LEADER 01060nam0-2200349---450- 001 990004307590403321 005 20130606114045.0 010 $a951-41-0624-5 035 $a000430759 035 $aFED01000430759 035 $a(Aleph)000430759FED01 035 $a000430759 100 $a19990604d1991----km-y0itay50------ba 101 0 $ager 102 $aFI 105 $ay-------001yy 200 1 $a<>letzten Tage Jesu$eMarkus und Johannes, ihre Traditionen und die historische Frage$fMatti Myllykoski 210 $aHelsinki$cSuomalainen Tiedeakatemia$d1991- 215 $a2 v.$d25 cm 225 1 $aAnnales Academiae Scientiarum Fennicae. Ser.B$v256 327 0 $a1.: 1991.- 249 p. 610 0 $aGesł Cristo$aPassione e morte 610 0 $aBibbia$aNuovo testamento 676 $a232.96 700 1$aMyllykoski,$bMatti$0171183 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004307590403321 952 $a232.96 MYL 1 (1)$bBibl. 10014$fFLFBC 959 $aFLFBC 996 $aLetzten tage Jesu$9161592 997 $aUNINA LEADER 03647nam 2200745 450 001 9910466153603321 005 20180731212047.0 035 $a(CKB)3710000000598947 035 $a(EBL)4419809 035 $a(SSID)ssj0001623220 035 $a(PQKBManifestationID)16358804 035 $a(PQKBTitleCode)TC0001623220 035 $a(PQKBWorkID)14843277 035 $a(PQKB)11680863 035 $a(MiAaPQ)EBC4419809 035 $a(DLC) 2015047135 035 $a(EXLCZ)993710000000598947 100 $a20160318h20162016 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aLanguage periphery $emonocollocable words in English, Italian, German and Czech /$fcompiled and edited by Frantis?ek C?erma?k [and three others] 210 1$aAmsterdam, [Netherlands] ;$aPhiladelphia, [Philadelphia] :$cJohn Benjamins Publishing Company,$d2016. 210 4$d©2016 215 $a1 online resource (116 p.) 225 1 $aStudies in Corpus Linguistics (SCL),$x1388-0373 ;$vVolume 74 300 $aDescription based upon print version of record. 311 $a90-272-1071-3 311 $a90-272-6762-6 320 $aIncludes bibliographical references. 327 $a2. Identificazione delle PM3. Struttura delle voci nei dizionari; 4. Problemi della selezione manuale; 5. Limiti e uso; Monokollokabilita?t aus korpuslinguistischer Sicht; 1. Zum Begriff der Monokollokabilita?t; 2. Zur Bearbeitung der monokollokabilen Wo?rter und zur Struktur der Verzeichnisse; 3. Aufgefundene Strukturen; 4. Anregungen fu?r Forschung und lexikographische Umsetzung; 5. Ausblick; Monocollocable words in English; 1. Definition; 2. Corpus sample, its nature and limitations; 3. The format of the lists; 4. The English monocollocable lists; 5. Suggestions for further research 327 $aA frequency dictionary of Czech monocollocable wordsA frequency dictionary of Italian monocollocable words; A frequency dictionary of German monocollocable words; A frequency dictionary of English monocollocable words; An alphabetical dictionary of Czech Monocollocable Words; An alphabetical dictionary of Italian monocollocable words; An alphabetical dictionary of German monocollocable words; An alphabetical dictionary of English monocollocable words; References; Corpora 410 0$aStudies in corpus linguistics ;$vVolume 74. 606 $aSublanguage$xLexicography 606 $aLexicology$vDictionaries 606 $aItalian language$xLexicology$vDictionaries 606 $aGerman language$xLexicology$vDictionaries 606 $aCzech language$xLexicology$vDictionaries 606 $aEnglish language$xGrammar, Comparative 606 $aItalian language$xGrammar, Comparative 606 $aGerman language$xGrammar, Comparative 606 $aCzech language$xGrammar, Comparative 606 $aDictionaries, Polyglot 608 $aElectronic books. 615 0$aSublanguage$xLexicography. 615 0$aLexicology 615 0$aItalian language$xLexicology 615 0$aGerman language$xLexicology 615 0$aCzech language$xLexicology 615 0$aEnglish language$xGrammar, Comparative. 615 0$aItalian language$xGrammar, Comparative. 615 0$aGerman language$xGrammar, Comparative. 615 0$aCzech language$xGrammar, Comparative. 615 0$aDictionaries, Polyglot. 676 $a415/.9 702 $aC?erma?k$b Frantis?ek 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910466153603321 996 $aLanguage periphery$91918421 997 $aUNINA LEADER 05720oam 22010454 450 001 9910961807103321 005 20250426110533.0 010 $a9786612842955 010 $a9781462371921 010 $a1462371922 010 $a9781452712741 010 $a1452712743 010 $a9781451872217 010 $a1451872216 010 $a9781282842953 010 $a1282842951 035 $a(CKB)3170000000055239 035 $a(EBL)1608239 035 $a(SSID)ssj0000941859 035 $a(PQKBManifestationID)11614171 035 $a(PQKBTitleCode)TC0000941859 035 $a(PQKBWorkID)10971226 035 $a(PQKB)10055765 035 $a(OCoLC)608248516 035 $a(IMF)WPIEE2009074 035 $a(MiAaPQ)EBC1608239 035 $a(IMF)WPIEA2009074 035 $aWPIEA2009074 035 $a(EXLCZ)993170000000055239 100 $a20020129d2009 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLimited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods /$fAlin Mirestean, Charalambos Tsangarides, Huigang Chen 205 $a1st ed. 