Research
Preprints
- Rea, D., Aktekin, T., and Irie, K. (2025),
"Arrival forecasting during demand surges: A multi-site study of emergency departments,"
Submitted.
- Yanchenko, E., Irie, K., and Sugasawa, S. (2024),
"The group R2D2 shrinkage prior for sparse linear models with grouped covariates,"
Submitted,
arXiv:2412.15293
- Miyatake, Y., Irie, K., and Matsuda, T. (2024),
"Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression,"
Submitted,
arXiv:2411.08338
- Masuda, R., and Irie, K. (2024),
"On the proofs of the predictive synthesis formula,"
arXiv:2409.09660
- Hiraki, D., Hamura, Y., Irie, K., and Sugasawa, S. (2024),
"State-space modeling of shape-constrained functional time series,"
Submitted, arXiv:2404.07586
- Han, G., and Irie, K. (2024),
"Zero-inflated stochastic volatility model for disaggregated inflation data with exact zeros,"
R&R arXiv:2403.10945
- Masuda, R., and Irie, K. (2023),
"Sequential Bayesian predictive synthesis,"
invited revision arXiv:2308.15910
- Hamura, Y., Irie, K., and Sugasawa, S. (2020),
"Shrinkage with robustness: log-adjusted priors for sparse signals,"
R&R arXiv:2001.08465
- Irie, K. (2019),
"Bayesian dynamic fused LASSO,"
arXiv:1905.12275
Papers
- Hamura, Y., Irie, K., and Sugasawa, S. (2025+),
"Robust hierarchical modeling of counts under zero-inflation and outliers,"
Journal of the American Statistical Association.
URL,
arXiv:2106.10503
- Hamura, Y., Irie, K., and Sugasawa, S. (2024),
"Posterior robustness with milder conditions: Contamination models revisited,"
Statistics and Probability Letters, 210, 110-130.
URL,
arXiv:2303.00281
- Hamura, Y., Irie, K., and Sugasawa, S. (2024),
"Gibbs sampler for matrix generalized Gaussian distributions,"
Journal of Computational and Graphical Statistics, 33(2), 331-340.
URL
arXiv:2302.09707
- Okano, R., Hamura, Y., Irie, K., and Sugasawa, S. (2024),
"Locally adaptive Bayesian isotonic regression with half shrinkage priors,"
Scandinavian Journal of Statistics, 5(1), 109-141.
URL
arXiv:2208.05121
- Tamae, H., Irie, K. and Kubokawa, T. (2024),
"Score-adjusted methods for estimation of shape parameters in Gamma-Poisson and Beta-Binomial distributions,"
Communication in Statistics - Simulation and Computation, 53:3, 1247-1257.
URL
- Hamura, Y., Irie, K., and Sugasawa, S. (2023),
"On data augmentation for models involving reciprocal gamma functions,"
Journal of Computational and Graphical Statistics, 32:3, 908-916 URL arXiv:2203.01704
- Hamura, Y., Irie, K., and Sugasawa, S. (2022),
"Log-regularly varying scale mixture of normals for robust regression,"
Computational Statistics and Data Analysis, 173. URL arXiv:2005.02800
- Hamura, Y., Irie, K., and Sugasawa, S. (2022),
"On global-local shrinkage for count data,"
Bayesian Analysis, 17(2) 545-564.
URL
arXiv:1907.01333
- Irie, K., Glynn, C. and Aktekin, T. (2022),
"Sequential modeling, monitoring and forecasting of streaming web traffic data,"
Annals of Applied Statistics, 16(1): 300-325. URL
- Peña, V. and Irie, K. (2021),
"On the relationship between beta-Bartlett and Uhlig extended processes,"
Journal of Time Series Analysis, 43, 147-153.
URL
arXiv:2006.13868
- Tamae, H., Irie, K. and Kubokawa, T. (2020),
"A score-adjusted approach to closed-form estimators for the gamma and beta distributions,"
Japanese Journal of Statistics and Data Science, 3, 543-561
URL
- Irie, K. and West, M. (2019),
"Bayesian emulation for optimization in multi-step portfolio decisions,"
Bayesian Analysis, 14: 137-160
URL, arXiv:1607.01631
- Chen, X., Irie, K., Banks, D., Haslinger, R., Thomas, J. and West, M. (2018),
"Scalable Bayesian modeling, monitoring and analysis of dynamic network flow data,"
Journal of the American Statistical Association, 113: 519-533
URL, arXiv:1607.02655
Discussions
- Irie, K. and Sugasawa, S. (2021+),
Contributed discussion of: Multilevel linear models, Gibbs samplers and multigrid decompositions, by Zanella, G. and Roberts, G.,
Bayesian Analysis.
Book translation
Presentations
- Japanese JSM int'l session, Tokyo, September 2024
- 2024 Bayes Workshop, Akita International University, August 2024
- ISBA 2024 World Meeting, Venice, Italy, July 2024
- Seminar on Bayesian computation @ The Institute of Statistical Mathematics, Tokyo, May 2024
- EcoSta 2023, Waseda University, Tokyo, August 2023
- Workshop on Bayesian Statistics and Econometrics, Temple University Japan campus, July 2023
- EAC-ISBA 2022, hybrid (Taiwan), July 2022
- EcoSta 2022, hybrid (Kyoto), June 2022
- CMStatistics 2021, hybrid (London), December 2021
- EAC-ISBA 2021, hybrid (Atlantic City, New Jersey and Kunming, Yunnan), November 2021
- BISP12, online, May 2021
- JSS Spring Meeting International Session, online, March 2021
- Webinar of Bayesian Econometrics 2020, online, November 2020
- CFE 2019, London, December 2019
- Japanese JSM 2019 Intl Session, Shiga Univ, Japan, September 2019
- EAC-ISBA, Kobe, Japan, July 2019
- Young Bayesian workshop: satellite meeting of EAC-ISBA, Keio U, Tokyo, July 2019
- 44th Annual Spring Lecture Series, University of Arkansas, April 2019
- CFE 2018, Pisa, Italy, Dec 2018
- Japanese JSM 2018 Intl Session, Chuo Univ, Tokyo, Japan, September 2018
- ISBA 2018 World Meeting (poster), Edinburgh, UK, June 2018
- CSA-KSS-JSS meeting, Taiwan, 8 Dec 2017
- Bayes workshop at UTokyo, 25 Nov 2017
- EcoSta 2017, HKUST, Hong Kong, 15-17 June 2017
- ECM 2017, Hong Kong PloyU, Hong Kong, 31 May - 2 June 2017
- CFE 2016, Seville, Spain, December 2016
- Keio University, Tokyo, October 2016
- Frontiers of Statistics and Data Sciences, The Hong Kong Polytechnic University, 25-26 June 2016
- Games and Decisions in Reliability and Risk Workshop, SAMSI, 18 May 2016
- CFE 2015, London, December 2015
- DNAC seminar, Duke, September 2015
- JSM 2015 (author of contributed paper/coauthor of invited paper), Seatle, August 2015
- QPRC 2015 (invited), NC State University, June 2015
- ISBA 2014 World Meeting (poster), Cancun, July 2014
- EFaB @ Bayes 250 Workshop (poster), Durham, December 2013
- ISBA 2012 World Meeting (poster), Kyoto, June 2012