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Constructing Efficient Simulated Moments Using Temporal Convolutional Networks. (2023). Creel, Michael ; Chassot, Jonathan.
In: Working Papers.
RePEc:bge:wpaper:1412.

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  1. Akesson, M., Singh, P., Wrede, F., & Hellander, A. (2021). Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(8).
    Paper not yet in RePEc: Add citation now
  2. Bai, S., Kolter, J. Z., & Koltun, V. (2018). An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271.
    Paper not yet in RePEc: Add citation now

  3. Barndorff-Nielsen, O. E., Hansen, P. R., Lunde, A., & Shephard, N. (2009). Realized kernels in practice: Trades and quotes. Econometrics Journal, 12(3).

  4. Blum, M. G., & François, O. (2010). Non-linear regression models for Approximate Bayesian Computation. Statistics and Computing, 20(1), 63–73.
    Paper not yet in RePEc: Add citation now

  5. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.

  6. Bucci, A. (2020). Realized Volatility Forecasting with Neural Networks. Journal of Financial Econometrics, 18(3), 502–531.

  7. Calin, O. (2020). Deep Learning Architectures: A Mathematical Approach. Springer International Publishing.
    Paper not yet in RePEc: Add citation now

  8. Carrasco, M. (2012). A regularization approach to the many instruments problem. Journal of Econometrics, 170(2), 383–398.

  9. Cheng, X., & Liao, Z. (2015). Select the valid and relevant moments: An information-based LASSO for GMM with many moments. Journal of Econometrics, 186(2), 443–464.

  10. Chernozhukov, V., & Hong, H. (2003). An MCMC approach to classical estimation. Journal of Econometrics, 115(2), 293–346.

  11. Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014). Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv preprint arXiv:1412.3555, 1– 9. Creel, M. (2017). Neural nets for indirect inference. Econometrics and Statistics, 2, 36–49. Michael Creel acknowledges financial support from the Spanish Ministry of Science, Innovation and Universities and FEDER through grant PGC2018-094364-B-100 and from the Spanish Agencia Estatal de Investigación (AEI), through the Severo Ochoa Programme for Centres of Excellence in R&D (Barcelona School of Economics CEX2019-000915-S).
    Paper not yet in RePEc: Add citation now

  12. Creel, M. (2021). Inference using simulated neural moments. Econometrics, 9(4), 1–15.

  13. DiTraglia, F. J. (2016). Using invalid instruments on purpose: Focused moment selection and averaging for GMM. Journal of Econometrics, 195(2), 187–208.

  14. Donald, S. G., Imbens, G. W., & Newey, W. K. (2009). Choosing instrumental variables in conditional moment restriction models. Journal of Econometrics, 152(1), 28–36.

  15. Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), 987–1007.

  16. Farrell, M. H., Liang, T., & Misra, S. (2021). Deep Neural Networks for Estimation and Inference. Econometrica, 89(1), 181–213.

  17. Fisher, T., Luedtke, A., Carone, M., & Simon, N. (2020). Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks.
    Paper not yet in RePEc: Add citation now
  18. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. The MIT Press.
    Paper not yet in RePEc: Add citation now

  19. Gouriéroux, C., & Monfort, A. (1997). Simulation-based econometric methods. Oxford University Press.

  20. Gourieroux, C., Monfort, A., & Renault, E. (1993). Indirect Inference. Journal of Applied Econometrics, 8.
    Paper not yet in RePEc: Add citation now
  21. Graves, A., Mohamed, A. R., & Hinton, G. (2013). Speech recognition with deep recurrent neural networks. IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.
    Paper not yet in RePEc: Add citation now
  22. Grazian, C., & Fan, Y. (2020). A review of approximate Bayesian computation methods via density estimation: Inference for simulator-models. Wiley Interdisciplinary Reviews: Computational Statistics, 12(4), 1–16.
    Paper not yet in RePEc: Add citation now

  23. Hall, A. R. (2015). Econometricians Have Their Moments: GMM at 32. Economic Record, 91(S1), 1–24.

  24. Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators.

