Details about Alessio Farcomeni

Access statistics for papers by Alessio Farcomeni.

Last updated 2024-01-05. Update your information in the RePEc Author Service.

Short-id: pfa429

Working Papers

2023

1. On the output effect of fiscal consolidation plans: a causal analysis
   Working Paper series, Rimini Centre for Economic Analysis

2022

2. Information criteria for outlier detection avoiding arbitrary significance levels
   LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library View citations (4)
   See also Journal Article Information Criteria for Outlier Detection Avoiding Arbitrary Significance Levels, Econometrics and Statistics, Elsevier (2024) (2024)

2021

3. Institutions and Economic Development: New Measurements and Evidence
   CEIS Research Paper, Tor Vergata University, CEIS
   Also in Working Paper series, Rimini Centre for Economic Analysis (2021)
   See also Journal Article Institutions and economic development: new measurements and evidence, Empirical Economics, Springer (2023) View citations (4) (2023)

2018

4. Multidimensional Nation Wellbeing, More Equal yet More Polarized: An Analysis of the Progress of Human Development since 1990
   Working Papers, University of Toronto, Department of Economics View citations (2)
   See also Journal Article Multidimensional Nation Wellbeing, More Equal yet More Polarized: An Analysis of the Progress of Human Development Since 1990, Journal of Economic Development, Chung-Ang Unviersity, Department of Economics (2019) View citations (1) (2019)

2017

5. Rectangular latent Markov models for time-specific clustering
   Working Papers, University of Toronto, Department of Economics View citations (1)

2016

6. Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets
   MPRA Paper, University Library of Munich, Germany View citations (1)
   See also Journal Article Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, Journal of Statistical Software, Foundation for Open Access Statistics (2017) View citations (1) (2017)

2014

7. A new approach to measuring and studying the characteristics of class membership: The progress of poverty, inequality and polarization of income classes in urban China
   Working Papers, University of Toronto, Department of Economics View citations (3)

2012

8. Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates
   MPRA Paper, University Library of Munich, Germany View citations (4)
   See also Journal Article Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates, TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer (2014) View citations (31) (2014)

Journal Articles

2024

1. Information Criteria for Outlier Detection Avoiding Arbitrary Significance Levels
   Econometrics and Statistics, 2024, 29, (C), 189-205
   See also Working Paper Information criteria for outlier detection avoiding arbitrary significance levels, LSE Research Online Documents on Economics (2022) View citations (4) (2022)

2023

2. Continuous time‐interaction processes for population size estimation, with an application to drug dealing in Italy
   Biometrics, 2023, 79, (2), 1254-1267
3. Institutions and economic development: new measurements and evidence
   Empirical Economics, 2023, 65, (4), 1693-1728 View citations (4)
   See also Working Paper Institutions and Economic Development: New Measurements and Evidence, CEIS Research Paper (2021) (2021)

2022

4. A hidden Markov space–time model for mapping the dynamics of global access to food
   Journal of the Royal Statistical Society Series A, 2022, 185, (1), 246-266
5. Alessio Farcomeni and Marco Geraci's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
   Journal of the Royal Statistical Society Series A, 2022, 185, (4), 1829-1830
6. Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐19
   Environmetrics, 2022, 33, (8)

2021

7. A correction to make Chao estimator conservative when the number of sampling occasions is finite
   Statistics & Probability Letters, 2021, 176, (C)
8. Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models
   TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2021, 30, (2), 462-480 View citations (4)
9. Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections
   Computational Statistics & Data Analysis, 2021, 155, (C) View citations (2)

2020

10. Robust model-based clustering with mild and gross outliers
    TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2020, 29, (4), 989-1007 View citations (5)

2019

11. A dynamic inhomogeneous latent state model for measuring material deprivation
    Journal of the Royal Statistical Society Series A, 2019, 182, (2), 495-516 View citations (5)
12. Multidimensional Nation Wellbeing, More Equal yet More Polarized: An Analysis of the Progress of Human Development Since 1990
    Journal of Economic Development, 2019, 44, (1), 1-22 View citations (1)
    See also Working Paper Multidimensional Nation Wellbeing, More Equal yet More Polarized: An Analysis of the Progress of Human Development since 1990, Working Papers (2018) View citations (2) (2018)
13. Rectangular latent Markov models for time‐specific clustering, with an analysis of the wellbeing of nations
    Journal of the Royal Statistical Society Series C, 2019, 68, (3), 603-621 View citations (2)
14. Wild adaptive trimming for robust estimation and cluster analysis
    Scandinavian Journal of Statistics, 2019, 46, (1), 235-256 View citations (8)

2018

15. Fully general Chao and Zelterman estimators with application to a whale shark population
    Journal of the Royal Statistical Society Series C, 2018, 67, (1), 217-229 View citations (2)
16. Prognostic assessment of repeatedly measured time-dependent biomarkers, with application to dilated cardiomyopathy
    Statistical Methods & Applications, 2018, 27, (3), 545-557 View citations (1)
17. The power of (extended) monitoring in robust clustering
    Statistical Methods & Applications, 2018, 27, (4), 651-660 View citations (4)

2017

18. A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework
    Psychometrika, 2017, 82, (4), 952-978 View citations (2)
19. A fuzzy approach to robust regression clustering
    Advances in Data Analysis and Classification, 2017, 11, (4), 691-710 View citations (3)
20. Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets
    Journal of Statistical Software, 2017, 080, (i07) View citations (1)
    See also Working Paper Feature Selection with the R Package MXM: Discovering Statistically-Equivalent Feature Subsets, MPRA Paper (2016) View citations (1) (2016)

