Hu, J.S., Chen, Q.Y. and Yu, T.X. (2025) Emotion Regulation and Depression Symptoms among Chinese Adolescents: The Sequential Mediation Effect of Social Anxiety and Loneliness. Open Journal of Social ...

ABSTRACT Sampling is an essential step in estimating a parameter: thus, cost and time associated to this step should be minimized. Sequential sampling is characterized by using samples of variable ...

Researchers from MIT, Yale, McGill University and others found that adapting the Sequential Monte Carlo algorithm can make AI-generated code better.

Due to the polymorphic uncertainties in microgrids (MGs), prohibitive computational burden is produced in reliability assessment. In this work, a novel sequential sampling algorithm (NSSA) compatible ...

Researchers from the University of Cambridge, Zuse Institute Berlin, dida Datenschmiede GmbH, California Institute of Technology, and Karlsruhe Institute of Technology proposed a novel sampling method ...

No revaluation in simulated data (A) Histogram of the best-fitting revaluation update (δ) for data simulated by sampling choices from a logistic function fit to the pa best-fitting δ values for the ...

Etikan, I., Alkassim, R., & Abubakar, S. (2016). Comparison of Snowball Sampling and Sequential Sampling Technique. Biometrics & Biostatistics International Journal ...

How to Conduct a Simple Random Sample The simple random sampling process entails six steps, each performed in sequential order.

Neuroscience Value construction through sequential sampling explains serial dependencies in decision making Ariel Zylberberg Akram Bakkour Daphna Shohamy Michael N Shadlen ...