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Titlebook: Joint Models of Neural and Behavioral Data; Brandon M. Turner,Birte U. Forstmann,Mark Steyvers Book 2019 Springer Nature Switzerland AG 20

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發(fā)表于 2025-3-25 06:19:33 | 只看該作者
ee and unlimited access.Reviews scientific evidence from stuCreating an inclusive environment where different software developers can feel welcome and leverage their talents is an ethical imperative no company can ignore. Indeed, software organizations have in the last decade been trying to make cha
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發(fā)表于 2025-3-25 07:34:19 | 只看該作者
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發(fā)表于 2025-3-25 12:48:37 | 只看該作者
A Tutorial on Joint Modeling,tions. In the first section, we describe the full generative model and explain how it can be used to produce hypothetical data by adjusting the model parameters. In the second section, we describe how to perform inference on data by estimating the model parameters. To facilitate the inference proced
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發(fā)表于 2025-3-25 18:36:26 | 只看該作者
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發(fā)表于 2025-3-25 21:45:45 | 只看該作者
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發(fā)表于 2025-3-26 03:45:08 | 只看該作者
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發(fā)表于 2025-3-26 04:59:21 | 只看該作者
https://doi.org/10.1007/978-3-030-03688-1Joint Modeling; Joint modeling framework; Hierarchical Bayesian Modeling; Simultaneous Modeling; Cogniti
28#
發(fā)表于 2025-3-26 10:29:42 | 只看該作者
Motivation, can guide the development of cognitive models, and then progress into discussing how linking functions can be specified and estimated in a variety ways. Each of these ways constitutes a different type of joint model, each with their own advantages and disadvantages. The organization of the book is then provided.
29#
發(fā)表于 2025-3-26 15:44:24 | 只看該作者
30#
發(fā)表于 2025-3-26 17:22:33 | 只看該作者
Brandon M. Turner,Birte U. Forstmann,Mark SteyversPresents a one-of-its-kind flexible Bayesian framework for combining neural and cognitive models.Provides an approach that reveals interactions between behavioral and neural parameters.Offers tools an
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