Results 161 to 170 of about 27,670 (236)

Climate modeling for South Asia: statistical and deep learning for rainfall and temperature prediction. [PDF]

Sci Rep
Mishra P, Ray S, Lal P, Nair SB, Matuka A, Tashkandy Y, Emam W.   +6 more
europepmc   +1 more source

Modified Kumaraswamy seasonal autoregressive moving average models with exogenous regressors for double-bounded hydro-environmental data. [PDF]

PLoS One
Armanini Stefanan A, Sagrillo M, Palm BG, Bayer FM.   +3 more
europepmc   +1 more source

Multiscale neural dynamics in sleep transition volatility across age scales: a multimodal EEG-EMG-EOG analysis of temazepam effects. [PDF]

Geroscience
Sirpal P, Sikora WA, Refai HH.
europepmc   +1 more source

MODEL THRESHOLD AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY UNTUK PEMODELAN HARGA EMAS

, 2015
Pada data finansial umumnya memiliki variansi residual yang berubah-ubah atau terjadi heteroskedastisitas. Untuk mengatasi heteroskedastisitas dalam data deret waktu digunakan model ARCH/GARCH. Setelah diketahui model ARCH/GARCH akan dilakukan uji pengaruh asimetrik dengan cross correlation.
openaire   +1 more source

Early warning of hepatitis B epidemics in Henan Province, China, from 2014 to 2023 based on Baidu Index and Bayesian Structural Time Series model. [PDF]

Arch Public Health
Wang Y, Lan X, Hu P, Lin F, Xu C.
europepmc   +1 more source

A Predictive and Adaptive Virtual Exposure Framework for Spider Fear: A Multimodal VR-Based Behavioral Intervention. [PDF]

Healthcare (Basel)
Mohamed HG, Khan MN, Tahir M, Ismat N, Zaffar A, Naseer F, Ali S.   +6 more
europepmc   +1 more source

High-frequency enhanced VaR: A robust univariate realized volatility model for diverse portfolios and market conditions. [PDF]

PLoS One
Kuang W.
europepmc   +1 more source

Nexus of crude oil and clean energy stock indices: Evidence from time-vector-auto-regression in conjunction with conditional-autoregressive-value-at-risk. [PDF]

Heliyon
Trabelsi N, Tiwari AK, Ghallabi F, Khemakhem I.   +3 more
europepmc   +1 more source

Heteroscedasticity effects as component to future stock market predictions using RNN-based models. [PDF]

PLoS One
Sadon AN, Ismail S, Khamis A, Tariq MU.
europepmc   +1 more source

Rupiah exchange rate prediction against the US Dollar using a deep neural network with a multi-output sliding window approach. [PDF]

MethodsX
Amri IF, Yunanita N, Lestari FA, Dhani OR.   +3 more
europepmc   +1 more source