Francesco Bartolucci : Citation Profile


Are you Francesco Bartolucci?

Università degli Studi di Perugia

12

H index

18

i10 index

477

Citations

RESEARCH PRODUCTION:

77

Articles

38

Papers

RESEARCH ACTIVITY:

   26 years (1998 - 2024). See details.
   Cites by year: 18
   Journals where Francesco Bartolucci has often published
   Relations with other researchers
   Recent citing documents: 31.    Total self citations: 70 (12.8 %)

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   Permalink: http://citec.repec.org/pba960
   Updated: 2024-12-03    RAS profile: 2024-03-24    
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Relations with other researchers


Works with:

Valentini, Francesco (7)

Pigini, Claudia (5)

Pennoni, Fulvia (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Francesco Bartolucci.

Is cited by:

Farcomeni, Alessio (40)

Zelli, Roberto (20)

Pittau, Maria Grazia (19)

Peracchi, Franco (16)

Li Donni, Paolo (16)

Pieroni, Luca (9)

Pigini, Claudia (7)

Maury, Tristan-Pierre (6)

Lucchetti, Riccardo (Jack) (6)

Bertocchi, Graziella (6)

Jappelli, Tullio (6)

Cites to:

Farcomeni, Alessio (28)

Pennoni, Fulvia (28)

Heckman, James (28)

Nigro, Valentina (25)

Hahn, Jinyong (19)

Pigini, Claudia (18)

Bacci, Silvia (15)

Kyriazidou, Aikaterini (13)

Newey, Whitney (11)

Heiss, Florian (11)

Carro, Jesus (10)

Main data


Where Francesco Bartolucci has published?


Journals with more than one article published# docs
Computational Statistics & Data Analysis11
Psychometrika7
Journal of the American Statistical Association5
Advances in Data Analysis and Classification3
Biometrics3
Biometrika3
Journal of the Royal Statistical Society Series A3
Econometric Reviews3
Journal of Educational and Behavioral Statistics3
Journal of Econometrics2
Journal of Classification2
Econometrics and Statistics2
Statistics & Probability Letters2
Journal of the Royal Statistical Society Series C2
Computational Statistics2
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research2
Computational Economics2
Statistical Methods & Applications2
Journal of the Association for Information Science & Technology2

Working Papers Series with more than one paper published# docs
MPRA Paper / University Library of Munich, Germany25
Working Papers / Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali3
EIEF Working Papers Series / Einaudi Institute for Economics and Finance (EIEF)3
CEIS Research Paper / Tor Vergata University, CEIS2

Recent works citing Francesco Bartolucci (2024 and 2023)


YearTitle of citing document
2023Circulation of a digital community currency. (2022). Takes, Frank W ; Criscione, Teodoro. In: Papers. RePEc:arx:papers:2207.08941.

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2023Specification testing with grouped fixed effects. (2023). Valentini, Francesco ; Pionati, Alessandro ; Pigini, Claudia. In: Papers. RePEc:arx:papers:2310.01950.

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2023.

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2023Estimating random effects in a finite Markov chain with absorbing states: Application to cognitive data. (2023). Jicha, Gregory A ; Schmitt, Frederick A ; Fardo, David W ; Liu, Changrui ; Abner, Erin L ; Wang, Pei ; Kryscio, Richard J ; van Eldik, Linda J. In: Statistica Neerlandica. RePEc:bla:stanee:v:77:y:2023:i:3:p:304-321.

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2023The dimension-wise quadrature estimation of dynamic latent variable models for count data. (2023). Cagnone, Silvia ; Bianconcini, Silvia. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:177:y:2023:i:c:s0167947322001657.

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2023Bettors’ reaction to match dynamics: Evidence from in-game betting. (2023). Langrock, Roland ; Otting, Marius ; Michels, Rouven. In: European Journal of Operational Research. RePEc:eee:ejores:v:310:y:2023:i:3:p:1118-1127.

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2024Understanding crypto-asset exposure: An investigation of its impact on performance and stock sensitivity among listed companies. (2024). Kara, Marta ; Soski, Tomasz ; Mercik, Aleksander. In: International Review of Financial Analysis. RePEc:eee:finana:v:92:y:2024:i:c:s1057521924000024.

