Matsuda, T., Kitajo, K., Yamaguchi, Y., and Komaki, F. (2017).
A point process modeling approach for investigating the effect of online brain activity on perceptual switching,
accepted for publication in NeuroImage.
Matsuda, T. and Komaki, F. (2017). Time series decomposition into oscillation components and phase estimation,
Neural Computation, vol. 29, pp. 332-367.
Komaki, F. and Biswas, A. (2016).
Bayesian optimal response-adaptive design for binary responses using stopping rule,
accepted for publiacation in Statistical Methods in Medical Research.
Kojima, M. and Komaki, F. (2016).
Relations between the conditional normalized maximum likelihood distributions and the latent information priors,
IEEE Transactions on Information Theory, vol. 62, pp. 539-553.
Kojima, M. and Komaki, F. (2016).
Determinantal point process priors for Bayesian variable selection in linear regression,
Statistica Sinica, vol. 26, pp. 97-117.
Komaki, F. (2015).
Simultaneous prediction for independent Poisson processes with different durations,
Journal of Multivariate Analysis, vol. 141, pp. 35-48.
Matsuda, T. and Komaki, F. (2015).
Singular value shrinkage priors for Bayesian prediction,
Biometrika, vol. 102, pp. 843-854.
Hirose, Y. and Komaki, F. (2015). An estimation procedure for contingency table models based on the nested geometry,
Journal of the Japan Statistical Society, vol. 45, pp. 57-75.
Yano, K. and Komaki, F. (2014). Asymptotically constant-risk predictive densities when the
distributions of data and target variables are different,
Entropy, vol. 16, pp. 3026-3048.
Komaki, F. (2013). Bayesian testing of a point null hypothesis based on the latent information prior,
Entropy, vol. 15, pp. 4416–4431.
Hirose, Y. and Komaki, F. (2013). Edge selection based on the geometry of dually flat spaces
for Gaussian graphical models,
Statistics and Computing, vol. 23, pp. 793–800.
Komaki, F. (2012). Asymptotically minimax Bayesian predictive densities for multinomial models,
Electronic Journal of Statistics, vol. 6, pp. 934–957.
Nomura, S., Y. Ogata, F. Komaki, and S. Toda (2011). Bayesian forecasting
of recurrent earthquakes and predictive performance for a small sample
Journal of Geophysical Research, vol. 116, B04315, doi:10.1029/ 2010JB007917.
Tanaka, F. and Komaki, F. (2011). Asymptotic expansion of the risk difference
of the Bayesian spectral density in the autoregressive moving average model,
Sankhya Series A, vol. 73, pp. 162-184.
Hirose, Y. and Komaki, F. (2010). An extension of least angle regression based on the information geometry of dually flat spaces,
Journal of Computational and Graphical Statistics, vol. 19, 1007-1023.
Inagaki, K. and Komaki, F. (2010). A modification of profile empirical
likelihood for the exponential-tilt model,
Statistics & Probability Letters, vol. 80, 997-1004.
Suzuki, T. and Komaki, F. (2010). On prior selection and covariate shift
of beta-Bayesian prediction under alpha-divergence risk,
Communications in Statistics - Theory and Methods, vol. 39, 1655-1673.
Komaki, F. (2009). Bayesian predictive densities based on superharmonic
priors for the 2-dimensional Wishart model,
Journal of Multivariate Analysis, vol. 100, 2137-2154.
Tanaka, F. and Komaki, F. (2008). A superharmonic prior for the autoregressive process of the second order,
Journal of Time Series Analysis, vol. 29, 444-452.
Nishimura, T. and Komaki, F. (2008). The information geometric structure
of generalized empirical likelihood estimators,
Communications in Statistics - Theory and Methods, vol. 37, 1867-1879.
Sei, T., and Komaki, F. (2008). Information geometry of small diffusions,
Statistical Inference for Stochastic Processes, vol. 11, pp. 123-141.
Komaki, F. (2007). Bayesian prediction based on a class of shrinkage priors for location-scale models,
Annals of the Institute of Statistical Mathematics, vol. 59, 135-146.
Sei, T., and Komaki, F. (2007). Bayesian prediction and model selection
for locally asymptotically mixed normal models,
Journal of Statistical Planning and Inference, vol. 137, 2523-2534.
Komaki, F. (2006). A class of proper priors for Bayesian simultaneous prediction
of independent Poisson observables,
Journal of Multivariate Analysis, vol. 97 1815-1828.
Komaki, F. (2006). Shrinkage priors for Bayesian prediction,
The Annals of Statistics, vol. 34, 808-819.
Kobayashi, K., and Komaki, F. (2006). Information criteria for support vector machines,
IEEE Transactions on Neural Networks, vol. 17, 571-577.
Tanaka, F. and Komaki, F. (2005). Bayesian predictive density operators
for exchangeable quantum statistical models,
Physical Review A, vol. 71, 052323.
Fushiki, T., Komaki, F., and Aihara, K. (2005). Nonparametric bootstrap prediction,
Bernoulli, vol. 11, 293-307.
Fushiki, T., Komaki, F., and Aihara, K. (2004). On parametric bootstrapping
and Bayesian prediction,
Scandinavian Journal of Statistics, vol. 31, 403-416.
Komaki, F. (2004). Simultaneous prediction of independent Poisson observables,
The Annals of Statistics, vol. 32, 1744-1769.
Komaki, F. (2004). Noninformative priors for prediction based on group models,
in R. Fischer, R. Preuss, and U. von Toussaint (eds.),
Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany 2004,
AIP Conference Proceedings, American Institute of Physics, Melville, 525-532.
Tanaka, F., and Komaki, F. (2003). The sectional curvature of AR model
Tensor, vol. 64, 131-143.
Komaki, F. (2002). Bayesian predictive distribution with right invariant
Calcutta Statistical Association Bulletin, vol. 52, 171-179.
Komaki, F. (2001). A shrinkage predictive distribution for multivariate normal observables,
Biometrika, vol. 88, 859-864.
Komaki, F.(2000). The theory of Predictive Distributions.
The Transacion of the Institute of Electronics, Information and Communication Engineers A, Vol. J83-A, 612-619, (in Japanese).
Komaki, F. (1999). An estimating method for parametric spectral densities
of Gaussian time series.
Journal of Time Series Analysis, vol. 20, 31-50.
Komaki. F. (1996). On asymptotic properties of predictive distributions.
Biometrika, vol. 83, 299-313.
Komaki, F. (1996). Homogeneous Gaussian Markov processes on general lattices.
Advances in Applied Probability, vol. 28, 189-206.
Komaki, F. (1993). State-space modelling of time series sampled from continuous
processes with pulses.
Biometrika, vol. 80, 417-429.
Komaki, F. and Itoh, Y. (1992). A unified model for Kakutani's interval
splitting and Renyi's random packing.
Advances in Applied Probability, vol. 24, 502-505.
Ozaki, T., and Komaki, F. (1991). Statistical Identification of Nonlinear Systems with Application to Riverflow Prediction.
Systems, Control and Information, Vol. 35, 331-341, (in Japanese).