JSTOR Daily

ADAPTIVE BASIS SELECTION FOR EXPONENTIAL FAMILY SMOOTHING SPLINES WITH APPLICATION IN JOINT MODELING OF MULTIPLE SEQUENCING SAMPLES

Second-generation sequencing technologies have replaced array-based technologies and become the default method for genomics and epigenomics analysis. Second-generation sequencing technologies sequence ...
JSTOR Daily

Multivariate Exponential Smoothing and Dynamic Factor Model Applied to Hourly Electricity Price Analysis

Thanks to its very simple recursive computing scheme, exponential smoothing has become a popular technique to forecast time series. In this work, we show the advantages of its multivariate version and ...
Simon Fraser University

Smoothing Model Specification Window

Use the Smoothing Model Specification window to specify and fit exponential smoothing and Winters method models. Access it from the Develop Models window using the Fit Model submenu of the Edit ...
Harvard Business School

Quantile Forecasts of Product Life Cycles Using Exponential Smoothing.

Guo, Xiaojia, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne. "Quantile Forecasts of Product Life Cycles Using Exponential Smoothing." Harvard Business School Working Paper, No. 19-038, October ...
Harvard Business School

A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression

Crane, D. B., and James R. Crotty. "A Two-Stage Forecasting Model: Exponential Smoothing and Multiple Regression." Management Science 13, no. 8 (April 1966).
Simon Fraser University

Develop Models Window

In the first forecasting example, you used the Automatic Model Fitting window to fit and select the forecasting model for each series automatically. In addition to this automatic forecasting process, ...