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1. |
Record Nr. |
UNINA9910479920103321 |
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Titolo |
Spain in the nineteenth century : new essays on experiences of culture and society / / edited by Andrew Ginger, Geraldine Lawless [[electronic resource]] |
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Pubbl/distr/stampa |
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Manchester : , : Manchester University Press, , 2020 |
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ISBN |
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1-5261-3886-7 |
1-5261-2475-0 |
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Descrizione fisica |
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1 online resource (ix, 274 pages, 8 pages of plates) : illustrations |
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Collana |
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Interventions. Rethinking the nineteenth century |
Manchester scholarship online |
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Disciplina |
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Soggetti |
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Spain Social conditions 19th century |
Spain Intellectual life 19th century |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Previously issued in print: 2018. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction: Andrew Ginger and Geraldine Lawless -- 1 How (not) to make a durable state / Natalia Sobrevilla Perea -- 2 How to be universal / Andrew Ginger -- 3 How to tell time / Geraldine Lawless -- 4 How to be religious under liberalism / Gregorio Alonso -- 5 How to prescribe a cure for the ills of art / Oscar Vázquez -- 6 How to know about right and wrong / Alison Sinclair -- 7 How to be a man / Collin McKinney -- 8 How to be a writer for the press - and how to write about it / Rhian Davies -- 9 How to be a cultural entrepreneur / Henriette Partzsch -- 10 How to be a man of letters / Raquel Sánchez -- 11 How to be an intellectual / Luis G. Martínez del Campo -- 12 How to live a colonial soldier’s life / Catherine Davies -- Index |
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Sommario/riassunto |
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Confronted by a complex new society, nineteenth-century Spaniards wrestled with how to envisage their lives. From trying to be universal through to acting as a cultural entrepreneur, this volume explores the possibilities and uncertainties that unfolded in their reconfigured world. |
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2. |
Record Nr. |
UNINA9910139959903321 |
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Autore |
Jackman Simon <1966-> |
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Titolo |
Bayesian analysis for the social sciences [[electronic resource] /] / Simon Jackman |
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Pubbl/distr/stampa |
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Hoboken, NJ, : Wiley, 2009 |
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ISBN |
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1-282-35479-5 |
9786612354793 |
0-470-68662-6 |
0-470-68663-4 |
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Descrizione fisica |
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1 online resource (609 p.) |
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Collana |
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Wiley series in probability and statistics. ; ; v.846 |
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Disciplina |
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Soggetti |
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Social sciences - Statistical methods |
Bayesian statistical decision theory |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Bayesian Analysis for the Social Sciences; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Introduction; Part I Introducing Bayesian Analysis; 1 The foundations of Bayesian inference; 1.1 What is probability?; 1.1.1 Probability in classical statistics; 1.1.2 Subjective probability; 1.2 Subjective probability in Bayesian statistics; 1.3 Bayes theorem, discrete case; 1.4 Bayes theorem, continuous parameter; 1.4.1 Conjugate priors; 1.4.2 Bayesian updating with irregular priors; 1.4.3 Cromwell's Rule; 1.4.4 Bayesian updating as information accumulation |
1.5 Parameters as random variables, beliefs as distributions1.6 Communicating the results of a Bayesian analysis; 1.6.1 Bayesian point estimation; 1.6.2 Credible regions; 1.7 Asymptotic properties of posterior distributions; 1.8 Bayesian hypothesis testing; 1.8.1 Model choice; 1.8.2 Bayes factors; 1.9 From subjective beliefs to parameters and models; 1.9.1 Exchangeability; 1.9.2 Implications and extensions of de Finetti's Representation Theorem; 1.9.3 Finite exchangeability; 1.9.4 Exchangeability and prediction; 1.9.5 Conditional exchangeability |
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and multiparameter models |
1.9.6 Exchangeability of parameters: hierarchical modeling1.10 Historical note; 2 Getting started: Bayesian analysis for simple models; 2.1 Learning about probabilities, rates and proportions; 2.1.1 Conjugate priors for probabilities, rates and proportions; 2.1.2 Bayes estimates as weighted averages of priors and data; 2.1.3 Parameterizations and priors; 2.1.4 The variance of the posterior density; 2.2 Associations between binary variables; 2.3 Learning from counts; 2.3.1 Predictive inference with count data; 2.4 Learning about a normal mean and variance; 2.4.1 Variance known |
2.4.2 Mean and variance unknown2.4.3 Conditionally conjugate prior; 2.4.4 An improper, reference prior; 2.4.5 Conflict between likelihood and prior; 2.4.6 Non-conjugate priors; 2.5 Regression models; 2.5.1 Bayesian regression analysis; 2.5.2 Likelihood function; 2.5.3 Conjugate prior; 2.5.4 Improper, reference prior; 2.6 Further reading; Part II Simulation Based Bayesian Analysis; 3 Monte Carlo methods; 3.1 Simulation consistency; 3.2 Inference for functions of parameters; 3.3 Marginalization via Monte Carlo integration; 3.4 Sampling algorithms; 3.4.1 Inverse-CDF method |
3.4.2 Importance sampling3.4.3 Accept-reject sampling; 3.4.4 Adaptive rejection sampling; 3.5 Further reading; 4 Markov chains; 4.1 Notation and definitions; 4.1.1 State space; 4.1.2 Transition kernel; 4.2 Properties of Markov chains; 4.2.1 Existence of a stationary distribution, discrete case; 4.2.2 Existence of a stationary distribution, continuous case; 4.2.3 Irreducibility; 4.2.4 Recurrence; 4.2.5 Invariant measure; 4.2.6 Reversibility; 4.2.7 Aperiodicity; 4.3 Convergence of Markov chains; 4.3.1 Speed of convergence; 4.4 Limit theorems for Markov chains; 4.4.1 Simulation inefficiency |
4.4.2 Central limit theorems for Markov chains |
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Sommario/riassunto |
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Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using W |
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3. |
Record Nr. |
UNISALENTO991000396089707536 |
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Autore |
Pederzoli, Vittorio |
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Titolo |
Approcci teorici sulla determinazione dei tassi di interesse / Vittorio Pederzoli |
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Pubbl/distr/stampa |
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Torino : Giappichelli, [1989] |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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