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R. Harald Baayen

  1. Balancing Type I error and power in linear mixed models
    2017/02/10 by Hannes Matuschek, Reinhold Kliegl, Shravan Vasishth +4 · 1 voice · 44 citations
    Mathematics · #Advanced Statistical Methods and Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  2. Parsimonious Mixed Models
    2015/06/16 by Douglas M. Bates, Reinhold Kliegl, Bates, Douglas +5 · 15 citations
    Decision Sciences · Mathematics · #FOS: Computer and information sciences #Meta-analysis and systematic reviews #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials
  3. Estimating Lexical Priors for Low-Frequency Syncretic Forms
    1995/04/24 by R. Harald Baayen, Richard Sproat, Baayen, Harald +1 · 1 citation
    Engineering · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Masonry and Concrete Structural Analysis #Seismic and Structural Analysis of Tall Buildings #Structural Load-Bearing Analysis
  4. Morphological influences on the recognition of monosyllabic monomorphemic words
    2006/08/01 by R.H. Baayen, R. Harald Baayen, Laurie Beth Feldman +3 · 1 citation
    Computer Science · Neuroscience · Psychology · #Neurobiology of Language and Bilingualism #Reading and Literacy Development #Text Readability and Simplification
  5. Vector Space Morphology with Linear Discriminative Learning
    2021/07/08 by Yu‐Ying Chuang, Chuang, Yu-Ying, Mihi Kang +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  6. Word meaning co-determines vowel-inherent spectral change. A corpus-based investigation of conversational Mandarin
    2026/07/23 by Xiaoyun Jin, Mirjam Ernestus, R. Harald Baayen
    #cs.CL