Cantitate/Preț
Produs
Total produse
Vezi coșul
New Frontiers in Statistics and Data Science de Lígia Henriques-Rodrigues

New Frontiers in Statistics and Data Science: Springer Proceedings in Mathematics & Statistics, cartea 469

Editat de Lígia Henriques-Rodrigues, Raquel Menezes, Luís Meira Machado, Susana Faria, Miguel de Carvalho
en Limba Engleză Hardback – 12 ian 2025

Această culegere de studii reprezintă o sinteză riguroasă a celor mai recente cercetări prezentate în cadrul celui de-al XXVI-lea Congres al Societății Portugheze de Statistică. Remarcăm structura echilibrată a volumului, care reușește să integreze treizeci și două de contribuții științifice ce navighează între rigoarea teoretică a matematicii și pragmatismul analizei de date aplicate. Notăm cu interes prezența unor capitole dedicate unor teme emergente, precum evaluarea performanței fondurilor de investiții verzi prin modelul EU-EV sau analiza riscurilor de vulnerabilitate cibernetică, elemente care ancorează lucrarea în realitățile economice și tehnologice actuale.

Progresia editorială urmează o logică a complexității: volumul începe cu rafinări ale estimatorilor de densitate pentru date circulare și avansează către modele complexe de fragilitate aditivă pentru date recurente. New Frontiers in Statistics and Data Science extinde cadrul propus de Recent Developments in Statistics and Data Science prin introducerea unor date noi din cercetările anului 2023, punând un accent sporit pe utilizarea instrumentelor computaționale moderne. De exemplu, capitolul dedicat aplicației Survapp oferă o perspectivă utilă asupra modului în care analiza de supraviețuire poate fi democratizată prin interfețe interactive.

Comparativ cu lucrările anterioare din serie, precum cele editate de António Pacheco sau João Lita Da Silva, volumul de față evidențiază o evoluție clară către analiza câmpurilor aleatorii multivariate și a ecuațiilor stocastice cu derivate parțiale aplicate datelor meteorologice. Stilul este unul academic precis, adresându-se specialiștilor care posedă deja un fundament solid în calculul probabilităților, dar rămâne o resursă valoroasă și pentru cercetătorii din discipline conexe care caută metodologii robuste pentru interpretarea fenomenelor complexe.

Citește tot Restrânge

Din seria Springer Proceedings in Mathematics & Statistics

Preț: 134665 lei

Preț vechi: 164226 lei
-18%

Puncte Express: 2020

Carte disponibilă

Livrare economică 12-26 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783031689482
ISBN-10: 3031689488
Pagini: 472
Ilustrații: Approx. 350 p.
Dimensiuni: 160 x 241 x 31 mm
Greutate: 0.87 kg
Ediția:2025
Editura: Springer
Colecția Springer Proceedings in Mathematics & Statistics
Seria Springer Proceedings in Mathematics & Statistics

Locul publicării:Cham, Switzerland

De ce să citești această carte

Această lucrare este esențială pentru cercetătorii și practicienii din domeniul statisticii care doresc să rămână la curent cu cele mai noi metodologii de calcul. Cititorul câștigă acces la studii de caz aplicate în ecologie, medicină și finanțe, beneficiind de soluții matematice verificate pentru probleme precum datele lipsă în seriile temporale sau estimarea indicilor extremi în analiza riscurilor.

Despre autor

Volumul este coordonat de un colectiv de experți de prestigiu, sub egida Societății Portugheze de Statistică. Lígia Henriques-Rodrigues și Raquel Menezes, alături de Luís Meira Machado, Susana Faria și Miguel de Carvalho, sunt cercetători activi în comunitatea academică internațională, având o experiență vastă în editarea lucrărilor de specialitate și în organizarea forurilor științifice de profil. Expertiza lor combinată asigură o selecție riguroasă a materialelor, acoperind nișe diverse precum biostatistica, econometria și modelarea stocastică, oferind astfel o viziune de ansamblu asupra direcțiilor viitoare ale disciplinei.

Descriere scurtă

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both theoretical and applied statistics. Each contribution highlights the latest advancements and research in the field, offering valuable insights and innovative methodologies for researchers and practitioners alike. Readers with a background in mathematics and statistics will find it particularly beneficial, while researchers from various scientific disciplines can explore numerous robust applications.

