Wagner Barreto-Souza
Biographic Data
| ID | 8921020 |
|---|---|
| NAME | Wagner Barreto-Souza |
| GIVEN NAMES | Wagner |
| FAMILY NAME | Barreto-Souza |
| SIGNATURE | BARRETO-SOUZA W |
| AFFILIATIONS | University College Dublin |
| ORCID | 0000-0003-0831-7881 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Gamma-Driven Markov Processes and Extensions with Application to Realized Volatility
We propose a novel class of Markov processes for dealing with continuous positive time series data, which is constructed based on a latent gamma effect and named gamma-driven (GD) models.The GD processes possess desirable properties and features: (i) it can produce any desirable invariant distribution with support on R + , (ii) it is time-reversible, and (iii) it has the transition density function given in an explicit form.Estimation of paramete…
Determining economic factors for sex trafficking in the United States using count time series regression
The article presents a robust quantitative approach for determining significant economic factors for sex trafficking in the United States. The aim is to study monthly counts of sex trafficking-related convictions, and use a wide range of economic variables as covariates to investigate their effect on conviction counts. A count time series model is considered along with a regression setup to include economic time series as covariates (economic fac…
No prominent works on this page.
Determining economic factors for sex trafficking in the United States using count time series regression
The article presents a robust quantitative approach for determining significant economic factors for sex trafficking in the United States. The aim is to study monthly counts of sex trafficking-related convictions, and use a wide range of economic variables as covariates to investigate their effect on conviction counts. A count time series model is considered along with a regression setup to include economic time series as covariates (economic fac…
Gamma-Driven Markov Processes and Extensions with Application to Realized Volatility
We propose a novel class of Markov processes for dealing with continuous positive time series data, which is constructed based on a latent gamma effect and named gamma-driven (GD) models.The GD processes possess desirable properties and features: (i) it can produce any desirable invariant distribution with support on R + , (ii) it is time-reversible, and (iii) it has the transition density function given in an explicit form.Estimation of paramete…
Econometrics (2 works) · Economics (2 works) · Mathematics (2 works) · Statistics (2 works) · Biology (1 work) · Computer Science (1 work) · Count data (1 work) · Financial economics (1 work) · Financial Risk and Volatility Modeling (1 work) · Market Dynamics and Volatility (1 work)