Results 191 to 200 of about 74,761 (297)

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

Changes in rehabilitation service utilisation during COVID-19 bed surges in Japan: a seasonal autoregressive integrated moving average (SARIMA) analysis of care utilisation with 10-year claims data. [PDF]

BMJ Open
Egashira Y, Watanabe R.
europepmc   +1 more source

Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis.

J Med Internet Res, 2023
Luo T, Zhou J, Yang J, Xie Y, Wei Y, Mai H, Lu D, Yang Y, Cui P, Ye L, Liang H, Huang J.   +11 more
europepmc   +1 more source

Identifikasi bias metode jackknife pada model autoregressive integrated moving average [PDF]

, 2019
Iffana Intanlya Fauzie
openalex  

Baidu index-based forecast of daily tourist arrivals through rescaled range analysis, support vector regression, and autoregressive integrated moving average

, 2020
Lifei Yao, Ruimin Ma, Hua Wang
openalex   +1 more source

Time series analysis and forecasting of cholera disease using discrete wavelet transform and seasonal autoregressive integrated moving average model

, 2023
Ahmad Hauwa Amshi, Rajesh Prasad
openalex   +1 more source

On the Comovement of Contango and Backwardation Across Futures Commodity Markets

Journal of Futures Markets, EarlyView.
ABSTRACT We examine the time‐varying nature of the comovement of the slope of the futures curve in major agricultural, metals and energy commodity futures markets in a Global Vector Autoregressive model. We find significant comovement between the slopes, indicating the co‐existence of backwardation and contango in many seemingly unrelated commodity ...
Angelo Luisi, Francesco Roccazzella, Athanasios Triantafyllou   +2 more
wiley   +1 more source

A Seasonal Autoregressive Integrated Moving Average (SARIMA) forecasting model to predict the epidemic trends of scrub typhus in China. [PDF]

PLoS One
Peng PY, Duan HY, Xu L, Sun JQ, Ma LJ, Zu Y, Yan TL.   +6 more
europepmc   +1 more source

Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes. [PDF]

Int J Environ Res Public Health, 2021
Watson L, Qi S, DeIure A, Link C, Chmielewski L, Hildebrand A, Rawson K, Ruether D.   +7 more
europepmc   +1 more source

Pemodelan dan Peramalan Harga Kopi Robusta Menggunakan Autoregressive Integrated Moving Average (ARIMA) dengan EViews

Nurul fazirah, Erizky Elsa Wisnuna, Muslihah Muslihah, Achmad Zakaria, Achmad Budi Susetyo   +4 more
openalex   +2 more sources