Nature

Continuous-Time Autoregressive Moving Average Processes

Continuous-Time Autoregressive Moving Average (CARMA) processes extend the classical discrete-time ARMA framework to continuous time, offering a flexible modelling approach for phenomena where ...
JSTOR Daily

A Fast Algorithm for the Exact Likelihood of Stationary and Partially Nonstationary Vector Autoregressive-Moving Average Processes

This is a preview. Log in through your library . Abstract An expression for the likelihood function of a stationary vector autoregressive-moving average process is developed. The expression is very ...
JSTOR Daily

A Note on the Estimation of the Parameters of the Autoregressive-Moving Average Process

This is a preview. Log in through your library . Abstract Patterson & Thompson (1971) have described a modified maximum likelihood technique for estimating variance components in the additive mixed ...
ascopubs.org

Is the incidence of breast cancer increasing? Using the NCDB and autoregressive integrated moving average models (ARIMA) to forecast breast cancer to 2030.

Meta-analysis and single-center experience on the comprehensive genomic characterization and landscape of BRCA1 and BRCA2 in Turkey. This is an ASCO Meeting Abstract from the 2020 ASCO Annual Meeting ...
InfoWorld

Time series forecasting with ARMA and InfluxDB

Autoregressive moving average models have a number of advantages including simplicity. Here’s how to use an ARMA model with InfluxDB. An ARMA or autoregressive moving average model is a forecasting ...
ascopubs.org

Forecasting incidence and mortality rates of prostate cancer in older adults using autoregressive integrated moving average (ARIMA).

Prevalence of obesity/overweight and its relationship with incidence of pancreatic cancer in the US states using BRFSS and CDC WONDER database of 2021.
pv magazine International

Stochastic optimization for PV-powered EV charging stations

Scientists have developed a new optimization approach that combines both day-ahead optimization and real-time optimization to improve operations of PV-driven EV charging stations. The framework is ...