Cuprins

- A note on a Parzen–Rosenblatt type density estimator for circular data.- Population Growth and Geometrically Thinned Extreme Value Theory.- An additive shared frailty model for recurrent gap time data in the presence of zero-recurrence subjects.- Clustering and Risk Analysis for evaluating the water quality of a hydrological basin.- Green Exchange-Traded Fund Performance Evaluation Using the EU-EV Risk Model.- Risk Assessment of Vulnerabilities Exploitation.- Bayesian modelling of time series of counts with missing data.- Sexual Classification Based on Orthopantomographs.- Survapp: a Shiny Application for Survival Data Analysis.- An Application of Multivariate Random Fields and Systems of Stochastic Partial Differential Equations to Wind Velocity Data.- A direct approach in extremal index estimation.- When PACE-Gate Meets Sample Size Calculations.- An Approach for Predicting Spatially Indexed Carcass Persistence Probability to Estimate Bird Mortality at Power Lines.- Extremal Behavior of Some Bivariate Integer Models.- Solar Radiation Forecasting: A Study Case in the Colombian Caribbean Region.- Sources of bias when assessing seasonal influenza vaccine performance: a narrative review.- Peaks Over Random Thresholds (PORT) Estimation of the Weibull Tail Coefficient.- Exploring the Mutual Information Rate Decomposition in Situations of Pathological Stress.- A Simulation Comparison of Spatial Models for Preferential Sampling.- A Partially Reduced Bias Hill Estimator of the Extreme Value Index.- The importance of experimental design principles in agricultural field trials: a note for grapevine field trials.- A new class of conditional tail expectation estimators.- Tail (In)dependence: a Comparative Analysis of Estimation Methods.- Robust Estimation for the Random Effects Panel Data Models.- Air Quality Data Analysis with Symbolic Principal Components.- Geostatistical Models for Identifying Juvenile Fish Hotspots in Marine Conservation.- Count Models and Randomness Patterns.- Neurological Disease Classification based on Gait Analysis through Transformation-Based Multiple Linear Regression Normalization.- Model and Threshold Selection in the Peaks-Over-Threshold (POT) Methodology: Application to Extreme Precipitation Values in Madeira and Porto Santo Islands.- Revisiting Estimation Methods for Some Parameters of Rare Events.- Clustering and Classification of Compositional Data Using Distributions Defined on the Hypersphere.- Joint Models of Longitudinal Binary Responses: A Nonparametric Bayesian Approach.

Notă biografică

Lígia Henriques-Rodrigues is an Assistant Professor in the Mathematics Department at the School of Science and Technology, University of Évora (Portugal), and a researcher at the Center of Mathematics and Applications, Institute for Research and Advanced Training at the same institution. Lígia is currently an elected member of the board of directors of the Portuguese Statistical Society (2024–2026). She has collaborated as a referee for several international peer-reviewed journals. Her main research interests are statistics of extremes, nonparametric statistics, and computational statistical methods, with applications in life sciences, environment, risk, insurance, and finance.
Raquel Menezes is an Associate Professor with Habilitation in the Department of Mathematics, University of Minho, Portugal and a member of its Centre of Mathematics. She is an invited researcher at the Centre of Statistics and its Applications (CEAUL), Lisbon University. Her main research interests are spatial and temporal statistics, non-parametric estimation, species distribution modelling and their applications. She has acted as principal investigator of projects funded by the Portuguese National Funding Agency for Science, Research and Technology. Since 2019, she has collaborated with the Department of the Sea and Marine Resources of IPMA. In the last 12 years, she has supervised 6 PhD students and published about 34 papers in international peer-reviewed journals.
Luís Meira Machado is a Full Professor in the Department of Mathematics at the University of Minho, Portugal, and a researcher at its Centre of Mathematics. His research interests encompass various aspects of survival analysis, with a particular focus on multi-state models, nonparametric estimation, ROC curves, generalized additive models, and computational statistics. More recently, he has extended his focus to the application of these methodologies within the domain of machine learning. With over 53 journal articles and book chapters, he has made significant contributions, including advancements in multi-state models and computational statistics, showcased by the creation of 12 packages in the CRAN R repository. Luís is the current President of the Portuguese Statistical Society.
Miguel de Carvalho is the Chair of Statistical Data Science at the University of Edinburgh and the Co-Director of the Edinburgh Centre for Financial Innovations. His eclectic research interests include applied statistics, biostatistics, econometrics, risk analysis, and statistics of extremes. Miguel has served as an Associate Editor for top-tier journals such as The American Statistician, The Annals of Applied Statistics, and the Journal of the American Statistical Association. He is an Elected Fellow of the International Statistical Institute and holds an honorary appointment as Invited Full Professor at Universidade de Aveiro.
Susana Faria is an Associate Professor in the Department of Mathematics at the University of Minho, Portugal and a researcher at its Centre of Mathematics. Her main scientific areas of interest include regression models, mixture models, and mathematical modeling. She has collaborated as a referee for several international peer-reviewed journals. Her publications are in statistics and its applications, with an emphasis on life and health sciences, engineering, and social sciences.

Caracteristici

Uncovers cutting-edge advancements in statistics and data science Provides a global perspective on how to apply statistical methods across diverse fields with ease Presents peer-reviewed articles showcasing the forefront of Portuguese statistical research