  25. He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. Proceedings of the IEEE conference on computer vision and pattern recognition, 770– 778.
    Paper not yet in RePEc: Add citation now
  26. Hochreiter, S., & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation, 9(8), 1735–1780.
    Paper not yet in RePEc: Add citation now
  27. Ioffe, S., & Szegedy, C. (2015). Batch normalization: Accelerating deep network training by reducing internal covariate shift. International conference on machine learning, 1, 448–456.
    Paper not yet in RePEc: Add citation now
  28. Jiang, B., Wu, T. Y., Zheng, C., & Wong, W. H. (2017). Learning summary statistic for approximate Bayesian computation via deep neural network. Statistica Sinica, 27(4), 1595–1618.
    Paper not yet in RePEc: Add citation now
  29. Jiang, W., & Turnbull, B. (2004). The indirect method: Inference based on intermediate statistics-a synthesis and examples. Statistical Science, 19(2), 239–263.
    Paper not yet in RePEc: Add citation now

  30. Kim, J. Y. (2002). Limited information likelihood and Bayesian analysis. Journal of Econometrics, 107(1-2), 175–193.

  31. Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems, 25.
    Paper not yet in RePEc: Add citation now
  32. Kwan, Y. K. (1999). Asymptotic Bayesian analysis based on a limited information estimator. Journal of Econometrics, 88(1), 99–121.
    Paper not yet in RePEc: Add citation now

  33. McFadden, D. (1989). A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration. Econometrica, 57(5), 995–1026.

  34. Pakes, A., & Pollard, D. (1989). Simulation and the Asymptotics of Optimization Estimators.

  35. Rackaukas, C., & Nie, Q. (2017). DifferentialEquations.jl - a performant and feature-rich ecosystem for solving differential equations in Julia. Journal of Open Research Software, 5. Salimans, T., & Kingma, D. P. (2016). Weight normalization: A simple reparameterization to accelerate training of deep neural networks. Advances in Neural Information Processing Systems, 901–909.
    Paper not yet in RePEc: Add citation now
  36. Sisson, S. A., Fan, Y., & Beaumont, M. (Eds.). (2018). Handbook of Approximate Bayesian Computation. Taylor & Francis.
    Paper not yet in RePEc: Add citation now

  37. Smith, A. A. (1993). Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions. Journal of Applied Econometrics, 8, 63–84.

  38. Sobol’, I. M. (1967). On the distribution of points in a cube and the approximate evaluation of integrals. USSR Computational Mathematics and Mathematical Physics, 7(4), 86– 112.
    Paper not yet in RePEc: Add citation now
  39. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. (2014). Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15, 1929–1958.
    Paper not yet in RePEc: Add citation now
  40. Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. Advances in neural information processing systems, 27.
    Paper not yet in RePEc: Add citation now
  41. van den Oord, A., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., & Kavukcuoglu, K. (2016). WaveNet: A Generative Model for Raw Audio. arXiv preprint arXiv:1609.03499.
    Paper not yet in RePEc: Add citation now
  42. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser,., & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 2017-Decem(Nips), 5999–6009.
    Paper not yet in RePEc: Add citation now
  43. Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2015). Show and tell: A neural image caption generator. Proceedings of the IEEE conference on computer vision and pattern recognition, 3156–3164.
    Paper not yet in RePEc: Add citation now
  44. Wiqvist, S., Mattei, P. A., Picchini, U., & Frellsen, J. (2019). Partially exchangeable networks and architectures for learning summary statistics in approximate Bayesian computation. International Conference on Machine Learning, 6798–6807. A Hyperparameter Tuning TCN LSTM Hyperparameter Chosen values Candidate values Mini-batch size 1 024 1 024 32, 64, 128, 256, 512, 1 024, 2 048 Optimizer AdamW AdamW Adam, AdamW, RMSProp, AdaGrad Learning rate 10−3 10−3 5 10−3 , 10−3 , 5 10−4 , 10−4 TCN-specific Channels 32 2, 4, 8, 16, 32, 64 Dilation factor 2 2, 4, 8, 16 Kernel width 32 2, 4, 8, 16, 32, 64 Residual connection True False, True LSTM-specific LSTM Layers 2 1, 2, 3 Nodes 32 8, 16, 32, 64
    Paper not yet in RePEc: Add citation now

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