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Michael De Miranda

Biographic Data

ID2455047
NAMEMichael De Miranda
GIVEN NAMESMichael
FAMILY NAMEDe Miranda
SIGNATUREDE MIRANDA M
AFFILIATIONSTexas A&M University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS11
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2018
H-INDEX1
  • The Bayesian Revolution in Second Language Research

    Open Access•Reza Norouzian, Michael De Miranda et al.•ARTICLE•Language Learning•2018•Cited by: 11•References: 35

    Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the conceptual underpinning of Bayesian and frequentist methods. Second, using real as well as carefully simula…

  • The Bayesian Revolution in Second Language Research

    Open Access•Reza Norouzian, Michael De Miranda et al.•ARTICLE•Language Learning•2018•Cited by: 11•References: 35

    Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the conceptual underpinning of Bayesian and frequentist methods. Second, using real as well as carefully simula…

  • The Bayesian Revolution in Second Language Research

    Open Access•Reza Norouzian, Michael De Miranda et al.•ARTICLE•Language Learning•2018•Cited by: 11•References: 35

    Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the conceptual underpinning of Bayesian and frequentist methods. Second, using real as well as carefully simula…

Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian inference (1 work) · Bayesian Modeling and Causal Inference (1 work) · Bayesian probability (1 work) · Bayesian statistics (1 work) · Computer Science (1 work) · Data science (1 work) · Frequentist inference (1 work) · Frequentist probability (1 work)

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