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JSTOR Daily6y

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 Daily5y

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 ...
Harvard Business School6y

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 School8y

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).
ascopubs.org2y

Time Series Prediction of Lung Cancer Death Rates on the Basis of SEER Data

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology Three models for yearly time series predictions were built: autoregressive integrated ...