Makio Ishiguro

发表

Cidal Data Analysis and Information Criteria

Makio Ishiguro, 2001 .

Identification of the stability control systems of the running two-wheeled vehicle.

Makio Ishiguro, Kazuhiko Hirayama, Takio Ooya, 1991 .

Detection and Visualization Method of Dynamic State Transition for Biological Spatio-Temporal Imaging Data

Fumikazu Miwakeichi, Yoshiyasu Tamura, Makio Ishiguro, 2011, IEEE Transactions on Medical Imaging.

Parametric Modeling Analysis of Optical Imaging Data on Neuronal Activities in the Brain

Yoshiyasu Tamura, Makio Ishiguro, Fumikazu Miwakeichi, 2010 .

Human Sleep Electroencephalogram Analysis Based on The Instantaneous Maximum Entropy Method (Special Section on Signal Processing for Nonstationary Processes Based on Modelling)

Nobuhide Hirai, Yumi Takizawa, Makio Ishiguro, 1997 .

Standardization of Size, Shape and Internal Structure of Spinal Cord Images: Comparison of Three Transformation Methods

Yoshiyasu Tamura, Makio Ishiguro, Yoshitaka Oku, 2013, PloS one.

A novel statistical analysis of voltage-imaging data by structural time series modeling and its application to the respiratory neuronal network

Makio Ishiguro, Yoshitaka Oku, Fumikazu Miwakeichi, 2009, Neuroscience Research.

A Traffic Decomposition and Prediction Method for Detecting and Tracing Network-Wide Anomalies

Yusheng Ji, Shunji Abe, Ping Du, 2009, IEICE Trans. Inf. Syst..

Analysis of brain electroencephalograms with the instantaneous maximum entropy method

Atsushi Fukasawa, Yumi Takizawa, Makio Ishiguro, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Dual oscillator model of the respiratory neuronal network generating quantal slowing of respiratory rhythm

Fumikazu Miwakeichi, Yoshiyasu Tamura, Amit Lal, 2010, Journal of Computational Neuroscience.

Detecting and Tracing Traffic Volume Anomalies in SINET3 Backbone Network

Yusheng Ji, Shunji Abe, Ping Du, 2008, 2008 IEEE International Conference on Communications.

Analysis of a Human/2-wheeled-Vehicle System by ARdock

Makio Ishiguro, Takio Oya, 1999 .

A standardization method of voltage-imaging data that enables to average and compare spatio-temporal neuronal activities obtained from different samples

Makio Ishiguro, Yoshitaka Oku, Yasumasa Okada, 2010, Neuroscience Research.

Extended information criterion (EIC) approach for linear mixed effects models under restricted maximum likelihood (REML) estimation

Makio Ishiguro, Akifumi Yafune, M. Ishiguro, 2005, Statistics in medicine.

The forecasting of menstruation based on a state‐space modeling of basal body temperature time series

Makio Ishiguro, Keiichi Fukaya, Masumi Kitazawa, 2016, Statistics in medicine.

A multivariate stochastic model with non‐stationary trend component

Makio Ishiguro, M. Ishiguro, H. Kato, 1995 .

A Note on Sample Size Determination for Akaike Information Criterion (AIC) Approach to Clinical Data Analysis

Makio Ishiguro, Mamoru Narukawa, Akifumi Yafune, 2005 .

COMPUTATIONALLY EFFICIENT IMPLEMENTATION OF A BAYESIAN SEASONAL ADJUSTMENT PROCEDURE

Makio Ishiguro, 1984 .

A bayesian approach to the probability density estimation

Makio Ishiguro, M. Ishiguro, Y. Sakamoto, 1984 .

A bayesian multivariate nonstationary time series model for estimating mutual relationships among variables

Makio Ishiguro, Hiroko Kato, Sadao Naniwa, 1996 .

Construction of Time Series Analysis Model Effective for Forecast of Fishing and Oceanographic Conditions

Makio Ishiguro, Yoshiharu Matsumiya, Kazumi Sakuramoto, 1995 .

Trend estimation with missing observations

Hirotugu Akaike, Makio Ishiguro, H. Akaike, 1980 .

A self‐excited threshold autoregressive state‐space model for menstrual cycles: Forecasting menstruation and identifying within‐cycle stages based on basal body temperature

Makio Ishiguro, Keiichi Fukaya, Masumi Kitazawa, 2017, Statistics in medicine.

A self-excited threshold autoregressive state-space model for menstrual cycles: forecasting menstruation and identifying ovarian phases based on basal body temperature

Makio Ishiguro, Keiichi Fukaya, Masumi Kitazawa, 2017 .