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Understanding computational Bayesian statistics [[electronic resource] /] / William M. Bolstad
Understanding computational Bayesian statistics [[electronic resource] /] / William M. Bolstad
Autore Bolstad William M. <1943->
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2010
Descrizione fisica 1 online resource (334 p.)
Disciplina 519.5/42
519.542
Collana Wiley series in computational statistics
Soggetto topico Bayesian statistical decision theory - Data processing
Soggetto genere / forma Electronic books.
ISBN 1-118-20992-3
1-283-44603-0
9786613446039
0-470-56737-6
0-470-56734-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Bayesian statistics -- Monte Carlo sampling from the posterior -- Bayesian inference -- Bayesian statistics using conjugate priors -- Markov chains -- Markov chain Monte Carlo sampling from the posterior -- Statistical inference from a Markov chain Monte Carlo sample -- Logistic regression -- Poisson regression and proportional hazards model -- Gibbs sampling and hierarchical models -- Going forward with Markov chain Monte Carlo -- Appendix A: Using the included Minitab macros -- Appendix B: Using the included R functions.
Record Nr. UNINA-9910139717303321
Bolstad William M. <1943->  
Hoboken, N.J., : Wiley, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Understanding computational Bayesian statistics [[electronic resource] /] / William M. Bolstad
Understanding computational Bayesian statistics [[electronic resource] /] / William M. Bolstad
Autore Bolstad William M. <1943->
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2010
Descrizione fisica 1 online resource (334 p.)
Disciplina 519.5/42
519.542
Collana Wiley series in computational statistics
Soggetto topico Bayesian statistical decision theory - Data processing
ISBN 1-118-20992-3
1-283-44603-0
9786613446039
0-470-56737-6
0-470-56734-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Bayesian statistics -- Monte Carlo sampling from the posterior -- Bayesian inference -- Bayesian statistics using conjugate priors -- Markov chains -- Markov chain Monte Carlo sampling from the posterior -- Statistical inference from a Markov chain Monte Carlo sample -- Logistic regression -- Poisson regression and proportional hazards model -- Gibbs sampling and hierarchical models -- Going forward with Markov chain Monte Carlo -- Appendix A: Using the included Minitab macros -- Appendix B: Using the included R functions.
Record Nr. UNINA-9910830686603321
Bolstad William M. <1943->  
Hoboken, N.J., : Wiley, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Understanding computational Bayesian statistics [[electronic resource] /] / William M. Bolstad
Understanding computational Bayesian statistics [[electronic resource] /] / William M. Bolstad
Autore Bolstad William M. <1943->
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2010
Descrizione fisica 1 online resource (334 p.)
Disciplina 519.5/42
519.542
Collana Wiley series in computational statistics
Soggetto topico Bayesian statistical decision theory - Data processing
ISBN 1-118-20992-3
1-283-44603-0
9786613446039
0-470-56737-6
0-470-56734-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Bayesian statistics -- Monte Carlo sampling from the posterior -- Bayesian inference -- Bayesian statistics using conjugate priors -- Markov chains -- Markov chain Monte Carlo sampling from the posterior -- Statistical inference from a Markov chain Monte Carlo sample -- Logistic regression -- Poisson regression and proportional hazards model -- Gibbs sampling and hierarchical models -- Going forward with Markov chain Monte Carlo -- Appendix A: Using the included Minitab macros -- Appendix B: Using the included R functions.
Record Nr. UNINA-9910841069803321
Bolstad William M. <1943->  
Hoboken, N.J., : Wiley, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui