Results 171 to 180 of about 51,738 (285)

Opioid-related emergency department visits in Saudi Arabia: an interrupted time series analysis of visit patterns pre-COVID-19 and post-COVID-19. [PDF]

BMJ Public Health
Alroba R, Alfakhri A, Aldoughaim M, Aldamiri K, Alrogi N, Alboug K, Gado A, Althunian T, Almadani O.   +8 more
europepmc   +1 more source

Forecasting an ARIMA (0,2,1) using the random walk model with drift

In this paper we show that the random walk model with drift behaves like an ARIMA (0,2,1) when its parameter θ is greater but close to –1. Using the random walk for predicting future values of an ARIMA (0,2,1) process, we find out that when θ is not so ...
Halkos, George, Kevork, Ilias
core  

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, Volume 45, Issue 4, Page 2059-2077, July 2026.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Analysis and Prediction of the Earthquake Frequency Sequence in the Anninghe Fault Zone Based on the SARIMA Model. [PDF]

Entropy (Basel)
Fang X, Xue Y.
europepmc   +1 more source

Global Burden of Premenstrual Syndrome and Uterine Fibroids in Women of Reproductive Age (1990–2023) and Projections to 2050: An Analysis of the Global Burden of Disease Study 2023

Health Science Reports, Volume 9, Issue 7, July 2026.
ABSTRACT Background Premenstrual syndrome (PMS) and uterine fibroids (UF) are major gynecological diseases that markedly affect the reproductive health of women of reproductive age (WRA). This study aimed to provide updated global estimates of these disorders among WRA (15–49 years) between 1990 and 2023 and to forecast future trends. Methods Data from
Ding Xiaoli, Yang Qiang, Wang Jun, Nawsherwan, Li Shuang   +4 more
wiley   +1 more source

Sensor-Based Ozone Monitoring and Forecasting in a Synchrotron Radiation Laboratory Using Autoregressive Integrated Moving Average Models. [PDF]

Sensors (Basel)
Wen PJ, Wu KW, Ho LC, Yang CH, Tsai TH, Fang SH.   +5 more
europepmc   +1 more source

Forecasting Inflation in Developing Nations: The Case of Pakistan

This study attempts to outline the practical steps which need to be undertaken to use autoregressive integrated moving average (ARIMA) time series models for forecasting Pakistan’s inflation. A framework for ARIMA forecasting is drawn up. On the basis of
Feridun, Mete
core  

Bayesian tools for phylogenetic studies

, 2008
Phylogenetics aims at inferring the tree that better represents the evolutionary relationships among species studying differences and similarities in DNA sequences in different taxonomies.
ARIMA, SERENA, Luca Tardella, Serena Arima, TARDELLA, Luca   +3 more
core  

French Consumption of Methylphenidate in Primary Care From 2016 to 2023, Impact of Prescribing Policy Changes—A Time‐Series Analysis

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 7, July 2026.
ABSTRACT Purpose In France, methylphenidate, mainly used in the treatment of ADHD, has been subject to prescription restrictions that were relaxed at the end of 2021. This study analyses trends in methylphenidate consumption in France and examines changes following the modification to prescribing rules in 2021.
Claire Saudreau, Vincent Tarazona, David De Bandt   +2 more
wiley   +1 more source

A stacked ensemble model with NNLS-based weighting for influenza forecasting: a case study of Anhui Province, China. [PDF]

Front Public Health
Zhu Q, Zhu M, Cai Y, Xiang J, Li S, Zhu B, Zhu M, Gong L, Hou S, He J, Yu J, Wu J.   +11 more
europepmc   +1 more source