LEADER 01901nam 2200397 n 450 001 996392091303316 005 20210707225827.0 035 $a(CKB)1000000000674778 035 $a(EEBO)2240903669 035 $a(UnM)ocm99891517e 035 $a(UnM)99891517 035 $a(EXLCZ)991000000000674778 100 $a19910619d1584 uy 101 0 $aeng 135 $aurbn#|||a|bb| 200 12$aA commentarie of M. Iohn Caluine vppon the Epistle to the Philippians$b[electronic resource] $ewherein is set out the necessitie and profite of affliction vnto the faithfull, the benefite of God his word, the fruits, of vnitie and humilitie, free iustification by faith in Iesus Christ without our owne merites, the assurance, ioy, and contented mindes of the godlie, and their perseueraunce in godlinesse vnto the end. With many other comfortable and profitable pointes of religion. Translated out of Latine by W.B 210 $aImprinted at London $c[by John Windet] for Nicolas Lyng, and are to be sold at the west dore of S. Paules Church$dAnno. 1584 215 $a[4], 95, [1] p 300 $aW.B. = William Becket. 300 $aA translation of part of: Commentarii in quatuor Pauli epistolas. 300 $aPrinter's name from STC. 300 $aPage number 95 is inverted. 300 $aRunning title reads: A commentarie of I. Caluine, vpon the Philippians. 300 $aReproduction of the original in the Henry E. Huntington Library and Art Gallery. 330 $aeebo-0018 608 $aTitle pages$zEngland$y16th century. 700 $aCalvin$b Jean$f1509-1564.$0154241 702 $aBecket$b William$factive 1584, 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bCu-RivES 906 $aBOOK 912 $a996392091303316 996 $aA commentarie of M. Iohn Caluine vppon the Epistle to the Philippians$92360120 997 $aUNISA LEADER 06017nam 22007095 450 001 9910299964703321 005 20250504233026.0 010 $a3-319-02084-6 024 7 $a10.1007/978-3-319-02084-6 035 $a(CKB)3710000000074712 035 $a(EBL)1592556 035 $a(OCoLC)871776275 035 $a(SSID)ssj0001067315 035 $a(PQKBManifestationID)11705945 035 $a(PQKBTitleCode)TC0001067315 035 $a(PQKBWorkID)11081101 035 $a(PQKB)11772924 035 $a(MiAaPQ)EBC1592556 035 $a(DE-He213)978-3-319-02084-6 035 $a(PPN)176105417 035 $a(EXLCZ)993710000000074712 100 $a20131122d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe Contribution of Young Researchers to Bayesian Statistics $eProceedings of BAYSM2013 /$fedited by Ettore Lanzarone, Francesca Ieva 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (195 p.) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v63 300 $aDescription based upon print version of record. 311 08$a3-319-02083-8 320 $aIncludes bibliographical references and index. 327 $aPreface; Contents; Part I Theoretical Bayes ; 1 A Nonparametric Model for Stationary Time Series; 1.1 Introduction; 1.2 The Model; 1.2.1 Illustrations; References; 2 Estimation of Optimally Combined-Biomarker Accuracy in the Absence of a Gold Standard Reference Test; 2.1 Introduction; 2.2 Methods; 2.3 Results; 2.4 Conclusions; References; 3 On Bayesian Transformation Selection:Problem Formulation and Preliminary Results; 3.1 Introduction; 3.2 Bayesian Formulation; 3.3 Results; 3.4 Conclusions; References; 4 A Simple Proof for the Multinomial Version of the Representation Theorem 327 $a4.1 Introduction4.2 De Finetti's Method for Multinomial Trials; References; 5 A Sequential Monte Carlo Framework for Adaptive Bayesian Model Discrimination Designs Using MutualInformation; 5.1 Introduction; 5.2 Notation; 5.3 Sequential Monte Carlo Incorporating Model Uncertainty; 5.4 Mutual Information for Model Discrimination; 5.5 Examples; 5.6 Conclusion; References; 6 Joint Parameter Estimation and Biomass Tracking in a Stochastic Predator-Prey System; 6.1 Introduction; 6.2 Method; 6.2.1 State-Space Model; 6.2.2 Rao-Blackwellized Particle Filter; 6.3 Experimental Results 327 $a6.3.1 Dataset Simulation6.3.2 Validation of the RBPF Algorithm; 6.4 Conclusions; References; 7 Adaptive Bayes Test for Monotonicity; 7.1 Introduction; 7.2 Theoretical Results; 7.3 Conclusion; References; 8 Bayesian Inference on Individual-Based Models by Controlling the Random Inputs; 8.1 Introduction; 8.2 Controlling Random Inputs; 8.3 Woodhoopoe Model; 8.4 Summary of the Talk; References; 9 Consistency of Bayesian Nonparametric Hidden Markov Models; 9.1 Introduction; 9.2 The Model; 9.3 Consistency; References; 10 Bayesian Methodology in the Stochastic Event Reconstruction Problems 327 $a10.1 Introduction10.2 Theoretical Preliminaries; 10.3 Methods and Results; References; Part II Computational Bayes ; 11 Efficient Fitting of Bayesian Regression Models with Spatio-Temporally Varying Coefficients; 11.1 Introduction; 11.2 A Spatio-Temporal Model; 11.2.1 Parameterisation, Marginalisation and Interweaving; 11.2.2 Model Specifications; 11.3 Results; 11.4 Summary; References; 12 PAWL-Forced Simulated Tempering; 12.1 A Parallel Adaptive Wang-Landau Algorithm; 12.2 Simulated Tempering; 12.3 Conclusion; References 327 $a13 Approximate Bayesian Computation for the Elimination of Nuisance Parameters13.1 Introduction; 13.2 The Elimination of Nuisance Parameters; 13.2.1 Examples; 13.3 Conclusions; References; 14 Reweighting Schemes Based on Particle Methods; 14.1 Introduction; 14.2 Particle Move-Reweighting Strategies; 14.3 Closing Remarks; References; 15 A Bayesian Nonparametric Framework to Inference on Totals of Finite Populations; 15.1 Introduction; 15.2 Inference on Planned Domains; 15.2.1 Posterior Point Estimates; 15.2.2 Full Posterior Inference; 15.3 Simulation Results; 15.4 Discussion; References 327 $a16 Parallel Slice Sampling 330 $aThe first Bayesian Young Statisticians Meeting, BAYSM 2013, has provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and post-docs dealing with Bayesian statistics to connect with the Bayesian community at large, exchange ideas, and network with scholars working in their field. The Workshop, which took place June 5th and 6th 2013 at CNR-IMATI, Milan, has promoted further research in all the fields where Bayesian statistics may be employed under the guidance of renowned plenary lecturers and senior discussants. A selection of the contributions to the meeting and the summary of one of the plenary lectures compose this volume. . 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v63 606 $aStatistics 606 $aStatistics 606 $aSocial sciences$xStatistical methods 606 $aStatistical Theory and Methods 606 $aStatistics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 615 0$aStatistics. 615 0$aStatistics. 615 0$aSocial sciences$xStatistical methods. 615 14$aStatistical Theory and Methods. 615 24$aStatistics. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 676 $a519.5 702 $aLanzarone$b Ettore$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIeva$b Francesca$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299964703321 996 $aThe Contribution of Young Researchers to Bayesian Statistics$92536877 997 $aUNINA