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Vasishth, Shravan

  1. Parsimonious Mixed Models
    2015/06/16 by Douglas M. Bates, Reinhold Kliegl, Bates, Douglas +5 · 16 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
  2. How to capitalize on a priori contrasts in linear (mixed) models: A\n tutorial
    2018/07/27 by Daniel J. Schad, Shravan Vasishth, Schad, Daniel J. +5 · 9 citations
    Computer Science · Psychology · #Advanced Statistical Modeling Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Mental Health Research Topics #Methodology (stat.ME)
  3. Toward a principled Bayesian workflow in cognitive science
    2019/04/29 by Schad, Daniel J., Betancourt, Michael, Vasishth, Shravan · 7 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
  4. The cave of Shadows. Addressing the human factor with generalized additive mixed models
    2015/11/10 by Baayen, Harald, Vasishth, Shravan, Bates, Douglas +1 · 4 citations
    #Applications (stat.AP) #FOS: Computer and information sciences
  5. Workflow Techniques for the Robust Use of Bayes Factors
    2021/03/15 by Daniel J. Schad, Schad, Daniel J., Bruno Nicenboim +7 · 5 citations
    Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Methodology (stat.ME) #Scientific Computing and Data Management
  6. Models of retrieval in sentence comprehension: A computational\n evaluation using Bayesian hierarchical modeling
    2016/12/13 by Bruno Nicenboim, Shravan Vasishth, Nicenboim, Bruno +1 · 1 citation
    Computer Science · #Applications (stat.AP) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval and Search Behavior #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (stat.ML) #Topic Modeling