Distributed ARIMA models for ultra-long time series

Forecasting: theory and practice

(2022) Fotios Petropoulos et al.   INTERNATIONAL JOURNAL OF FORECASTING

The uncertainty estimation of feature-based forecast combinations

(2021) Xiaoqian Wang et al.   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Least Squares Approximation for a Distributed System

(2021) Xuening Zhu et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating

(2021) Rui Pan et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

Predictive Inference for Locally Stationary Time Series With an Application to Climate Data

(2020) Srinjoy Das et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

(2020) Yanfei Kang et al.   Statistical Analysis and Data Mining

Forecasting with time series imaging

(2020) Xixi Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Distributed inference for quantile regression processes

(2019) Stanislav Volgushev et al.   ANNALS OF STATISTICS

Distributed estimation of principal eigenspaces

(2019) Jianqing Fan et al.   ANNALS OF STATISTICS

Quantile regression under memory constraint

(2019) Xi Chen et al.   ANNALS OF STATISTICS

A novel spark-based multi-step forecasting algorithm for big data time series

(2018) A. Galicia et al.   INFORMATION SCIENCES

Communication-Efficient Distributed Statistical Inference

(2018) Michael I. Jordan et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Big data time series forecasting based on nearest neighbours distributed computing with Spark

(2018) R. Talavera-Llames et al.   KNOWLEDGE-BASED SYSTEMS

Time series decomposition and predictive analytics using MapReduce framework

(2018) Mininath Bendre et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Bayesian Framework for Distributed Estimation of Arrival Rates in Asynchronous Networks

(2016) Angelo Coluccia et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Grouped Functional Time Series Forecasting: An Application to Age-Specific Mortality Rates

(2016) Han Lin Shang et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS

(2015) Rodrigo N. Calheiros et al.   IEEE Transactions on Cloud Computing

Automatic Time Series Forecasting: TheforecastPackage forR

(2015) Rob J. Hyndman et al.   Journal of Statistical Software

A scalable bootstrap for massive data

(2014) Ariel Kleiner et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Statistical methods with varying coefficient models

(2013) Jianqing Fan et al.   Statistics and Its Interface

High-dimensional covariance matrix estimation in approximate factor models

(2012) Jianqing Fan et al.   ANNALS OF STATISTICS

Optimal combination forecasts for hierarchical time series

(2011) Rob J. Hyndman et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

(2010) Marc A. Suchard et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

High dimensional covariance matrix estimation using a factor model

(2008) Jianqing Fan et al.   JOURNAL OF ECONOMETRICS