized Differential Evolution for General Non-Linear Optimization -- Statistical Properties of Differential Evolution and Related Random Search Algorithms -- Robust Statistics -- Robust Estimation of the Vector Autoregressive Model by a Least Trimmed Squares Procedure -- The Choice of the Initial Estimate for Computing MM-Estimates -- Metropolis Versus Simulated Annealing and the Black-Box-Complexity of Optimization Problems -- Signal Extraction and Filtering -- Filters for Short Nonstationary Sequences: The Analysis of the Business Cycle -- Estimation of Common Factors Under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and Its Main Components En línea: http://dx.doi.org/10.1007/978-3-7908-2084-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34427 Ejemplares
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