Results 191 to 200 of about 45,225 (247)

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Correction: Assessment of spatial and seasonal variation in soil heavy metal contamination adjacent to Chini Lake, Malaysia. [PDF]

Environ Geochem Health
Islam MS, Hassan FU, Toriman ME, Ahmad R, Bashir MA, Rehim A, Raza QU.   +6 more
europepmc   +1 more source

Regime‐Dependent Nowcasting of the Austrian Economy

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley   +1 more source

Strengthening the health systems at national level for malaria elimination in the Greater Mekong Subregion countries: a qualitative study. [PDF]

Infect Dis Poverty
Htike W, Oo WH, Bennett CM, Agius PA, Barry AE, Fowkes FJI.   +5 more
europepmc   +1 more source

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

Journal of Forecasting, EarlyView.
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

African leaders and regional institutions need to take the bull by the horns: a perspective on the impact of the 2025 funding cuts to malaria programmes. [PDF]

Malar J
Osoro CB, Hill J.
europepmc   +1 more source

Scientific support for preparing an EU position in the 56th Session of the Codex Committee on Pesticide Residues (CCPR). [PDF]

EFSA J
EFSA (European Food Safety Authority).
europepmc   +1 more source

Modification of the existing maximum residue levels for acetamiprid in various crops and honey. [PDF]

EFSA J
European Food Safety Authority (EFSA), Bellisai G, Bernasconi G, Cabrera LC, Castellan I, Del Aguila M, Ferreira L, Greco L, Leuschner R, Mioč A, Nave S, Reich H, Ruocco S, Scarlato AP, Szot M, Theobald A, Tiramani M, Verani A, Zioga E.   +18 more
europepmc   +1 more source

Setting of import tolerances for dimethomorph in grapes. [PDF]

EFSA J
EFSA (European Food Safety Authority), Bellisai G, Bernasconi G, Cabrera LC, Castellan I, Del Aguila M, Ferreira L, Greco L, Leuschner R, Mioč A, Nave S, Reich H, Ruocco S, Scarlato AP, Szot M, Theobald A, Tiramani M, Verani A, Zioga E.   +18 more
europepmc   +1 more source