01300cam2-2200385---450 99000302695020331620190429103030.088-14-12586-4000302695USA01000302695(ALEPH)000302695USA0100030269520071203d2007----km-y0itay50------baitaIT||||||||001yy<<3:>> Prefetti, diplomatici, vigili del fuoco, polizia penitenziariadi Ciro Silvestro, ...[et al.]a cura di Franco Carinci e Vito TenoreMilanoGiuffrécopyr. 2007XXXIII, 413 p.24 cm0010003026902001<<Il>> pubblico impiego non privatizzatoImpiego pubblicoLegislazione342.45068CARINCI,FranciTENORE,VitoITsalbcISBD990003026950203316XXIV.3.G 42/3 (IG V 1324/3)57513 g.IG V00065126BKGIUCHIARA9020071203USA011424CHIARA9020071203USA011424CHIARA9020071203USA011427RSIAV49020090611USA011604Prefetti, diplomatici, vigili del fuoco, polizia penitenziaria1433167UNISA05396nam 22006854a 450 991014504500332120170809153817.01-280-28770-597866102877030-470-09239-40-470-09238-6(CKB)1000000000239293(EBL)242953(OCoLC)475962262(SSID)ssj0000109309(PQKBManifestationID)11129594(PQKBTitleCode)TC0000109309(PQKBWorkID)10045545(PQKB)10889214(MiAaPQ)EBC242953(EXLCZ)99100000000023929320050222d2005 uy 0engur|n|---|||||txtccrBayesian models for categorical data[electronic resource] /Peter CongdonChichester ;New York Wileyc20051 online resource (448 p.)Wiley series in probability and statisticsDescription based upon print version of record.0-470-09237-8 Includes bibliographical references and index.Bayesian Models for Categorical Data; Contents; Preface; Chapter 1 Principles of Bayesian Inference; 1.1 Bayesian updating; 1.2 MCMC techniques; 1.3 The basis for MCMC; 1.4 MCMC sampling algorithms; 1.5 MCMC convergence; 1.6 Competing models; 1.7 Setting priors; 1.8 The normal linear model and generalized linear models; 1.9 Data augmentation; 1.10 Identifiability; 1.11 Robustness and sensitivity; 1.12 Chapter themes; References; Chapter 2 Model Comparison and Choice; 2.1 Introduction: formal methods, predictive methods and penalized deviance criteria; 2.2 Formal Bayes model choice2.3 Marginal likelihood and Bayes factor approximations2.4 Predictive model choice and checking; 2.5 Posterior predictive checks; 2.6 Out-of-sample cross-validation; 2.7 Penalized deviances from a Bayes perspective; 2.8 Multimodel perspectives via parallel sampling; 2.9 Model probability estimates from parallel sampling; 2.10 Worked example; References; Chapter 3 Regression for Metric Outcomes; 3.1 Introduction: priors for the linear regression model; 3.2 Regression model choice and averaging based on predictor selection; 3.3 Robust regression methods: models for outliers3.4 Robust regression methods: models for skewness and heteroscedasticity3.5 Robustness via discrete mixture models; 3.5.1 Complete data representation; 3.5.2 Identification issues; 3.5.3 Dirichlet process mixture models; 3.6 Non-linear regression effects via splines and other basis functions; 3.6.1 Penalized random effects for spline coefficients; 3.6.2 Basis function regression; 3.6.3 Special spline functions; 3.7 Dynamic linear models and their application in non-parametric regression; 3.7.1 Some common forms of DLM; 3.7.2 Robust errors; 3.7.3 General additive models3.7.4 Alternative smoothness priorsExercises; References; Chapter 4 Models for Binary and Count Outcomes; 4.1 Introduction: discrete model likelihoods vs. data augmentation; 4.1.1 Count data; 4.1.2 Binomial and binary data; 4.2 Estimation by data augmentation: the Albert-Chib method; 4.2.1 Other augmented data methods; 4.3 Model assessment: outlier detection and model checks; 4.3.1 Model assessment: predictive model selection and checks; 4.4 Predictor selection in binary and count regression; 4.5 Contingency tables4.6 Semi-parametric and general additive models for binomial and count responses4.6.1 Robust and adaptive non-parametric regression; 4.6.2 Other approaches to non-linearity; Exercises; References; Chapter 5 Further Questions in Binomial and Count Regression; 5.1 Generalizing the Poisson and binomial: overdispersion and robustness; 5.2 Continuous mixture models; 5.2.1 Modified exponential families; 5.3 Discrete mixtures; 5.4 Hurdle and zero-inflated models; 5.5 Modelling the link function; 5.5.1 Discrete (DPP mixture); 5.5.2 Parametric link transformations5.5.3 Beta mixture on cumulative densitiesThe use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive introduction to Bayesian methods of categorical outcomes.