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2023Revisiting Okuns law in South Korea: Asymmetries, crises, and structural changes. (2023). Woo, Jaejoon. In: The Journal of Economic Asymmetries. RePEc:eee:joecas:v:27:y:2023:i:c:s170349492300004x.

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2023Economic growth and deviations from the equilibrium exchange rate. (2023). Sosvilla-Rivero, Simon ; del Carmen, Maria. In: International Review of Economics & Finance. RePEc:eee:reveco:v:86:y:2023:i:c:p:764-786.

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2024The foreign investments-growth nexus in underdeveloped countries: the state-of-art of research analysing a selected and recent empirical literature (2020-2022). (2024). Scalamonti, Francesco. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523006182.

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2023A two-step estimator for multilevel latent class analysis with covariates. (2023). Kuha, Jouni ; Oser, Jennifer ; Bakk, Zsuzsa ; di Mari, Roberto. In: LSE Research Online Documents on Economics. RePEc:ehl:lserod:119994.

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2023Sustainable Employment in Developing and Emerging Countries: Testing Augmented Okun’s Law in Light of Institutional Quality. (2023). Raies, Asma. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:4:p:3088-:d:1061784.

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2023Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform. (2023). Ghose, Anindya ; Cohen, Maxime C ; Fernandez-Loria, Carlos. In: Information Systems Research. RePEc:inm:orisre:v:34:y:2023:i:2:p:698-720.

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2023Single-Sourcing vs. Multisourcing: An Empirical Analysis of Large Information Technology Outsourcing Arrangements. (2023). Gupta, Alok ; Bapna, Ravi ; Singh, Shweta ; Ray, Gautam. In: Information Systems Research. RePEc:inm:orisre:v:34:y:2023:i:3:p:1109-1130.

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2023A sectoral specification of Okun’s law in oil-producing countries: evidence from panel ARDL model. (2023). Khalid, Norlin ; Faizah, Fathin ; Sarmidi, Tamat ; Kraim, Mahmoud. In: Economic Change and Restructuring. RePEc:kap:ecopln:v:56:y:2023:i:4:d:10.1007_s10644-023-09518-4.

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2023Navigating the complexities of financial services marketing through a bibliometric analysis of the Journal of Financial Services Marketing (2009–2022). (2023). Onyia, Okey Peter ; Bhaskar, Ratikant ; Ananda, S ; Pandey, Dharen Kumar. In: Journal of Financial Services Marketing. RePEc:pal:jofsma:v:28:y:2023:i:4:d:10.1057_s41264-023-00239-3.

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2023A synthetic likelihood approach for intractable markov random fields. (2023). Fan, Yanan ; Zhu, Wanchuang. In: Computational Statistics. RePEc:spr:compst:v:38:y:2023:i:2:d:10.1007_s00180-022-01256-x.

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2023Institutions and economic development: new measurements and evidence. (2023). Trovato, Giovanni ; Farcomeni, Alessio ; Carbonari, Lorenzo ; Acquah, Esther. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:4:d:10.1007_s00181-023-02395-w.

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2023Computing Finite Mixture Estimators in the Tails. (2023). Furno, Marilena. In: Journal of Classification. RePEc:spr:jclass:v:40:y:2023:i:2:d:10.1007_s00357-023-09433-3.

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2023Intergenerational mobility measurement with latent transition matrices. (2023). Tullio, Federico ; Bavaro, Michele. In: The Journal of Economic Inequality. RePEc:spr:joecin:v:21:y:2023:i:1:d:10.1007_s10888-022-09554-6.

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2023A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models. (2023). Sijtsma, Klaas ; Ellis, Jules L. In: Psychometrika. RePEc:spr:psycho:v:88:y:2023:i:2:d:10.1007_s11336-023-09905-w.

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2023A Perception-Augmented Hidden Markov Model for Parent–Child Relations in Families of Youth with Type 1 Diabetes. (2023). Chen, Zhen ; Nansel, Tonja R ; Lu, Ruijin. In: Statistics in Biosciences. RePEc:spr:stabio:v:15:y:2023:i:1:d:10.1007_s12561-022-09360-8.

