フォロー
Kenichiro McAlinn
Kenichiro McAlinn
確認したメール アドレス: temple.edu - ホームページ
タイトル
引用先
引用先
Dynamic Bayesian predictive synthesis in time series forecasting
K McAlinn, M West
Journal of Econometrics 210 (1), 155-169, 2019
1232019
Multivariate Bayesian predictive synthesis in macroeconomic forecasting
K McAlinn, KA Aastveit, J Nakajima, M West
Journal of the American Statistical Association 115 (531), 1092-1110, 2020
792020
Dynamic variable selection with spike-and-slab process priors
V Rockova, K McAlinn
562021
Divide and conquer: Financial ratios and industry returns predictability
D Bianchi, K McAlinn
Available at SSRN 3136368, 2020
13*2020
Policy choice and best arm identification: Asymptotic analysis of exploration sampling
K Ariu, M Kato, J Komiyama, K McAlinn, C Qin
arXiv preprint arXiv:2109.08229, 2021
112021
Dynamic sparse factor analysis
K McAlinn, V Rockova, E Saha
arXiv preprint arXiv:1812.04187, 2018
112018
Mixed-frequency Bayesian predictive synthesis for economic nowcasting
K McAlinn
Journal of the Royal Statistical Society Series C: Applied Statistics 70 (5 …, 2021
102021
Learning causal models from conditional moment restrictions by importance weighting
M Kato, M Imaizumi, K McAlinn, H Kakehi, S Yasui
arXiv preprint arXiv:2108.01312, 2021
82021
The adaptive doubly robust estimator and a paradox concerning logging policy
M Kato, K McAlinn, S Yasui
Advances in Neural Information Processing Systems 34, 1351-1364, 2021
72021
Bayesian Causal Synthesis for Supra-Inference on Heterogeneous Treatment Effects
S Sugasawa, K Takanashi, K McAlinn
arXiv preprint arXiv:2304.07726, 2023
52023
Volatility forecasts using stochastic volatility models with nonlinear leverage effects
K McAlinn, A Ushio, T Nakatsuma
Journal of Forecasting 39 (2), 143-154, 2020
52020
Fully parallel particle learning for GPGPUs and other parallel devices
K McAlinn, T Nakatsuma
arXiv preprint arXiv:1212.1639, 2012
52012
Bayesian spatial predictive synthesis
D Cabel, S Sugasawa, M Kato, K Takanashi, K McAlinn
arXiv preprint arXiv:2203.05197, 2022
22022
Learning causal relationships from conditional moment conditions by importance weighting
M Kato, H Kakehi, K McAlinn, S Yasui
arXiv preprint arXiv:2108.01312, 2021
22021
Predictive properties and minimaxity of bayesian predictive synthesis
K Takanashi, K McAlinn
Preprint, RIKEN and Temple University, 2020
22020
Predictions with dynamic Bayesian predictive synthesis are exact minimax
K Takanashi, K McAlinn
arXiv e-prints, arXiv: 1911.08662, 2019
22019
Synthetic Control Methods by Density Matching under Implicit Endogeneitiy
M Kato, A Ohda, M Imaizumi, K McAlinn
arXiv preprint arXiv:2307.11127, 2023
12023
Dynamic Mixed Frequency Synthesis for Economic Nowcasting
K McAlinn
arXiv preprint arXiv:1712.03646, 2017
12017
Predicting the next executions using high-frequency data
K Sugiura, T Nakatsuma, K McAlinn
Data Analytics 2015, 95-100, 2015
12015
Patent Waiver and Incentive to Innovate
K McAlinn, AJ Naghavi, G Pignataro, S Sugasawa, K Yamada
2023
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論文 1–20