Optimizing Large-Scale Educational Assessment with a “Divide-and-Conquer” Strategy: Fast and Efficient Distributed Bayesian Inference in IRT Models
Author:
Funder
National Social Science Fund of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11336-024-09978-1.pdf
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4. Álvarez-Esteban, P. C., Del Barrio, E., Cuesta-Albertos, J. A., & Matrán, C. (2016). A fixed-point approach to barycenters in Wasserstein space. Journal of Mathematical Analysis and Applications, 441(2), 744–762.
5. Baker, F. B., & Kim, S. H. (2004). Item response theory: Parameter estimation techniques. New York: Dekker.
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