Results 221 to 230 of about 281,081 (285)
Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes. [PDF]
J Am Stat Assoc, 2013 Zhu B, Dunson DB.
europepmc +1 more source
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 +3 more
wiley +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
Journal of Forecasting, EarlyView.ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
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 +2 more
wiley +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
Journal of Forecasting, EarlyView.ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
A nonparametric regression method for multiple longitudinal phenotypes using multivariate adaptive splines. [PDF]
Front Math China, 2013 Zhu W, Zhang H.
europepmc +1 more source
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 +2 more
wiley +1 more source
New Local Estimation Procedure for Nonparametric Regression Function of Longitudinal Data. [PDF]
J R Stat Soc Series B Stat Methodol, 2013 Yao W, Li R.
europepmc +1 more source
Further Findings on the Intergenerational Transmission of Alcohol Consumption
Health Economics, EarlyView.ABSTRACT Using 43,817 parent–child pairs from 23 waves of the HILDA Survey, I study the intergenerational transmission of alcohol use within a rational model of trait transmission. Transmission is predominantly same‐sex: the mother–daughter elasticity is 0.10 and the father–son elasticity is 0.09; there is no father–daughter effect.
Sergey Alexeev
wiley +1 more source