Likelihood inference in Gaussian copula models for count time series via minimax exponential tilting

@article{quynh2026,
  title        = {{Likelihood inference in Gaussian copula models for count time series via minimax exponential tilting}},
  author       = {Quynh Nguyen & Victor De Oliveira},
  journal      = {Computational Statistics and Data Analysis},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.csda.2026.108344},
}

TY  - JOUR
TI  - Likelihood inference in Gaussian copula models for count time series via minimax exponential tilting
AU  - Nguyen, Quynh
AU  - Oliveira, Victor De
JO  - Computational Statistics and Data Analysis
PY  - 2026
ER  -

Quynh Nguyen & Victor De Oliveira (2026). Likelihood inference in Gaussian copula models for count time series via minimax exponential tilting. *Computational Statistics and Data Analysis*. https://doi.org/https://doi.org/10.1016/j.csda.2026.108344

Quynh Nguyen & Victor De Oliveira. "Likelihood inference in Gaussian copula models for count time series via minimax exponential tilting." *Computational Statistics and Data Analysis* (2026). https://doi.org/https://doi.org/10.1016/j.csda.2026.108344.

Likelihood inference in Gaussian copula models for count time series via minimax exponential tilting
Quynh Nguyen & Victor De Oliveira · Computational Statistics and Data Analysis · 2026
https://doi.org/https://doi.org/10.1016/j.csda.2026.108344