Asymptotic Behavior of Posterior Distribution for Random Processes under Incorrect Models. - Keigo Yamada (Optimization Techniques, 1975)

Continuity Theorems in Stochastic Control Problems. - Keigo Yamada (Math. Oper. Res., 1982)

Diffusion Approximations for Storage Processes with General Release Rules. - Keigo Yamada (Math. Oper. Res., 1984)

Data-driven sparse sensor placement based on A-optimal design of experiment with ADMM. - Takayuki Nagata; Taku Nonomura; Kumi Nakai; Keigo Yamada; Yuji Saito; Shunsuke Ono (CoRR, 2020)

Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization. - Kumi Nakai; Keigo Yamada; Takayuki Nagata; Yuji Saito; Taku Nonomura (IEEE Access, 2021)

Determinant-Based Fast Greedy Sensor Selection Algorithm. - Yuji Saito; Taku Nonomura; Keigo Yamada; Kumi Nakai; Takayuki Nagata; Keisuke Asai; Yasuo Sasaki; Daisuke Tsubakino (IEEE Access, 2021)

Greedy Sensor Placement for Weighted Linear-Least Squares Estimation under Correlated Noise. - Keigo Yamada; Yuji Saito; Taku Nonomura; Keisuke Asai (CoRR, 2021)

Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise. - Keigo Yamada; Yuji Saito; Taku Nonomura; Keisuke Asai (IEEE Access, 2022)

Data-Driven Sensor Selection Method Based on Proximal Optimization for High-Dimensional Data With Correlated Measurement Noise. - Takayuki Nagata; Keigo Yamada; Taku Nonomura; Kumi Nakai; Yuji Saito; Shunsuke Ono (IEEE Trans. Signal Process., 2022)

Nondominated-Solution-Based Multi-Objective Greedy Sensor Selection for Optimal Design of Experiments. - Kumi Nakai; Yasuo Sasaki; Takayuki Nagata; Keigo Yamada; Yuji Saito; Taku Nonomura (IEEE Trans. Signal Process., 2022)

Sensor Selection by Greedy Method for Linear Dynamical Systems: Comparative Study on Fisher-Information-Matrix, Observability-Gramian and Kalman-Filter-Based Indices. - Shun Takahashi; Yasuo Sasaki; Takayuki Nagata; Keigo Yamada; Kumi Nakai; Yuji Saito; Taku Nonomura (IEEE Access, 2023)

Efficient Sensor Node Selection for Observability Gramian Optimization. - Keigo Yamada; Yasuo Sasaki; Takayuki Nagata; Kumi Nakai; Daisuke Tsubakino; Taku Nonomura (Sensors, 2023)