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Hedibert F. Lopes, Ph.D. - Publications

Affiliations: 
2000 Duke University, Durham, NC 
Area:
Bioinformatics, Statistics
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38 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 C Marques F P, Graziadei H, Lopes HF. Bayesian generalizations of the integer-valued autoregressive model. Journal of Applied Statistics. 49: 336-356. PMID 35707215 DOI: 10.1080/02664763.2020.1812544  0.345
2020 Graziadei H, Lijoi A, Lopes HF, Marques F PC, Prünster I. Prior Sensitivity Analysis in a Semi-Parametric Integer-Valued Time Series Model. Entropy (Basel, Switzerland). 22. PMID 33285844 DOI: 10.3390/e22010069  0.314
2016 Lopes HF, Polson NG. Particle Learning for Fat-Tailed Distributions Econometric Reviews. 1-26. DOI: 10.1080/07474938.2015.1092809  0.305
2016 do Nascimento FF, Gamerman D, Lopes HF. Time-varying extreme pattern with dynamic models Test. 25: 131-149. DOI: 10.1007/s11749-015-0444-4  0.38
2015 Lopes HF, Dias R. Bayesian mixture of parametric and nonparametric density estimation: A Misspecification Problem Brazilian Review of Econometrics. 31: 19-44. DOI: 10.12660/Bre.V31N12011.4134  0.442
2014 Heckman JJ, Lopes HF, Piatek R. TREATMENT EFFECTS: A BAYESIAN PERSPECTIVE. Econometric Reviews. 33. PMID 24187431 DOI: 10.1080/07474938.2013.807103  0.382
2014 Lopes HF, Polson NG. Bayesian Instrumental Variables: Priors and Likelihoods Econometric Reviews. 33: 100-121. DOI: 10.1080/07474938.2013.807146  0.358
2013 Prado R, Lopes HF. Sequential parameter learning and filtering in structured autoregressive state-space models Statistics and Computing. 23: 43-57. DOI: 10.1007/S11222-011-9289-1  0.41
2012 Dukic V, Lopes HF, Polson NG. Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model. Journal of the American Statistical Association. 107: 1410-1426. PMID 37583443 DOI: 10.1080/01621459.2012.713876  0.328
2012 Dukic V, Lopes HF, Polson NG. Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model. Journal of the American Statistical Association. 107: 1410-1426. PMID 37583443 DOI: 10.1080/01621459.2012.713876  0.328
2012 Lopes HF, Polson NG, Carvalho CM. Bayesian statistics with a smile: A resampling-sampling perspective Brazilian Journal of Probability and Statistics. 26: 358-371. DOI: 10.1214/11-Bjps144  0.603
2012 Lopes HF, Johannes MS, Carvalho CM, Polson NG, Pitt M. Particle Learning for Sequential Bayesian Computation Bayesian Statistics 9. DOI: 10.1093/acprof:oso/9780199694587.003.0011  0.563
2012 Carvalho CM, Lopes HF, Aguilar O, Mendoza M. Dynamic Stock Selection Strategies: A Structured Factor Model Framework Bayesian Statistics 9. DOI: 10.1093/acprof:oso/9780199694587.003.0002  0.562
2012 do Nascimento FF, Gamerman D, Lopes HF. A semiparametric Bayesian approach to extreme value estimation Statistics and Computing. 22: 661-675. DOI: 10.1007/S11222-011-9270-Z  0.434
2011 Lopes HF, Tobias JL. Confronting prior convictions: On issues of prior sensitivity and likelihood robustness in bayesian analysis Annual Review of Economics. 3: 107-131. DOI: 10.1146/Annurev-Economics-111809-125134  0.445
2011 Lopes HF, Gamerman D, Salazar E. Generalized spatial dynamic factor models Computational Statistics and Data Analysis. 55: 1319-1330. DOI: 10.1016/J.Csda.2010.09.020  0.436
2011 do Nascimento FF, Gamerman D, Lopes HF. Regression models for exceedance data via the full likelihood Environmental and Ecological Statistics. 18: 495-512. DOI: 10.1007/S10651-010-0148-6  0.454
2011 Lopes HF, Tsay RS. Particle filters and Bayesian inference in financial econometrics Journal of Forecasting. 30: 168-209. DOI: 10.1002/For.1195  0.344