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2009. 215 $a1 online resource (45 p.) 225 1 $aIMF Working Papers 300 $aDescription based upon print version of record. 311 08$a9781451916560 311 08$a1451916566 320 $aIncludes bibliographical references. 327 $aContents; I. Introduction; II. Model Uncertainty in the Bayesian Context; A. Model Selection and Hypothesis Testing; B. Bayesian Model Averaging; C. Choice of Priors; III. Limited Information Bayesian Model Averaging; A. A Dynamic Panel Data Model with Endogenous Regressors; B. Estimation and Moment Conditions; C. The Limited Information Criterion; IV. Monte Carlo Simualtions and Results; A. The Data Generating Process; B. Simulation Results; V. Conclusion; References; Tables; 1. Posterior Probability of the True Model; 2. Posterior Probability Ratio of True Model/Best among the Other Models 327 $a3. Probability of Retrieving the True Model4. Model Recovery: Medians and Variances of Posterior Inclusi; 5. Model Recovery: Medians and Variances of Estimated Paramet; 6. Posterior Probability of the True Model (Non-Gaussian Case); 7. Posterior Probability Ratio: True Model/best among the Other Models (Non-Gaussian Case); 8. Probability of Retrieving the True Model (Non-Gaussian Case); 9. Model Recovery: Medians and Variances of Posterior Inclusion Probability for Each Variable (Non-Gaussian Case); 10. Model Recovery: Medians and Variances of Estimated Parameter Values (Non- Gaussian Case) 327 $aAppendix A Figures1. Posterior Densities for the Probabilities in Table 1; 2. Posterior Densities for the Probabilities in Table 2; 3. Box Plots for Parameters in Table 5; 4. Posterior Densities for the Probabilities in Table 6; 5. Posterior Densities for the Probabilities in Table 7; 6. Box Plots for Parameters in Table 10 330 3 $aBayesian Model Averaging (BMA) provides a coherent mechanism to address the problem of model uncertainty. In this paper we extend the BMA framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information Bayesian Model Averaging (LIBMA) methodology and then test it using simulated data. Simulation results suggest that asymptotically our methodology performs well both in Bayesian model selection and averaging. In particular, LIBMA recovers the data generating process very well, with high posterior inclusion probabilities for all the relevant regressors, and parameter estimates very close to the true values. These findings suggest that our methodology is well suited for inference in dynamic panel data models with short time periods in the presence of endogenous regressors under model uncertainty. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2009/074 606 $aPanel analysis 606 $aBayesian statistical decision theory 606 $aBayesian Analysis: General$2imf 606 $aBayesian inference$2imf 606 $aBayesian models$2imf 606 $aComputer Programs: General$2imf 606 $aData capture & analysis$2imf 606 $aData Collection and Data Estimation Methodology$2imf 606 $aData Processing$2imf 606 $aData processing$2imf 606 $aEconometric models$2imf 606 $aEconometrics & economic statistics$2imf 606 $aEconometrics$2imf 606 $aElectronic data processing$2imf 606 $aEstimation techniques$2imf 606 $aEstimation$2imf 615 0$aPanel analysis. 615 0$aBayesian statistical decision theory. 615 7$aBayesian Analysis: General 615 7$aBayesian inference 615 7$aBayesian models 615 7$aComputer Programs: General 615 7$aData capture & analysis 615 7$aData Collection and Data Estimation Methodology 615 7$aData Processing 615 7$aData processing 615 7$aEconometric models 615 7$aEconometrics & economic statistics 615 7$aEconometrics 615 7$aElectronic data processing 615 7$aEstimation techniques 615 7$aEstimation 676 $a332.152 700 $aMirestean$b Alin$01815699 701 $aChen$b Huigang$01815876 701 $aTsangarides$b Charalambos$01462110 801 0$bDcWaIMF 906 $aBOOK 912 $a9910961807103321 996 $aLimited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods$94371484 997 $aUNINA