Research output per year
Research output per year
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Dive into the research topics where Hedibert Lopes is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Deep learning models for inflation forecasting
Theoharidis, A. F., Guillén, D. A. & Lopes, H., May 1 2023, In: Applied Stochastic Models in Business and Industry. 39, 3, p. 447-470 24 p.Research output: Contribution to journal › Article › peer-review
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Bayesian generalizations of the integer-valued autoregressive model
Marques F, P. C., Graziadei, H. & Lopes, H. F., 2022, In: Journal of Applied Statistics. 49, 2, p. 336-356 21 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Parsimony inducing priors for large scale state–space models
Lopes, H. F., McCulloch, R. E. & Tsay, R. S., Sep 2022, In: Journal of Econometrics. 230, 1, p. 39-61 23 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
How many hospitalizations has the covid-19 vaccination already prevented in são paulo?
Izbicki, R., Bastos, L. S., Izbicki, M., Lopes, H. F. & Dos Santos, T. M., 2021, In: Clinics. 76, e3250.Research output: Contribution to journal › Comment/debate › peer-review
Open Access5 Scopus citations -
The illusion of the illusion of sparsity: An exercise in prior sensitivity
Fava, B. & Lopes, H. F., Nov 2021, In: Brazilian Journal of Probability and Statistics. 35, 4, p. 699-720 22 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Datasets
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Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors
Hahn, P. (Contributor), He, J. (Contributor) & Lopes, H. (Contributor), Taylor & Francis, 2018
DOI: 10.6084/m9.figshare.6534089.v2, https://tandf.figshare.com/articles/Efficient_sampling_for_Gaussian_linear_regression_with_arbitrary_priors/6534089/2
Dataset
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Efficient sampling for Gaussian linear regression with arbitrary priors
Hahn, P. (Contributor), He, J. (Contributor) & Lopes, H. (Contributor), Figshare, 2018
DOI: 10.6084/m9.figshare.6534089.v1, https://tandf.figshare.com/articles/Efficient_sampling_for_Gaussian_linear_regression_with_arbitrary_priors/6534089/1
Dataset
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On the Long-Run Volatility of Stocks
Carvalho, C. M. (Creator), Lopes, H. (Contributor) & McCulloch, R. (Creator), figshare Academic Research System, 2018
DOI: 10.6084/m9.figshare.5787540.v2, https://tandf.figshare.com/articles/On_the_Long_Run_Volatility_of_Stocks/5787540/2
Dataset
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On the Long Run Volatility of Stocks
Carvalho, C. M. (Creator), Lopes, H. (Contributor) & McCulloch, R. (Creator), Figshare, 2018
DOI: 10.6084/m9.figshare.5787540.v1, https://tandf.figshare.com/articles/On_the_Long_Run_Volatility_of_Stocks/5787540/1
Dataset
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Efficient Sampling for Gaussian Linear Regression With Arbitrary Priors
Hahn, P. (Contributor), He, J. (Contributor) & Lopes, H. (Contributor), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.6534089, https://tandf.figshare.com/articles/Efficient_sampling_for_Gaussian_linear_regression_with_arbitrary_priors/6534089
Dataset