Results 191 to 200 of about 28,744 (310)

The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
wiley   +1 more source

Sparse Warcasting

open access: yesScottish Journal of Political Economy, EarlyView.
ABSTRACT Forecasting economic activity during institutional collapse requires nowcasts derived exclusively from alternative data sources. Such sources are abundant yet theoretically unanchored and potentially weakly informative. This study examines whether sparse supervised dimension reduction extracts reliable signals in a context rich in data but ...
Mihnea Constantinescu
wiley   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos   +11 more
wiley   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky   +2 more
wiley   +1 more source

Early‐Life Antecedents of Distrust and Social Isolation in Adolescence: A Large‐Scale, Exploratory Analysis of the UK's Millennium Cohort Study

open access: yesSocial Development, Volume 35, Issue 3, August 2026.
ABSTRACT Adolescence is a period when interpersonal distrust and perceived social isolation become significant risk factors for adverse psychosocial outcomes. However, there is limited longitudinal evidence quantifying the relative importance of early‐life antecedents of these risk factors.
Dimitris I. Tsomokos   +2 more
wiley   +1 more source

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