2010 Lopes HF, Schmidt AM, Salazar E, Gómez M, Achkar M. Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models Annals of Applied Statistics. 4: 284-303. DOI: 10.1214/11-Aoas497  0.378
2010 Carvalho CM, Johannes MS, Lopes HF, Polson NG. Particle Learning and Smoothing Statistical Science. 25: 88-106. DOI: 10.1214/10-Sts325  0.552
2010 Carvalho CM, Lopes HF, Polson NG, Taddy MA. Particle learning for general mixtures Bayesian Analysis. 5: 709-740. DOI: 10.1214/10-Ba525  0.58
2010 Ausin MC, Lopes HF. Time-varying joint distribution through copulas Computational Statistics and Data Analysis. 54: 2383-2399. DOI: 10.1016/J.Csda.2009.03.008  0.449
2010 Abanto-Valle CA, Migon HS, Lopes HF. Bayesian modeling of financial returns: A relationship between volatility and trading volume Applied Stochastic Models in Business and Industry. 26: 172-193. DOI: 10.1002/Asmb.V26:2  0.445
2008 Lopes HF, Salazar E, Gamerman D. Spatial dynamic factor analysis Bayesian Analysis. 3: 759-792. DOI: 10.1214/08-Ba329  0.404
2008 Silva RdS, Lopes HF. Copula, marginal distributions and model selection: A Bayesian note Statistics and Computing. 18: 313-320. DOI: 10.1007/S11222-008-9058-Y  0.459
2007 Ausin MC, Lopes HF. Bayesian estimation of ruin probabilities with a heterogeneous and heavy-tailed insurance claim-size distribution Australian and New Zealand Journal of Statistics. 49: 415-434. DOI: 10.1111/J.1467-842X.2007.00492.X  0.409
2007 Lopes HF, Carvalho CM. Factor stochastic volatility with time varying loadings and Markov switching regimes Journal of Statistical Planning and Inference. 137: 3082-3091. DOI: 10.1016/J.Jspi.2006.06.047  0.589
2007 Carvalho CM, Lopes HF. Simulation-based sequential analysis of Markov switching stochastic volatility models Computational Statistics and Data Analysis. 51: 4526-4542. DOI: 10.1016/J.Csda.2006.07.019  0.604
2006 Lopes HF, Salazar E. Bayesian model uncertainty in smooth transition autoregressions Journal of Time Series Analysis. 27: 99-117. DOI: 10.1111/J.1467-9892.2005.00455.X  0.389
2006 Lopes HF, Salazar E. Time Series Mean Level and Stochastic Volatility Modeling by Smooth Transition Autoregressions: A BAYESIAN Approach Advances in Econometrics. 20: 225-238. DOI: 10.1016/S0731-9053(05)20028-2  0.343
2005 Nobre AA, Schmidt AM, Lopes HF. Spatio-temporal models for mapping the incidence of malaria in Pará Environmetrics. 16: 291-304. DOI: 10.1002/Env.704  0.418
2004 Behrens CN, Lopes HF, Gamerman D. Bayesian analysis of extreme events with threshold estimation Statistical Modelling. 4: 227-244. DOI: 10.1191/1471082X04St075Oa  0.328
2004 Mendes BVDM, Lopes HF. Data driven estimates for mixtures Computational Statistics and Data Analysis. 47: 583-598. DOI: 10.1016/J.Csda.2003.12.006  0.391
2004 Lopes HF, West M. Bayesian model assessment in factor analysis Statistica Sinica. 14: 41-67.  0.558
2003 Lopes HF, Müller P, Rosner GL. Bayesian meta-analysis for longitudinal data models using multivariate mixture priors. Biometrics. 59: 66-75. PMID 12762442 DOI: 10.1111/1541-0420.00008  0.439
2000 Huerta G, Lopes HF. Bayesian forecasting and inference in latent structure for the Brazilian Industrial Production Index Brazilian Review of Econometrics. 20: 1-26. DOI: 10.12660/Bre.V20N12000.2772  0.413
1999 Lopes HF, Moreira ARB, Schmidt AM. Hyperparameter estimation in forecast models Computational Statistics and Data Analysis. 29: 387-410.  0.379
1997 Moreira ARB, Fiorencio A, Lopes HF. Um Modelo para a Previsão Conjunta do PIB, Inflação e Liquidez Brazilian Review of Econometrics. 17: 67-111. DOI: 10.12660/Bre.V17N11997.2871  0.392
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