Davide Di Cecco

Publications

Title Published on Year
Population Size Estimation by Repeated Identifications of Units. A Bayesian Semi-parametric Mixture Model Approach Studies in Theoretical and Applied Statistics 2023
Modeling linkage errors in species diversity estimates: an ABC approach Proceedings of the GRASPA 2023 Conference Palermo, 10-11 July 2023 2023
One-inflated Bayesian Mixtures for population size estimation Cladag 2023 Book of Abstract and Short Papers 2023
On the nature of one–inflation in microbial diversity studies IWSM 2023 Proceedings book 2023
Bayesian analysis of one-inflated models for elusive population size estimation BIOMETRICAL JOURNAL 2022
Bayesian analysis of one–inflated models for population size estimation ISI WSC 2021 Proceedings 2022
Analyzing different causes of one–inflation in capture recapture models for criminal populations. Sis 2022. 51st meeting of the Italian Statistical Society. Book of short papers 2022
Bayesian structural learning for Latent Class Model with an application to Record Linkage Sis 2022. 51st meeting of the Italian Statistical Society. Book of short papers 2022
Bayesian population size estimation by repeated identifications of units. A semi-parametric mixture model approach Book of Short Papers SIS 2021 2021
Bayesian one-inflated models for population size estimation JSM2021 Proceedings 2021
Bayesian latent class models for capture–recapture in the presence of missing data BIOMETRICAL JOURNAL 2020
Bayesian Model Averaging for Latent Class Models in Capture-Recapture Book of short Papers SIS 2020 2020
Estimating population size in multiple record systems with uncertainty of state identification 2019
Population size estimation from incomplete multisource lists: A Bayesian perspective on latent class modelling proceeding 62nd ISI World Statistic Congress 2019 Special Topic Session vol.4 2019
Bayesian estimate of population count with false captures: a latent class approach 2019
Population Size Estimation Using Multiple Incomplete Lists with Overcoverage JOURNAL OF OFFICIAL STATISTICS 2018
A latent class approach for allocation of employees to local units Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies 2015

ERC

  • PE1_14

Interessi di ricerca

Keywords

mixture models
capture-recapture models
latent class models

Progetti di Ricerca

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