Yuta Koike
- Improved Central Limit Theorem and bootstrap approximations in high dimensions
2019/12/22 by Victor Chernozhukov, Chernozhukov, Victor, Denis Chetverikov +5 · 5 citations
Computer Science · Mathematics · #Econometrics (econ.EM) #FOS: Economics and business #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- Nearly optimal central limit theorem and bootstrap approximations in high dimensions
2020/12/17 by Victor Chernozhukov, Denis Chetverikov, Chernozhukov, Victor +3 · 3 citations
Mathematics · #Random Matrices and Applications #Statistical Methods and Inference #Markov Chains and Monte Carlo Methods
- High-dimensional Data Bootstrap
2022/05/19 by Victor Chernozhukov, Denis Chetverikov, Chernozhukov, Victor +5 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Econometrics (econ.EM) #FOS: Economics and business #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Statistics Theory (math.ST)
- High-dimensional Central Limit Theorems by Stein's Method
2020/01/29 by Xiao Fang, Yuta Koike, Fang, Xiao +1 · 2 citations
Mathematics · #60F05 #62E17 #FOS: Mathematics #Geometry and complex manifolds #Point processes and geometric inequalities #Probability (math.PR) #Random Matrices and Applications #Statistics Theory (math.ST)
- New error bounds in multivariate normal approximations via exchangeable pairs with applications to Wishart matrices and fourth moment theorems
2020/04/05 by Xiao Fang, Yuta Koike, Fang, Xiao +1 · 2 citations
Computer Science · Mathematics · #60F05 #62E17 #Complexity and Algorithms in Graphs #FOS: Mathematics #Mathematical Approximation and Integration #Point processes and geometric inequalities #Probability (math.PR)
- Sharp High-dimensional Central Limit Theorems for Log-concave Distributions
2022/07/29 by Xiao Fang, Yuta Koike, Fang, Xiao +1 · 2 citations
Mathematics · #Point processes and geometric inequalities #Markov Chains and Monte Carlo Methods #Geometric Analysis and Curvature Flows
- High-dimensional central limit theorems for homogeneous sums
2019/02/11 by Yuta Koike, Koike, Yuta · 1 citation
Decision Sciences · Mathematics · #47D07 #60F05 #62E17 #Analytic Number Theory Research #FOS: Mathematics #Mathematical Inequalities and Applications #Probability (math.PR) #Probability and Risk Models #Statistics Theory (math.ST)
- Large-dimensional Central Limit Theorem with Fourth-moment Error Bounds on Convex Sets and Balls
2020/09/01 by Xiao Fang, Yuta Koike, Fang, Xiao +1 · 1 citation
Computer Science · Mathematics · #60F05 #62E17 #Bayesian Methods and Mixture Models #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Probability (math.PR) #Statistics Theory (math.ST)
- Adaptive deep learning for nonlinear time series models
2022/07/06 by Daisuke Kurisu, Kurisu, Daisuke, Riku Fukami +3 · 1 citation
Computer Science · Decision Sciences · Engineering · #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Neural Networks and Applications #Statistics Theory (math.ST) #Stock Market Forecasting Methods
- High-dimensional Central Limit Theorems by Stein's Method in the Degenerate Case
2023/05/27 by Xiao Fang, Yuta Koike, Fang, Xiao +5 · 1 citation
Mathematics · #60F05 #62E17 #Advanced Combinatorial Mathematics #FOS: Mathematics #Point processes and geometric inequalities #Probability (math.PR) #Random Matrices and Applications #Statistics Theory (math.ST)