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2023Seemingly unrelated clusterwise linear regression for contaminated data. (2023). Soffritti, Gabriele ; Perrone, Gabriele. In: Statistical Papers. RePEc:spr:stpapr:v:64:y:2023:i:3:d:10.1007_s00362-022-01344-6.

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2023.

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Works by Francesco Bartolucci:


YearTitleTypeCited
2017A mixture growth model for migrants remittances: An application to the German Socio-Economic Panel In: Mo.Fi.R. Working Papers.
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paper0
2015A Misspecification Test for Finite-Mixture Logistic Models for Clustered Binary and Ordered Responses In: Working Papers.
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paper1
2015A misspecification test for finite-mixture logistic models for clustered binary and ordered responses.(2015) In: MPRA Paper.
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This paper has nother version. Agregated cites: 1
paper
2017Granger causality in dynamic binary short panel data models In: Working Papers.
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2017Granger causality in dynamic binary short panel data models.(2017) In: MPRA Paper.
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This paper has nother version. Agregated cites: 0
paper
2018Partial effects estimation for fixed-effects logit panel data models In: Working Papers.
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paper1
2019Partial effects estimation for fixed-effects logit panel data models.(2019) In: MPRA Paper.
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This paper has nother version. Agregated cites: 1
paper
2006A Class of Latent Marginal Models for CaptureRecapture Data With Continuous Covariates In: Journal of the American Statistical Association.
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article17
2009A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure In: Journal of the American Statistical Association.
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article44
2011Modeling Partial Compliance Through Copulas in a Principal Stratification Framework In: Journal of the American Statistical Association.
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article7
2001Positive Quadrant Dependence and Marginal Modeling in Two-Way Tables With Ordered Margins In: Journal of the American Statistical Association.
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article15
2002Extended RC Association Models Allowing for Order Restrictions and Marginal Modeling In: Journal of the American Statistical Association.
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article11
2001Analysis of Capture-Recapture Data with a Rasch-Type Model Allowing for Conditional Dependence and Multidimensionality In: Biometrics.
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article6
2007A Class of Latent Markov Models for Capture–Recapture Data Allowing for Time, Heterogeneity, and Behavior Effects In: Biometrics.
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article3
2015A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates In: Biometrics.
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article9
2022Exploring the dependencies among main cryptocurrency log‐returns: A hidden Markov model In: Economic Notes.
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article2
2020Exploring the dependencies among main cryptocurrency log-returns: A hidden Markov model.(2020) In: MPRA Paper.
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2012On a possible decomposition of the h-index In: Journal of the Association for Information Science & Technology.
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article0
2015A comparison between the g-index and the h-index based on concentration In: Journal of the Association for Information Science & Technology.
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article2
2007A latent Markov model for detecting patterns of criminal activity In: Journal of the Royal Statistical Society Series A.
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article11
2015Ranking scientific journals via latent class models for polytomous item response data In: Journal of the Royal Statistical Society Series A.
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article4
2022A hidden Markov space–time model for mapping the dynamics of global access to food In: Journal of the Royal Statistical Society Series A.
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article0
2006Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities In: Journal of the Royal Statistical Society Series B.
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article15
2014Longitudinal analysis of self-reported health status by mixture latent auto-regressive models In: Journal of the Royal Statistical Society Series C.
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article11
2020Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market In: Journal of the Royal Statistical Society Series C.
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article2
2010A note on the mixture transition distribution and hidden Markov models In: Journal of Time Series Analysis.
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article5
2008Focused Information Criterion for Capture–Recapture Models for Closed Populations In: Scandinavian Journal of Statistics.
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article2
2015A finite mixture latent trajectory model for modeling ultrarunners’ behavior in a 24-hour race In: Journal of Quantitative Analysis in Sports.
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article2
2015Determinants of Job Satisfaction in Young Russian Workers In: Discussion Papers.
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paper0
2018Dealing with reciprocity in dynamic stochastic block models In: Computational Statistics & Data Analysis.
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article2
2001Developments of the Markov chain approach within the distribution theory of runs In: Computational Statistics & Data Analysis.
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article1
2003Likelihood-based inference for asymmetric stochastic volatility models In: Computational Statistics & Data Analysis.
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article8
2004Testing for positive association in contingency tables with fixed margins In: Computational Statistics & Data Analysis.
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article7
2005The use of mixtures for dealing with non-normal regression errors In: Computational Statistics & Data Analysis.
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article19
2007Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data In: Computational Statistics & Data Analysis.
