Ritratto di Brunero.Liseo@uniroma1.it

Le informazioni relative ai corsi, le dispense, gli orari e il materiale didattico per i corsi di 

 

- Statistica corso base ( Scienze Aziendali, canale E-M) 

- Probabilità e Processi Stocastici (FINASS)

 

sono disponibili al sito 

https://sites.google.com/a/uniroma1.it/brulis/insegnamenti

 

Info for the Statistics for stochastic processes are available at 

https://sites.google.com/a/uniroma1.it/brulis/insegnamenti

 

Links for classroom are given below 

 

Tuesdays 

https://uniroma1.zoom.us/j/84266359485?pwd=VFZFOE1EM1FZalN0NXVDMVAyL05NZz09

 

ID riunione: 842 6635 9485

Passcode: 935545

Un tocco su dispositivo mobile

+390200667245,,84266359485# Italia

+3902124128823,,84266359485# Italia

 

 

Fridays 

 

 

https://uniroma1.zoom.us/j/84575133741?pwd=T2Z1cVBYazRFb0RkWWR3cVFLbkY4UT09

 

ID riunione: 845 7513 3741

Passcode: 633577

Un tocco su dispositivo mobile

+390200667245,,84575133741# Italia

+3902124128823,,84575133741# Italia

 

 

 

 

giovedì ore 10.30-12.30

Insegnamento Codice Anno Corso - Frequentare
PROBABILITA' E PROCESSI STOCASTICI 1035428 2021/2022 Finanza e assicurazioni - Finance and insurance
STATISTICA CORSO BASE 1015450 2021/2022 Scienze aziendali
STATISTICS FOR STOCHASTIC PROCESSES 1056087 2020/2021 Data Science
PROBABILITA' E PROCESSI STOCASTICI 1035428 2020/2021 Finanza e assicurazioni - Finance and insurance
STATISTICA CORSO BASE 1015450 2020/2021 Scienze aziendali
STATISTICS FOR STOCHASTIC PROCESSES 1056087 2019/2020 Data Science
STOCHASTIC PROCESSES 10592624 2019/2020 Finanza e assicurazioni
PROBABILITA' E PROCESSI STOCASTICI 1035428 2019/2020 Finanza e assicurazioni
STATISTICA CORSO BASE 1015450 2019/2020 Scienze aziendali
PROBABILITA' AL COMPUTER AAF1870 2018/2019 Finanza e assicurazioni
STATISTICA CORSO BASE 1015450 2018/2019 Scienze aziendali
PROBABILITA' E PROCESSI STOCASTICI 1035428 2018/2019 Finanza e assicurazioni
STATISTICS FOR STOCHASTIC PROCESSES 1056087 2018/2019 Data Science
PROBABILITA' E PROCESSI STOCASTICI 1047548 2017/2018 Finanza e assicurazioni
PROBABILITY AND STOCHASTIC PROCESSES FOR DATA SCIENCE 1047219 2017/2018 Data Science
MODELLI STATISTICI PER L'ECONOMIA 1038117 2017/2018 Economia, finanza e diritto d'impresa
PROBABILITA' E PROCESSI STOCASTICI 1047548 2016/2017 Finanza e assicurazioni
STATISTICAL METHODS FOR OFFICIAL STATISTICS 1047211 2016/2017 Data Science
Titolo Rivista Anno
Bayesian latent class models for capture–recapture in the presence of missing data BIOMETRICAL JOURNAL 2020
A stochastic estimated version of the Italian dynamic General Equilibrium Model ECONOMIC MODELLING 2020
A unified framework for de-duplication and population size estimation (with Discussion) BAYESIAN ANALYSIS 2019
Reconstruction of dispersal patterns of hypervirulent meningococcal strains of serogroup C:cc11 by phylogenomic time trees JOURNAL OF CLINICAL MICROBIOLOGY 2019
Population size estimation from incomplete multisource lists: A Bayesian perspective on latent class modelling 2019
Bayesian estimate of population count with false captures: a latent class approach 2019
New methods for small area estimation with linkage uncertainty INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 2018
Emergenza abitativa e baracche a Roma tra le due guerre 2018
Prior distributions for objective Bayesian analysis BAYESIAN ANALYSIS 2018
Portfolio Diversification Strategy Via Tail-Dependence Clustering and ARMA-GARCH Vine Copula Approach AUSTRALIAN ECONOMIC PAPERS 2018
Generalized Bayesian Record Linkage and Regression with Exact Error Propagation 2018
Objective Bayesian analysis for the multivariate skew-t model STATISTICAL METHODS & APPLICATIONS 2018
Modelling preference data with the Wallenius distribution JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY 2018
A stochastic estimated version of the Italian dynamic General Equilibrium Model (IGEM) 2018
Bayesian Inference for a Finite Population Total Using Linked Data 2017
Multivariate Fay-Herriot Hierarchical Bayesian Estimation of Small Area means under Functional Measurement Error JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A, STATISTICS IN SOCIETY 2017
Approximate Bayesian inference in semiparametric copula models BAYESIAN ANALYSIS 2017
Approximate Bayesian methods for multivariate and conditional copulae 2017
Bayesian Nonparametric Methods for Record linkage 2016
Bayesian Regression Analysis with Linked and Duplicated Data 2016
Dipartimento
METODI E MODELLI PER L'ECONOMIA, IL TERRITORIO, LA FINANZA
SSD

SECS-S/01