LEADER 05082nam 2200673Ia 450 001 9910454561003321 005 20200520144314.0 010 $a1-280-77122-4 010 $a9786613681997 010 $a1-84855-309-9 035 $a(CKB)1000000000766423 035 $a(EBL)453251 035 $a(OCoLC)535128176 035 $a(SSID)ssj0000335048 035 $a(PQKBManifestationID)11273984 035 $a(PQKBTitleCode)TC0000335048 035 $a(PQKBWorkID)10272914 035 $a(PQKB)11363623 035 $a(MiAaPQ)EBC453251 035 $a(PPN)140059202 035 $a(Au-PeEL)EBL453251 035 $a(CaPaEBR)ebr10315757 035 $a(CaONFJC)MIL368199 035 $a(EXLCZ)991000000000766423 100 $a20090121d2008 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBayesian econometrics$b[electronic resource] /$fedited by Siddhartha Chib ... [et al.] 210 $aBingley, UK $cEmerald JAI$d2008 215 $a1 online resource (656 p.) 225 1 $aAdvances in econometrics,$x0731-9053 ;$vv. 23 300 $aDescription based upon print version of record. 311 $a1-84855-308-0 320 $aIncludes bibliographical references. 327 $aBayesian Econometrics; Copyright Page; Contents; List of Contributors; Part I: Introduction; Chapter 1. Bayesian Econometrics: An Introduction; 1. Introduction; 2. Microeconometric Modeling; 3. Time-Series Modeling; References; Chapter 2. Bayesian Econometrics: Past, Present, and Future; 1. Introduction; 2. The Past; 3. The Present State of Bayesian Econometrics; 4. The Future; Acknowledgments; References; Chapter 3. Bayesian Inference Using Adaptive Sampling; 1. Introduction; 2. Adaptive Sampling for Variable Selection in a Gaussian Linear Regression Model 327 $a3. Modeling Interventions in Time Series 4. Adaptive Sampling for Continuous Parameters; 5. Theory for Adaptive Sampling; 6. Adaptation for General Variable Selection Problems; Acknowledgment; References; Part II: Microeconometric Modeling; Chapter 4. A Bayesian Analysis of the Op es Model with a Nonparametric Component: An Application to Dental Insurance and Dental Care; Chapter 5. Fitting and Comparison of Models for Multivariate Ordinal Outcomes; 1. Introduction; 2. Background and Literature Review; 3. Econometric Framework; 4. Application; 5. Conclusion; References; 1. Introduction 327 $a2. Ordinal Data Models for Univariate Outcomes 3. Multivariate Ordinal Outcomes; 4. Model Comparison; 5. Additional Considerations; 6. Applications; 7. Conclusion; Acknowledgment; References; Chapter 6. Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach; 1. Introduction; 2. The Model, Posterior Simulator and Posterior Predictives; 3. The Data; 4. Empirical Results; 5. Conclusion; Notes; Acknowledgment; References; Chapter 7. Causal Effects from Panel Data in Randomized Experiments with Partial Compliance; 1. Introduction; 2. Data; 3. Bayesian Modeling 327 $a4. Prior-Posterior Analysis 5. Analysis of Treatment Effects; 6. Conclusion; References; Appendix. MCMC Algorithms in Detail; Chapter 8. Parametric and Nonparametric Inference in Equilibrium Job Search Models; 1. Introduction; 2. The Basic Equilibrium Search Model; 3. Parametric Extensions of the Equilibrium Search Model; 4. Nonparametric Extensions of the Equilibrium Search Model; 5. Empirical Results; 6. Conclusions; Notes; References; Appendix. Bayesian Inference and Computation; Chapter 9. Do Subsidies Drive Productivity? A Cross-Country Analysis of Nordic Dairy Farms 327 $a1. Introduction and Motivation 2. Modeling Subsidies in Production; 3. Data; 4. Empirical Results; 5. Conclusion; Notes; References; Chapter 10. Semiparametric Bayesian Estimation of Random Coefficients Discrete Choice Models; 1. Introduction; 2. Mixture of Dependent Dirichlet Process Models; 3. Dependent Dirichlet Process Priors in Discrete Choice Models with Individual-Level Data; 4. Dependent Dirichlet Process Priors in Discrete Choice Models with Aggregate Data Andsolor Endogeneity; 5. Empirical Applications; 6. Conclusion; Note; References 327 $aChapter 11. Bayesian Two-Stage Regression with Parametric Heteroscedasticity 330 $aIllustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. This work presents an historical overview that describes key contributions to development and makes predicti 410 0$aAdvances in econometrics ;$vv. 23. 606 $aBayesian statistical decision theory 606 $aEconometrics 608 $aElectronic books. 615 0$aBayesian statistical decision theory. 615 0$aEconometrics. 676 $a330.01519542 701 $aChib$b Siddharta$0296237 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910454561003321 996 $aBayesian econometrics$92112417 997 $aUNINA LEADER 02957nam 2200733 a 450 001 9910964994603321 005 20251116182142.0 010 $a9783110295405 010 $a3110295407 010 $a9783110295399 010 $a3110295393 024 7 $a10.1515/9783110295399 035 $a(CKB)2550000001096976 035 $a(OCoLC)834577894 035 $a(CaPaEBR)ebrary10662043 035 $a(SSID)ssj0000873470 035 $a(PQKBManifestationID)11435837 035 $a(PQKBTitleCode)TC0000873470 035 $a(PQKBWorkID)10877688 035 $a(PQKB)11493436 035 $a(MiAaPQ)EBC976721 035 $a(DE-B1597)178548 035 $a(OCoLC)853261762 035 $a(DE-B1597)9783110295399 035 $a(Au-PeEL)EBL976721 035 $a(CaPaEBR)ebr10662043 035 $a(CaONFJC)MIL503510 035 $a(OCoLC)829462123 035 $a(Perlego)403694 035 $a(MiAaPQ)EBC4002032 035 $a(Au-PeEL)EBL4002032 035 $a(EXLCZ)992550000001096976 100 $a20130308d2013 uy 0 101 0 $ager 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aExtra-grammatical morphology in English $eabbreviations, blends, reduplicatives, and related phenomena /$fby Elisa Mattiello 205 $a1st ed. 210 $aBerlin $cDe Gruyter Mouton$d2013 215 $a1 online resource (350 p.) 225 0 $aTopics in English Linguistics [TiEL] ;$v82 225 0$aTopics in English linguistics,$x1434-3452 ;$v82 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783110293869 311 08$a3110293862 311 08$a9781299722590 311 08$a1299722598 320 $aIncludes bibliographical references and indexes. 327 $t Frontmatter -- $tPreface -- $tContents -- $tChapter 1 Introduction -- $tChapter 2 The theoretical framework -- $tChapter 3 Abbreviations -- $tChapter 4 Blends -- $tChapter 5 Reduplicatives -- $tChapter 6 Minor phenomena -- $tChapter 7 Extra-grammatical formations in use -- $tChapter 8 Conclusions -- $tNotes -- $tReferences -- $tLexical index -- $tSubject index 330 $aExtra-grammatical morphology is a hitherto neglected area of research, highly marginalised because of its irregularity and unpredictability. Yet many neologisms in English are formed by means of extra-grammatical mechanisms, such as abbreviation, blending and reduplication, which therefore deserve both greater attention and more systematic study. This book analyses such phenomena. 410 0$aTopics in English Linguistics [TiEL] 606 $aGrammar, Comparative and general 615 0$aGrammar, Comparative and general. 676 $a425.92 700 $aMattiello$b Elisa$01609327 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910964994603321 996 $aExtra-grammatical morphology in English$94463235 997 $aUNINA