Zobrazeno 1 - 10
of 1 903
pro vyhledávání: '"model misspecification"'
Publikováno v:
Large-scale Assessments in Education, Vol 12, Iss 1, Pp 1-24 (2024)
Abstract Background Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source
Externí odkaz:
https://doaj.org/article/ad38aef7b3d04b1bad8f0a05c6f8ecaa
Publikováno v:
eLife, Vol 13 (2024)
Theoretical computational models are widely used to describe latent cognitive processes. However, these models do not equally explain data across participants, with some individuals showing a bigger predictive gap than others. In the current study, w
Externí odkaz:
https://doaj.org/article/f1bd34eecd0e4670ae57d98410dfe26a
Publikováno v:
IEEE Access, Vol 12, Pp 38562-38574 (2024)
Average causal effects are averages of (heterogeneous) individual treatment effects (ITEs) taken over the entire target population. The estimation of average causal effects has been studied in depth, but averages are insufficient for more individuali
Externí odkaz:
https://doaj.org/article/fe0ff184a5ea419f91060c83ce56ba97
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-19 (2023)
Abstract Background For certain conditions, treatments aim to lessen deterioration over time. A trial outcome could be change in a continuous measure, analysed using a random slopes model with a different slope in each treatment group. A sample size
Externí odkaz:
https://doaj.org/article/4fe16e135a4b4d24bdb06c7b2cf67e40
Publikováno v:
Journal of Economic and Administrative Sciences, 2021, Vol. 39, Issue 3, pp. 642-654.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEAS-04-2021-0073
Autor:
Alexander Robitzsch
Publikováno v:
Stats, Vol 6, Iss 2, Pp 689-705 (2023)
Structural equation models constrain mean vectors and covariance matrices and are frequently applied in the social sciences. Frequently, the structural equation model is misspecified to some extent. In many cases, researchers nevertheless intend to w
Externí odkaz:
https://doaj.org/article/666516d339184ce9a6251724bf1e9f59
Autor:
Schultheiss Christoph, Bühlmann Peter
Publikováno v:
Journal of Causal Inference, Vol 11, Iss 1, Pp 689-96 (2023)
We consider likelihood score-based methods for causal discovery in structural causal models. In particular, we focus on Gaussian scoring and analyze the effect of model misspecification in terms of non-Gaussian error distribution. We present a surpri
Externí odkaz:
https://doaj.org/article/efcd78425f114fb5b487e52415089751
Autor:
Timmermann, Allan, Zhu, Yinchu
Publikováno v:
Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling
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