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article0
2007Maximum likelihood estimation of an extended latent markov model for clustered binary panel data.(2007) In: CEIS Research Paper.
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This paper has nother version. Agregated cites: 0
paper
2012Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data In: Computational Statistics & Data Analysis.
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article9
2014Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data In: Computational Statistics & Data Analysis.
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article1
2014MultiLCIRT: An R package for multidimensional latent class item response models In: Computational Statistics & Data Analysis.
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article8
2014A generalized multiple-try version of the Reversible Jump algorithm In: Computational Statistics & Data Analysis.
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article2
2015Three-step estimation of latent Markov models with covariates In: Computational Statistics & Data Analysis.
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article6
2023Testing for state dependence in the fixed-effects ordered logit model In: Economics Letters.
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article0
2022Testing for state dependence in the fixed-effects ordered logit model.(2022) In: MPRA Paper.
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2012Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data In: Journal of Econometrics.
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article14
2015Testing for time-invariant unobserved heterogeneity in generalized linear models for panel data In: Journal of Econometrics.
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article23
2013Testing for Time-Invariant Unobserved Heterogeneity in Generalized Linear Models for Panel Data.(2013) In: EIEF Working Papers Series.
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This paper has nother version. Agregated cites: 23
paper
2022Conditional inference for binary panel data models with predetermined covariates In: Econometrics and Statistics.
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article1
2017Misspecification test for random effects in generalized linear finite-mixture models for clustered binary and ordered data In: Econometrics and Statistics.
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article2
2020Primary-school class composition and the development of social capital In: Socio-Economic Planning Sciences.
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article0
2018On the role of latent variable models in the era of big data In: Statistics & Probability Letters.
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article1
2007A penalized version of the empirical likelihood ratio for the population mean In: Statistics & Probability Letters.
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article9
2013Ranking Scientific Journals via Latent Class Models for Polytomous Item Response In: EIEF Working Papers Series.
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paper6
2021A note of caution in interpreting crosscountry correlations of COVID-19 vaccination and infection rates In: EIEF Working Papers Series.
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2014Differences in birth-weight outcomes: A longitudinal study based on siblings.(2014) In: MPRA Paper.
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This paper has nother version. Agregated cites: 1
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2003Bayesian inference for Latent Class model via MCMC with application to capture-recapture data In: Economics and Quantitative Methods.
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paper0
2003Efficient estimate of Bayes factors from Reversible Jump output In: Economics and Quantitative Methods.
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paper0
2017cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models In: Journal of Statistical Software.
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2015cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models.(2015) In: MPRA Paper.
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2017Adaptive Quadrature for Maximum Likelihood Estimation of a Class of Dynamic Latent Variable Models In: Computational Economics.
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article2
2023Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data In: Computational Economics.
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2002A recursive algorithm for Markov random fields In: Biometrika.
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article9
2006Efficient Bayes factor estimation from the reversible jump output In: Biometrika.
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2007On the approximation of the quadratic exponential distribution in a latent variable context In: Biometrika.
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article0
2017Job satisfaction and compensating wage differentials: Evidence from Russia In: CESifo Economic Studies.
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article1
2015A joint model for longitudinal and survival data based on an AR(1) latent process In: Working papers of the Department of Economics - University of Perugia (IT).
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paper0
2021Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models In: MPRA Paper.
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2023Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models.(2023) In: Empirical Economics.
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This paper has nother version. Agregated cites: 0
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2021MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit In: MPRA Paper.
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2024MCMC conditional maximum likelihood for the two-way fixed-effects logit.(2024) In: Econometric Reviews.
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This paper has nother version. Agregated cites: 0
article
2012A causal analysis of mother’s education on birth inequalities In: MPRA Paper.
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2012Item selection by an extended Latent Class model: An application to nursing homes evaluation In: MPRA Paper.
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paper2
2011An alternative to the Baum-Welch recursions for hidden Markov models In: MPRA Paper.
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2012Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates In: MPRA Paper.
