01932nam0 22004573i 450 VAN024874420230529020637.692N978303055897020220729d2020 |0itac50 baengCH|||| |||||Bayesian CompendiumMarcel van OijenChamSpringer2020xiv, 204 p.ill.24 cmVAN0248745Bayesian Compendium237796162-XXStatistics [MSC 2020]VANC022998MF62F15Bayesian inference [MSC 2020]VANC024528MF62R07Statistical aspects of big data and data science [MSC 2020]VANC026514MF62M20Inference from stochastic processes and prediction; filtering [MSC 2020]VANC033691MF62A01Foundations and philosophical topics in statistics [MSC 2020]VANC036753MFBayesian methodsKW:KData AssimilationKW:KGoodness-of-FitKW:KGraphical ModellingKW:KLinear modellingKW:KMSE-decompositionKW:KMultidimensionalityKW:KRisk analysisKW:KSampling from the posteriorKW:KCHChamVANL001889OijenMarcel vanVANV2035611016394Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-030-55897-0E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0248744BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 4577 08eMF4577 20220729 Bayesian compendium2377961UNICAMPANIA03075nam 2200613Ia 450 991043809400332120200520144314.01-283-61154-697866139239983-7908-2864-510.1007/978-3-7908-2864-1(CKB)2560000000091016(EBL)971714(OCoLC)809767427(SSID)ssj0000737207(PQKBManifestationID)11422584(PQKBTitleCode)TC0000737207(PQKBWorkID)10783730(PQKB)10394112(DE-He213)978-3-7908-2864-1(MiAaPQ)EBC971714(PPN)168331683(EXLCZ)99256000000009101620120809d2012 uy 0engur|n|---|||||txtccrEmergent phenomena in housing markets gentrification, housing search, polarization /Lidia Diappi, editor1st ed. 2013.Heidelberg ;New York Physica-Verlag20121 online resource (191 p.)Description based upon print version of record.3-7908-2914-5 3-7908-2863-7 Includes bibliographical references.Introduction -- Part I: Modeling the Spatial Behavior of Agents -- Part II: Empirical Investigations.The housing market, like every market, is the product of thousands of interacting buyers and sellers driven by different interests. But unlike other markets, the housing market is able to profoundly transform the socioeconomic structure and the image of a city. Very often, changes in urban space are the result of the imperceptible operation of a multitude of micro-transformations which act with such great energy and decisiveness that they can transform the ‘DNA’ of entire urban neighborhoods. These qualitative novelties, unpredictable and non-deducible on the basis of the previous properties, are defined emergences. Namely emergence means a ‘pattern formation’ characterized by a self-organizing process driven by non-linear dynamics. This book explores housing market emergence in light of three different phenomena: search for housing, social polarization, and gentrification. The book is divided into two parts. The first part presents contributions on modelling emergence of different phenomena, formalised in multi-agent systems. The second part gathers empirical research and analyses aimed at supporting the findings of the models.HousingMathematical modelsHousingPricesMathematical modelsHousing policyHousingMathematical models.HousingPricesMathematical models.Housing policy.332.722Diappi Lidia248295MiAaPQMiAaPQMiAaPQBOOK9910438094003321Emergent phenomena in housing markets4202028UNINA