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Conditional independence and linear programming

Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models

Nonlinear Principal Component Analysis and Its Applications

Survival Analysis with Correlated Endpoints : Joint Frailty-Copula Models

Characterizing Interdependencies of Multiple Time Series : Theory and Applications

Pioneering Works on Distribution Theory : In Honor of Masaaki Sibuya

Diagnostic Methods in Time Series

ANOVA with dependent errors

Computation of Greeks using the discrete Malliavin calculus and binomial tree

Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Shrinkage Estimation for Mean and Covariance Matrices

Mixed-effects models and small area estimation

Statistical causal discovery : LiNGAM approach

Stability of Markov Chain Monte Carlo methods

Separating Information Maximum Likelihood Method for High-Frequency Financial Data

Time series modeling for analysis and control : advanced autopilot and monitoring systems

Stein estimation

Stein Estimation

Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance

Indexation and causation of financial markets : nonstationary time series analysis method

Modern Dose-Finding Designs for Cancer Phase I Trials: Drug Combinations and Molecularly Targeted Agents

Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics

Shrinkage Estimation for Mean and Covariance Matrices

Dose-finding Designs for Early-phase Cancer Clinical Trials: A Brief Guidebook to Theory and Practice

Pairwise Multiple Comparisons: Theory and Computation

Non-Asymptotic Analysis of Approximations for Multivariate Statistics

Survival analysis with correlated endpoints: joint frailty-copula models

Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Modern dose-finding designs for cancer phase I trials: drug combinations and molecularly targeted agents

Mixed-Effects Models and Small Area Estimation

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