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 00844nam a2200265 i 4500 001 991001344939707536 005 20020502191049.0 008 000620s1982 it ||| | ita 020 $a8806544608 035 $ab1149928x-39ule_inst 035 $aPRUMB59244$9ExL 040 $aDip. SSSC$bita 082 0 $a842.914 100 1 $aGenet, Jean$d<1910-1986> $0193162 245 12$aI negri /$cJean Genet 260 $aTorino :$bEinaudi,$cc1982 300 $a78 p. ;$c18 cm. 490 0 $aCollezione di teatro ;$v258 650 4$aGenet, Jean$xOpere 907 $a.b1149928x$b01-03-17$c01-07-02 912 $a991001344939707536 945 $aLE021 C34BISB51$g1$i2021000042676$lle021$o-$pE0.00$q-$rl$so $t0$u0$v0$w0$x0$y.i11692467$z01-07-02 996 $aNegri$9136302 997 $aUNISALENTO 998 $ale021$b01-01-00$cm$da $e-$fita$git $h2$i1