References in zbMATH (referenced in 89 articles , 1 standard article )

Showing results 1 to 20 of 89.
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  1. Wan, Zhonglin; Li, Hongyan; Luo, Yi; Huang, Yirong: A novel Bayesian approach to estimate long memory parameter (2022)
  2. Bruns, Martin: Proxy vector autoregressions in a data-rich environment (2021)
  3. Cho, Moonhee; Zheng, Xiaoyong: Bayesian estimation of dynamic panel data gravity model (2021)
  4. Ojo, Oluwadare Olatunde: A comparative study of Bayesian and frequentist testing for model comparison in nested model (2021)
  5. Spade, David A.: A Monte Carlo integration approach to estimating drift and minorization coefficients for Metropolis-Hastings samplers (2021)
  6. Spade, David A.: Estimating drift and minorization coefficients for Gibbs sampling algorithms (2021)
  7. Vats, Dootika; Knudson, Christina: Revisiting the Gelman-Rubin diagnostic (2021)
  8. Ziane, Yasmina; Zougab, Nabil; Adjabi, Smail: Body tail adaptive kernel density estimation for nonnegative heavy-tailed data (2021)
  9. Joukar, A.; Ramezani, M.; Mirmostafaee, S. M. T. K.: Estimation of (P(X > Y)) for the power Lindley distribution based on progressively type II right censored samples (2020)
  10. Liu, Peiran; Raftery, Adrian E.: Accounting for uncertainty about past values in probabilistic projections of the total fertility rate for most countries (2020)
  11. Safta, Cosmin; Ray, Jaideep; Sargsyan, Khachik: Characterization of partially observed epidemics through Bayesian inference: application to COVID-19 (2020)
  12. Chakraborty, Saptarshi; Khare, Kshitij: Consistent estimation of the spectrum of trace class data augmentation algorithms (2019)
  13. Mizera, Andrzej; Pang, Jun; Yuan, Qixia: GPU-accelerated steady-state computation of large probabilistic Boolean networks (2019)
  14. Ozanne, Marie V.; Brown, Grant D.; Oleson, Jacob J.; Lima, Iraci D.; Queiroz, Jose W.; Jeronimo, Selma M. B.; Petersen, Christine A.; Wilson, Mary E.: Bayesian compartmental model for an infectious disease with dynamic states of infection (2019)
  15. Chitakasempornkul, Kessinee; Sanderson, Michael W.; Cha, Elva; Renter, David G.; Jager, Abigail; Bello, Nora M.: Accounting for data architecture on structural equation modeling of feedlot cattle performance (2018)
  16. Dixit, Anand; Roy, Vivekananda: MCMC diagnostics for higher dimensions using Kullback Leibler divergence (2017)
  17. Franta, Michal: Rare shocks vs. non-linearities: what drives extreme events in the economy? Some empirical evidence (2017)
  18. Khadraoui, Khader: Nonparametric adaptive Bayesian regression using priors with tractable normalizing constants and under qualitative assumptions (2017)
  19. Pettenuzzo, Davide; Timmermann, Allan; Valkanov, Rossen: A MIDAS approach to modeling first and second moment dynamics (2016)
  20. Burda, Martin: Constrained Hamiltonian Monte Carlo in BEKK GARCH with targeting (2015)

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