* Reviews recent Bayesian methodology for categorical outcomes (binary, count and multinomial data).* Considers missing daWiley series in probability and statistics.Bayesian statistical decision theoryMonte Carlo methodMarkov processesMultivariate analysisElectronic books.Bayesian statistical decision theory.Monte Carlo method.Markov processes.Multivariate analysis.519.542Congdon P145037MiAaPQMiAaPQMiAaPQBOOK9910145045003321Bayesian models for categorical data737826UNINA04390nam 2200685 450 991082825640332120230807201727.01-78284-240-31-78284-238-1(CKB)3710000000500128(EBL)4306786(SSID)ssj0001571285(PQKBManifestationID)16218146(PQKBTitleCode)TC0001571285(PQKBWorkID)14404339(PQKB)11256811(MiAaPQ)EBC4306786(Au-PeEL)EBL4306786(CaPaEBR)ebr11137850(CaONFJC)MIL848630(OCoLC)935255706(EXLCZ)99371000000050012820150721d2015 uy| 0engur|n|---|||||txtccrSpain's martyred cities from the Battle of Madrid to Picasso's Guernica : including the reconstructed text of Louis Delaprée's the martyrdom of Madrid /Martin MinchomBrighton :Sussex Academic Press,2015.1 online resource (329 p.)The canada blanch/sussex academic studiesDescription based upon print version of record.1-84519-660-0 Includes bibliographical references and index.Author's note -- PART I -- The news from Spain -- In insurgent and Republican territory -- PART II -- The Battle of Madrid -- Bombs over Madrid -- PART III -- Aftermath in "the industry of lies" -- Madrid, Durango, Gernika : three "martyred" cities and Picasso's Guernica -- Part IV -- Louis Delaprée : The Martyrdom of Madrid -- A note on the text of The Martyrdom of Madrid."Spain's Martyred Cities studies international reactions to the Spanish Civil War between the Battle of Madrid in November 1936 and the bombing of Guernica in April 1937. Many of the iconic events of the war belong to this key period, when international perceptions of the conflict were decisively shaped. The subject is approached through French and British newspapers and pamphlets, and events are linked to both their immediate press coverage and subsequent literary and artistic representations. For contemporaries, the aerial bombardments of Madrid, Guernica and other cities formed part of a single unbroken narrative. It was only later that Guernica acquired its perceived symbolic primacy. The language of 'martyrdom' was sometimes evoked in pro-Republican writing as a means of challenging Francoist claims to the religious and moral high ground. But the ur-text was The Martyrdom of Madrid (1937), a compilation of the posthumous, censored reports of the French correspondent Louis Delaprée on the bombing of Madrid. Delaprée's earliest reporting (July-October 1936) was from both the Nationalist and Republican zones, and is used to provide an introductory overview of the early stages of the war; he was an eyewitness of the aerial bombardments of Madrid in November 1936; subsequently, the posthumous publication of his writings created a major stir in Paris. Delaprée's powerful and emotive writing provides a platform from which to discuss issues of press censorship and journalistic practice"--Provided by publisher.Cañada Blanch/Sussex Academic studies on contemporary Spain.Cities and townsPolitical aspectsSpainHistory20th centuryMartyrdomPolitical aspectsSpainHistory20th centuryPublic opinionFranceHistory20th centuryPublic opinionGreat BritainHistory20th centurySpainHistoryCivil War, 1936-1939Public opinionMadrid (Spain)HistorySiege, 1936-1939Public opinionSpainHistoryCivil War, 1936-1939Press coverageSpainHistoryCivil War, 1936-1939Art and the warCities and townsPolitical aspectsHistoryMartyrdomPolitical aspectsHistoryPublic opinionHistoryPublic opinionHistory946.081HIS045000HIS027000bisacshMinchom Martin1692841MiAaPQMiAaPQMiAaPQBOOK9910828256403321Spain's martyred cities4070196UNINA