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Introduction: Cognitive Issues in Natural Language Processing ...
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42 |
Exploratory and confirmatory analyses in sentence processing: A case study of number interference in German ...
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43 |
Dependency resolution difficulty increases with distance in Persian separable complex predicates : evidence for expectation and memory-based accounts
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44 |
Statistical methods for linguistic research: Foundational Ideas - Part I ...
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45 |
Statistical methods for linguistic research: Foundational Ideas - Part II ...
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46 |
Dependency Resolution Difficulty Increases with Distance in Persian Separable Complex Predicates
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48 |
A Computational Evaluation of Sentence Processing Deficits in Aphasia
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49 |
Prosodic Focus Marking in Silent Reading: Effects of Discourse Context and Rhythm
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50 |
Understanding underspecification: A comparison of two computational implementations
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51 |
Retrieval Interference in Syntactic Processing: The Case of Reflexive Binding in English
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57 |
Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists ...
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Abstract:
With the arrival of the R packages nlme and lme4, linear mixed models (LMMs) have come to be widely used in experimentally-driven areas like psychology, linguistics, and cognitive science. This tutorial provides a practical introduction to fitting LMMs in a Bayesian framework using the probabilistic programming language Stan. We choose Stan (rather than WinBUGS or JAGS) because it provides an elegant and scalable framework for fitting models in most of the standard applications of LMMs. We ease the reader into fitting increasingly complex LMMs, first using a two-condition repeated measures self-paced reading study, followed by a more complex $2\times 2$ repeated measures factorial design that can be generalized to much more complex designs. ... : Submitted to Psychological Methods (Special Issue on Bayesian Data Analysis); 30 pages; 6 figures ...
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Keyword:
FOS Computer and information sciences; Methodology stat.ME
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URL: https://arxiv.org/abs/1506.06201 https://dx.doi.org/10.48550/arxiv.1506.06201
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58 |
The cave of Shadows. Addressing the human factor with generalized additive mixed models ...
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59 |
Balancing Type I Error and Power in Linear Mixed Models ...
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60 |
Spektrum Patholinguistik = Schwerpunktthema: Besonders behandeln? : Sprachtherapie im Rahmen primärer Störungsbilder
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