Your search for JSS Research Series in Statistics

Minimum Gamma-Divergence for Regression and Classification Problems

Econometrics, Finance, and Time Series Analysis

Statistical Causal Discovery: LiNGAM Approach

Statistical Methods for Imbalanced Data in Ecological and Biological Studies

Dose-Finding Designs for Early-Phase Cancer Clinical Trials

Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics

Separating Information Maximum Likelihood Method for High-Frequency Financial Data

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

Time Series Modeling for Analysis and Control

Indexation and Causation of Financial Markets

Modern Methodology and Applications in Spatial-Temporal Modeling

Theoretical Aspects of Spatial-Temporal Modeling

Applied Matrix and Tensor Variate Data Analysis

Algebraic and Computational Aspects of Real Tensor Ranks

Group-Sequential Clinical Trials with Multiple Co-Objectives

Consistency of an Information Criterion for High-Dimensional Multivariate Regression

Minimum Gamma-Divergence for Regression and Classification Problems

The SIML Filtering Method for Noisy Non-stationary Economic Time Series

Shrinkage Estimation for Mean and Covariance Matrices

Copula-Based Markov Models for Time Series