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2014Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates.(2014) In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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This paper has nother version. Agregated cites: 24
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2012Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data In: MPRA Paper.
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2012Measuring concentration in economic sectors by h-index and g-index In: MPRA Paper.
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paper0
2012Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator In: MPRA Paper.
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2013Testing for state dependence in binary panel data with individual covariates In: MPRA Paper.
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paper3
2013Adaptive quadrature for likelihood inference on dynamic latent variable models for time-series and panel data In: MPRA Paper.
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2014Employment status and perceived health condition: longitudinal data from Italy In: MPRA Paper.
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2014A finite mixture latent trajectory model for hirings and separations in the labor market In: MPRA Paper.
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2015Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies In: MPRA Paper.
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2016Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies.(2016) In: Journal of Educational and Behavioral Statistics.
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This paper has nother version. Agregated cites: 4
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2015Composite likelihood inference for hidden Markov models for dynamic networks In: MPRA Paper.
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2017A multilevel latent Markov model for the evaluation of nursing homes performance In: MPRA Paper.
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2019Evaluating time-varying treatment effects in latent Markov models: An application to the effect of remittances on poverty dynamics In: MPRA Paper.
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paper2
2019Are attitudes towards immigration changing in Europe? An analysis based on bidimensional latent class IRT models In: MPRA Paper.
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2007A dynamic model for binary panel data with unobserved heterogeneity admitting a Vn-consistent conditional estimator In: CEIS Research Paper.
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paper1
2011Assessment of School Performance Through a Multilevel Latent Markov Rasch Model In: Journal of Educational and Behavioral Statistics.
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2023A Causal Latent Transition Model With Multivariate Outcomes and Unobserved Heterogeneity: Application to Human Capital Development In: Journal of Educational and Behavioral Statistics.
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article0
2016Item selection by latent class-based methods: an application to nursing home evaluation In: Advances in Data Analysis and Classification.
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2021A bivariate finite mixture growth model with selection In: Advances in Data Analysis and Classification.
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article1
2022Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models In: Advances in Data Analysis and Classification.
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2023Tempered expectation-maximization algorithm for the estimation of discrete latent variable models In: Computational Statistics.
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2023Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models In: Computational Statistics.
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2012Effects of individual and social factors on preterm birth and low birth weight: empirical evidence from regional data in Italy In: International Journal of Public Health.
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article3
2005Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures In: Journal of Classification.
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2018Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation In: Journal of Classification.
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2015Latent variable models for the analysis of socio-economic data In: METRON.
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2005Likelihood inference on the underlying structure of IRT models In: Psychometrika.
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2007A class of multidimensional IRT models for testing unidimensionality and clustering items In: Psychometrika.
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2010Multidimensional Latent Markov Models in a Developmental Study of Inhibitory Control and Attentional Flexibility in Early Childhood In: Psychometrika.
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2012Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models In: Psychometrika.
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2017A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework In: Psychometrika.
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2024Book Review of Mixture and Hidden Markov Models with R by Visser & Speekenbrink In: Psychometrika.
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2024Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink In: Psychometrika.
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2019Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence In: Statistical Methods & Applications.
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1998On estimating the variance of the systematic sample mean In: Statistical Methods & Applications.
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2014Rejoinder on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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2018GDP dynamics and unemployment changes in developed and developing countries In: Applied Economics.
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2016Modified Profile Likelihood for Fixed-Effects Panel Data Models In: Econometric Reviews.
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2018Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model In: Econometric Reviews.
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article2
2016Pairwise Likelihood Inference for Nested Hidden Markov Chain Models for Multilevel Longitudinal Data In: Journal of the American Statistical Association.
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2001Maximum likelihood estimation of a latent variable time‐series model In: Applied Stochastic Models in Business and Industry.
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