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Donne autonomia e famiglia
Sono trascorsi poco più di 120 anni dallo storico anno che ha visto la prima donna professionista chiedere di essere iscritta ad un albo e solo 60 dal riconoscimento del diritto di voto alle donne nel nostro paese. Un tempo relativamente breve che ha portato grandi cambiamenti. Ma ancor oggi le differenze tra donne e uomini nelle professioni non mancano. Come vivono oggi le donne l'essere professioniste? Come si arriva a pensare di voler essere professionista donna in Italia? Le protagoniste di questa storie, donne giovani e meno giovani, ce lo spiegano con il loro vissuto. Queste vite tratteggiate, diverse per lessico, stile, dimensioni, occasioni, ubicazioni e tempo ci forniscono delle ri...
Acts of Pedagogy
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The Contribution of Young Researchers to Bayesian Statistics
The first Bayesian Young Statisticians Meeting, BAYSM 2013, has provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and post-docs dealing with Bayesian statistics to connect with the Bayesian community at large, exchange ideas, and network with scholars working in their field. The Workshop, which took place June 5th and 6th 2013 at CNR-IMATI, Milan, has promoted further research in all the fields where Bayesian statistics may be employed under the guidance of renowned plenary lecturers and senior discussants. A selection of the contributions to the meeting and the summary of one of the plenary lectures compose this volume.
Farming with Nature
A growing body of evidence shows that agricultural landscapes can be managed not only to produce crops but also to support biodiversity and promote ecosystem health. Innovative farmers and scientists, as well as indigenous land managers, are developing diverse types of “ecoagriculture” landscapes to generate cobenefits for production, biodiversity, and local people. Farming with Nature offers a synthesis of the state of knowledge of key topics in ecoagriculture. The book is a unique collaboration among renowned agricultural and ecological scientists, leading field conservationists, and farm and community leaders to synthesize knowledge and experience across sectors. The book examines: th...
Black and White
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Bayesian Analysis of Stochastic Process Models
Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models. Key features: Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment. Provides a thorough introduction for research students. Computational tools to deal with complex problems are illustrated along with real life case studies Looks at inference, prediction and decision making. Researchers, graduate and advanced undergraduate students interested in stochastic processes in fields such as statistics, operations research (OR), engineering, finance, economics, computer science and Bayesian analysis will benefit from reading this book. With numerous applications included, practitioners of OR, stochastic modelling and applied statistics will also find this book useful.
Pompei
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