Results 121 to 130 of about 87,896 (215)

Compression theory for inhomogeneous systems. [PDF]

open access: yesNat Commun
Gökmen DE   +5 more
europepmc   +1 more source

PREDICTIVE DENSITY COMBINATION USING BAYESIAN MACHINE LEARNING

open access: yesInternational Economic Review, EarlyView.
Abstract Based on agent opinion analysis theory, Bayesian predictive synthesis (BPS) is a framework for combining predictive distributions in the face of model uncertainty. In this article, we generalize existing parametric implementations of BPS by showing how to combine competing probabilistic forecasts using interpretable Bayesian tree‐based machine
Tony Chernis   +4 more
wiley   +1 more source

Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time-To-Event Outcomes. [PDF]

open access: yesStat Med
Talbot D   +13 more
europepmc   +1 more source

The Unemployment‐Risk Channel in Business‐Cycle Fluctuations

open access: yesInternational Economic Review, EarlyView.
ABSTRACT The unemployment‐risk channel (URC) amplifies an initial contraction through a reduction in consumption demand by workers who fear unemployment. Crucial for this are the dynamics of job separations and firm hiring. In US data, the job‐finding rate responds slower to identified macroeconomic shocks than the separation rate, but accounts for a ...
Tobias Broer   +3 more
wiley   +1 more source

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions

open access: yesInternational Statistical Review, EarlyView.
Summary In recent years, reinforcement learning (RL) has acquired a prominent position in health‐related sequential decision‐making problems, gaining traction as a valuable tool for delivering adaptive interventions (AIs). However, in part due to a poor synergy between the methodological and the applied communities, its real‐life application is still ...
Nina Deliu   +2 more
wiley   +1 more source

Data-driven total organic carbon prediction using feature selection methods incorporated in an automated machine learning framework. [PDF]

open access: yesSci Rep
Macêdo BDS   +7 more
europepmc   +1 more source

Bayesian Recursive and Structural Equation Models to Infer Causal Links Among Gait Visual Scores on Campolina Horses

open access: yesJournal of Animal Breeding and Genetics, EarlyView.
ABSTRACT Gait visual scores are widely applied to horse breeding because they are a fast and easy phenotyping strategy, allowing the numeric interpretation of a complex biological process such as gait quality. However, they may suffer from subjectivity or high environmental influence.
Fernando Bussiman   +9 more
wiley   +1 more source

Sequential Reservoir Computing for Log File‐Based Behavior Process Data Analyses

open access: yesJournal of Educational Measurement, EarlyView.
Abstract The use of process data in assessment has gained attention in recent years as more assessments are administered by computers. Process data, recorded in computer log files, capture the sequence of examinees' response activities, for example, timestamped keystrokes, during the assessment.
Jiawei Xiong   +8 more
wiley   +1 more source

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