The Out Of Sample Performance Of Stochastic Methods In Forecasting Age Specific Mortality Rates PDF Download
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Author | : Javier Meseguer |
Publisher | : |
Total Pages | : 76 |
Release | : 2008 |
Genre | : Mortality |
ISBN | : |
Download The Out-of-sample Performance of Stochastic Methods in Forecasting Age-specific Mortality Rates Book in PDF, ePub and Kindle
Author | : Javier Meseguer |
Publisher | : BiblioGov |
Total Pages | : 66 |
Release | : 2013-06 |
Genre | : |
ISBN | : 9781289013646 |
Download The Out-Of-Sample Performance of Stochastic Methods in Forecasting Age-Specific Mortality Rates Book in PDF, ePub and Kindle
This paper evaluates the out-of-sample performance of two stochastic models used to forecast age-specific mortality rates: (1) the model proposed by Lee and Carter (1992); and (2) a set of univariate autoregressions linked together by a common residual covariance matrix (Denton, Feavor, and Spencer 2005).
Author | : Álvaro Rocha |
Publisher | : Springer Nature |
Total Pages | : 602 |
Release | : 2021-04-22 |
Genre | : Technology & Engineering |
ISBN | : 3030726576 |
Download Trends and Applications in Information Systems and Technologies Book in PDF, ePub and Kindle
This book is composed of a selection of articles from The 2021 World Conference on Information Systems and Technologies (WorldCIST'21), held online between 30 and 31 of March and 1 and 2 of April 2021 at Hangra de Heroismo, Terceira Island, Azores, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern information systems and technologies research, together with their technological development and applications. The main topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; N) Technologies for Biomedical Applications.
Author | : Stefano Mazzuco |
Publisher | : Springer Nature |
Total Pages | : 261 |
Release | : 2020-09-28 |
Genre | : Social Science |
ISBN | : 3030424723 |
Download Developments in Demographic Forecasting Book in PDF, ePub and Kindle
This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric models, cohort approaches, elicitation of expert opinion, evaluation of probabilistic forecasts are some of the topics covered in the book. In addition, the book is accompanied by complementary material on the web allowing readers to practice with some of the ideas exposed in the book. Readers are encouraged to use this material to apply the new methods to their own data. The book is an important read for demographers, applied statisticians, as well as other social scientists interested or active in the field of population forecasting. Professional population forecasters in statistical agencies will find useful new ideas in various chapters.
Author | : Tommy Bengtsson |
Publisher | : Springer |
Total Pages | : 349 |
Release | : 2019-03-28 |
Genre | : Social Science |
ISBN | : 3030050750 |
Download Old and New Perspectives on Mortality Forecasting Book in PDF, ePub and Kindle
This open access book describes methods of mortality forecasting and discusses possible improvements. It contains a selection of previously unpublished and published papers, which together provide a state-of-the-art overview of statistical approaches as well as behavioural and biological perspectives. The different parts of the book provide discussions of current practice, probabilistic forecasting, the linearity in the increase of life expectancy, causes of death, and the role of cohort factors. The key question in the book is whether it is possible to project future mortality accurately, and if so, what is the best approach. This makes the book a valuable read to demographers, pension planners, actuaries, and all those interested and/or working in modelling and forecasting mortality.
Author | : Federico Girosi |
Publisher | : Princeton University Press |
Total Pages | : 294 |
Release | : 2008-08-24 |
Genre | : Social Science |
ISBN | : 9780691130958 |
Download Demographic Forecasting Book in PDF, ePub and Kindle
Demographic Forecasting introduces new statistical tools that can greatly improve forecasts of population death rates. Mortality forecasting is used in a wide variety of academic fields, and for policymaking in global health, social security and retirement planning, and other areas. Federico Girosi and Gary King provide an innovative framework for forecasting age-sex-country-cause-specific variables that makes it possible to incorporate more information than standard approaches. These new methods more generally make it possible to include different explanatory variables in a time-series regression for each cross section while still borrowing strength from one regression to improve the estimation of all. The authors show that many existing Bayesian models with explanatory variables use prior densities that incorrectly formalize prior knowledge, and they show how to avoid these problems. They also explain how to incorporate a great deal of demographic knowledge into models with many fewer adjustable parameters than classic Bayesian approaches, and develop models with Bayesian priors in the presence of partial prior ignorance. By showing how to include more information in statistical models, Demographic Forecasting carries broad statistical implications for social scientists, statisticians, demographers, public-health experts, policymakers, and industry analysts. Introduces methods to improve forecasts of mortality rates and similar variables Provides innovative tools for more effective statistical modeling Makes available free open-source software and replication data Includes full-color graphics, a complete glossary of symbols, a self-contained math refresher, and more
Author | : Pavel Shevchenko |
Publisher | : MDPI |
Total Pages | : 231 |
Release | : 2018-08-09 |
Genre | : Electronic books |
ISBN | : 3038428248 |
Download Ageing Population Risks Book in PDF, ePub and Kindle
This book is a printed edition of the Special Issue "Ageing Population Risks" that was published in Risks
Author | : Federico Girosi |
Publisher | : Princeton University Press |
Total Pages | : 267 |
Release | : 2018-06-05 |
Genre | : Social Science |
ISBN | : 0691186782 |
Download Demographic Forecasting Book in PDF, ePub and Kindle
Demographic Forecasting introduces new statistical tools that can greatly improve forecasts of population death rates. Mortality forecasting is used in a wide variety of academic fields, and for policymaking in global health, social security and retirement planning, and other areas. Federico Girosi and Gary King provide an innovative framework for forecasting age-sex-country-cause-specific variables that makes it possible to incorporate more information than standard approaches. These new methods more generally make it possible to include different explanatory variables in a time-series regression for each cross section while still borrowing strength from one regression to improve the estimation of all. The authors show that many existing Bayesian models with explanatory variables use prior densities that incorrectly formalize prior knowledge, and they show how to avoid these problems. They also explain how to incorporate a great deal of demographic knowledge into models with many fewer adjustable parameters than classic Bayesian approaches, and develop models with Bayesian priors in the presence of partial prior ignorance. By showing how to include more information in statistical models, Demographic Forecasting carries broad statistical implications for social scientists, statisticians, demographers, public-health experts, policymakers, and industry analysts. Introduces methods to improve forecasts of mortality rates and similar variables Provides innovative tools for more effective statistical modeling Makes available free open-source software and replication data Includes full-color graphics, a complete glossary of symbols, a self-contained math refresher, and more
Author | : Ming Yi |
Publisher | : Frontiers Media SA |
Total Pages | : 122 |
Release | : 2023-08-01 |
Genre | : Medical |
ISBN | : 2832528562 |
Download Update on diagnostic and prognostic biomarkers for women’s cancers Book in PDF, ePub and Kindle
Author | : Michael Kamp |
Publisher | : Springer Nature |
Total Pages | : 601 |
Release | : 2022-02-18 |
Genre | : Computers |
ISBN | : 303093733X |
Download Machine Learning and Principles and Practice of Knowledge Discovery in Databases Book in PDF, ePub and Kindle
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLiSE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (SoGood 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)