LEADER 02340cam a2200277 i 4500 001 991003600339707536 008 180911s2016 nyua b 001 0 eng d 020 $a9781107149892 035 $ab14358153-39ule_inst 040 $aBibl. Dip.le Aggr. Ingegneria Innovazione - Sez. Ingegneria Innovazione$beng 082 00$a519.5$223 100 1 $aEfron, Bradley$027605 245 10$aComputer age statistical inference :$balgorithms, evidence, and data science /$cBradley Efron, Trevor Hastie 264 1$aNew York, NY :$bCambridge University Press,$cc2016 300 $axix, 475 p. :$bill. (some color) ;$c24 cm 490 1 $aInstitute of Mathematical Statistics monographs ;$v5 504 $aIncludes bibliographical references and indexes 505 0 $aPart I. Classic Statistical Inference: -- 1. Algorithms and inference -- 2. Frequentist inference -- 3. Bayesian inference -- 4. Fisherian inference and maximum likelihood estimation -- 5. Parametric models and exponential families -- Part II. Early Computer-Age Methods: -- 6. Empirical Bayes -- 7. James–Stein estimation and ridge regression -- 8. Generalized linear models and regression trees -- 9. Survival analysis and the EM algorithm -- 10. The jackknife and the bootstrap -- 11. Bootstrap confidence intervals -- 12. Cross-validation and Cp estimates of prediction error --13. Objective Bayes inference and Markov chain Monte Carlo --14. Statistical inference and methodology in the postwar era -- Part III. Twenty-First Century Topics: -- 15. Large-scale hypothesis testing and false discovery rates -- 16. Sparse modeling and the lasso -- 17. Random forests and boosting -- 18. Neural networks and deep learning -- 19. Support-vector machines and kernel methods -- 20. Inference after model selection -- 21. Empirical Bayes estimation strategies -- Epilogue 650 0$aMathematical statistics$xData processing 700 1 $aHastie, Trevor$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0102218 907 $a.b14358153$b30-01-19$c30-01-19 912 $a991003600339707536 945 $aLE026 519.5 EFR 01.01 2016$g1$i2026000073446$lle026$nProf. Bandiera / Biblioteca$op$pE57.50$q-$rl$s- $t4$u2$v0$w2$x0$y.i15874849$z30-01-19 996 $aComputer age statistical inference$91749552 997 $aUNISALENTO 998 $ale026$b11-09-18$cm$da $e $feng$gnyu$h0$i0 LEADER 01753nam0 22003493i 450 001 UAN0180754 005 20251003044417.0 010 $a9788868033064 100 $a20250113d2022 ||||0itac50 ba 101 | $aita$cita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 183 1$6z01$anc$2RDAcarrier 200 1 $aElementi di matematica delle assicurazioni$fErmanno Pitacco 210 $aTrieste$cLuglio editore$d2022 215 $aIII, 407$d24 cm 300 $aIn copertina: nuova edizione 500 10$aElementi di matematica delle assicurazioni.$3TSA1789230$9CFIV026489$9507467 606 $aMatematica attuariale$2FIR$3CFIC005523$9E 676 $a368.01$9ASSICURAZIONE. PRINCIPI GENERALI$v23 696 $aCalcolo attuariale 699 $aMatematica attuariale$yCalcolo attuariale 700 1$aPitacco$b, Ermanno$3CFIV026489$4070$068761 801 3$aIT$bIT-000000$c20250113 850 $aIT-BN0095 901 $bNAP 01$cBCA $nComprende monografie e periodici di diritto, testi di ingegneria, di scienze e tecnologia di nuova acquisizione. 912 $aUAN0180754 950 0$aBiblioteca Centralizzata di Ateneo$b1 v. (3. copia)$c1 v. in tre copie$d 01BCA SC. TECNOL 159$e 01 0000139925 VMA 1 v.$fB $h20250624$i20250625$b1 v. (3. copia)$c1 v. in tre copie$d 01BCA SC. TECNOL 159$e 01 0000139935 VMA (bis 1 v. (2. copia)$fY $h20250624$i20250625$b1 v. (3. copia)$c1 v. in tre copie$d 01BCA SC. TECNOL 159$e 01 0000139945 VMA (ter 1 v. (3. copia)$fY $h20250625$i20250625 977 $a 01 996 $aElementi di matematica delle assicurazioni$9507467 997 $aUNISANNIO