Forecasting Carbon Prices: A Literature Review
Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Nonparametric Quantile Regressions for Panel Data Models with Large T [PDF]
, 2019 Liang Chen
openalex +1 more source
Efficient Estimation of Semiparametric Conditional Moment Models with Possibly Nonsmooth Residuals [PDF]
This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (theta) and unknown functions (h) of endogenous variables.
Demian Pouzo, Xiaohong Chen
core
Seasonal Decomposition‐Enhanced Deep Learning Architecture for Probabilistic Forecasting
Journal of Forecasting, Volume 45, Issue 2, Page 880-891, March 2026.ABSTRACT Time series decomposition as a general preprocessing method has been widely used in the field of time series forecasting. However, since the future is unknown, this preprocessing practice is limited in realistic forecasting, especially in real‐time forecasting scenarios.
Keyan Jin +1 more
wiley +1 more source
Bayesian Composite Quantile Regression with Additive Regression Trees: A Robust Nonparametric Framework for Conditional Distribution Estimation [PDF]
Samiksha Chakule +2 more
openalex +1 more source
Calorie and Nutrient Consumption as a Function of Income: A Cross-Country Analysis [PDF]
The relationship between calorie and nutrient (fat, protein, and carbohydrates) intake as a function of income is explored using data for 171 countries over two time periods 1990-1992 and 2003-2005. Three types of analysis are employed: i) nonparametric,
Balcombe, Kelvin +2 more
core +1 more source
No News Is Good News Testing Modality and Redundancy in Immersive Augmented Reality
Journal of Computer Assisted Learning, Volume 42, Issue 1, February 2026.ABSTRACT Background The modality and redundancy principles are well‐established within the cognitive theory of multimedia learning for their effectiveness in traditional media. However, previous studies applying these principles in virtual reality have shown contradictory results when immersive technologies are involved.
Vito Candido +3 more
wiley +1 more source
Journal of Cachexia, Sarcopenia and Muscle, Volume 17, Issue 1, February 2026.ABSTRACT Background Critically ill patients requiring intensive care unit (ICU) admission suffer from muscle weakness that persists for years. Recently, altered RNA expression was documented in muscle of former ICU patients 5 years after critical illness that suggested disrupted mitochondrial function, disturbed lipid metabolism and fibrosis, of which ...
Ceren Uzun Ayar +4 more
wiley +1 more source
Nonparametric quantile regression for twice censored data [PDF]
, 2010 Stanislav Volgushev, Holger Dette
openalex +1 more source
An Empirical Analysis of Constrained Support Vector Quantile Regression\n for Nonparametric Probabilistic Forecasting of Wind Power [PDF]
, 2018 Kostas Hatalis +3 more
openalex +2 more sources