Publications
Authors | Title | Year | Journal/Proceedings/Book |
---|---|---|---|
McAlinn, K. & Takanashi, K. |
Mean-shift least squares model averaging [arXiv] |
2019 | arXiv:1912.01194 |
Takanashi, K. & McAlinn, K. |
Predictive properties of forecast combination, ensemble methods, and Bayesian predictive synthesis [arXiv] |
2019 | arXiv:1911.08662 |
McAlinn, K., Aastveit, K.A., Nakajima, J., & West, M. |
Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting |
2019 | Journal of the American Statistical Association (in press) |
McAlinn, K., Ushio, A., & Nakatsuma, T. |
Volatility forecasts using stochastic volatility models with nonlinear leverage effects [arXiv] |
2019 | Journal of Forecasting (in press) |
McAlinn, K. & West, M. |
Dynamic Bayesian Predictive Synthesis in Time Series Forecasting |
2019 |
Journal of Econometrics 210: 155-169 |
McAlinn, K., Rockova, V., & Saha, E. |
Dynamic sparse factor analysis [arXiv] |
2018 | arXiv:1812.04187 |
McAlinn, K., Aastveit, K.A., & West, M. |
Comment on "Using stacking to average Bayesian predictive distributions" [URL] |
2018 |
Bayesian Analysis 13: 917-1003 |
Bianchi, D. & McAlinn, K. |
Large-Scale Dynamic Predictive Regressions |
2018 | arXiv:1803.06738 |
McAlinn, K. |
Dynamic Mixed Frequency Synthesis for Economic Nowcasting [arXiv] |
2017 | arXiv:1712.03646 |
Rockova, V. & McAlinn, K. |
Dynamic Variable Selection with Spike-and-Slab Process Priors [arXiv] |
2017 |
Invited revision: Bayesian Analysis arXiv:1708.00085 |
McAlinn, K. |
Dynamic Modeling and Bayesian Predictive Synthesis [URL] |
2017 | Doctoral Thesis |
McAlinn, K. & Nakatsuma, T. |
Fully Parallel Particle Learning for GPGPUs and Other Parallel Devices [arXiv] |
2015 | arXiv:1212.1639 |
Katsura, H. & McAlinn, K. |
Stochastic volatility models and its application to VIX derivatives (in Japanese) [URL] |
2014 | JAFEE Journal |
© Kenichiro McAlinn, 2016.