2016

21. A general class of recapture models based on the conditional capture probabilities
    Biometrics, 2016, 72, (1), 116-124 View citations (6)
22. A new approach to measuring and studying the characteristics of class membership: Examining poverty, inequality and polarization in urban China
    Journal of Econometrics, 2016, 191, (2), 348-359 View citations (14)
23. A plug-in approach to sparse and robust principal component analysis
    TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2016, 25, (3), 449-481 View citations (4)
24. Has the attitude of US citizens towards redistribution changed over time?
    Economic Modelling, 2016, 52, (PB), 714-724 View citations (5)
25. Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data
    Journal of the Royal Statistical Society Series C, 2016, 65, (1), 51-75 View citations (2)

2015

26. A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates
    Biometrics, 2015, 71, (1), 80-89 View citations (11)
27. Comments on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination
    TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2015, 24, (3), 467-470 View citations (1)
28. Generalized Linear Mixed Models Based on Latent Markov Heterogeneity Structures
    Scandinavian Journal of Statistics, 2015, 42, (4), 1127-1135 View citations (8)
29. Latent class recapture models with flexible behavioural response
    Statistica, 2015, 75, (1), 5-17
30. Linear quantile regression models for longitudinal experiments: an overview
    METRON, 2015, 73, (2), 229-247 View citations (16)
31. S-estimation of hidden Markov models
    Computational Statistics, 2015, 30, (1), 57-80 View citations (2)

2014

32. Chemotherapy or Targeted Therapy as Second-Line Treatment of Advanced Gastric Cancer. A Systematic Review and Meta-Analysis of Published Studies
    PLOS ONE, 2014, 9, (9), 1-7
33. Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates
    TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2014, 23, (3), 433-465 View citations (31)
    See also Working Paper Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates, MPRA Paper (2012) View citations (4) (2012)
34. Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates
    TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2014, 23, (3), 484-486 View citations (29)
35. Strong consistency and robustness of the Forward Search estimator of multivariate location and scatter
    Journal of Multivariate Analysis, 2014, 126, (C), 167-183 View citations (18)

2013

36. FDR Control with Pseudo‐Gatekeeping Based on a Possibly Data Driven Order of the Hypotheses
    Biometrics, 2013, 69, (3), 606-613 View citations (1)
37. Robust distances for outlier-free goodness-of-fit testing
    Computational Statistics & Data Analysis, 2013, 65, (C), 29-45 View citations (8)

2012

38. A Bayesian autoregressive three-state hidden Markov model for identifying switching monotonic regimes in Microarray time course data
    Statistical Applications in Genetics and Molecular Biology, 2012, 11, (4), 31 View citations (2)
39. Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data
    Computational Statistics & Data Analysis, 2012, 56, (12), 4067-4080 View citations (10)
40. Modelling work history patterns in the Italian labour market
    Statistical Methods & Applications, 2012, 21, (2), 227-247 View citations (3)

2011

41. A Three Component Latent Class Model for Robust Semiparametric Gene Discovery
    Statistical Applications in Genetics and Molecular Biology, 2011, 10, (1), 1-19 View citations (1)
42. A conservative estimator for the proportion of false nulls based on Dvoretzky, Kiefer and Wolfowitz inequality
    Statistics & Probability Letters, 2011, 81, (12), 1867-1870 View citations (1)
43. Error rates for multivariate outlier detection
    Computational Statistics & Data Analysis, 2011, 55, (1), 544-553 View citations (21)
44. Hidden Markov partition models
    Statistics & Probability Letters, 2011, 81, (12), 1766-1770 View citations (2)
45. Joint analysis of occurrence and time to stability after entrance into the Italian labour market: an approach based on a Bayesian cure model with structured stochastic search variable selection
    Journal of Applied Statistics, 2011, 38, (11), 2627-2646
46. Recapture models under equality constraints for the conditional capture probabilities
    Biometrika, 2011, 98, (1), 237-242 View citations (5)
47. k-FWER Control without p -value Adjustment, with Application to Detection of Genetic Determinants of Multiple Sclerosis in Italian Twins
    Biometrics, 2011, 67, (1), 174-181 View citations (3)

2010

48. A note on the mixture transition distribution and hidden Markov models
    Journal of Time Series Analysis, 2010, 31, (2), 132-138 View citations (6)
49. A two-component Weibull mixture to model early and late mortality in a Bayesian framework
    Computational Statistics & Data Analysis, 2010, 54, (2), 416-428 View citations (1)
50. Reference Bayesian methods for recapture models with heterogeneity
    TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2010, 19, (1), 187-208 View citations (4)

2009

51. A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure
    Journal of the American Statistical Association, 2009, 104, (486), 816-831 View citations (61)
52. An exact approach to sparse principal component analysis
    Computational Statistics, 2009, 24, (4), 583-604 View citations (2)
53. Generalized Augmentation to Control the False Discovery Exceedance in Multiple Testing
    Scandinavian Journal of Statistics, 2009, 36, (3), 501-517 View citations (5)
54. Robust Double Clustering: A Method Based on Alternating Concentration Steps
    Journal of Classification, 2009, 26, (1), 77-101 View citations (4)

2007

55. Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    Computational Statistics & Data Analysis, 2007, 51, (11), 5253-5265 View citations (1)
56. Some Results on the Control of the False Discovery Rate under Dependence
    Scandinavian Journal of Statistics, 2007, 34, (2), 275-297 View citations (17)

2006

57. More Powerful Control of the False Discovery Rate Under Dependence
    Statistical Methods & Applications, 2006, 15, (1), 43-73 View citations (3)
    Also in Statistical Methods & Applications, 2006, 15, (1), 43-73 (2006) View citations (3)

2003

58. Unified conditional frequentist and Bayesian testing: computations in practice and sample size determination
    Metron - International Journal of Statistics, 2003, LXI, (2), 243-266