Mark Andrews

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Bayesian Learning in Nonlinear State-Space Models

Mark Andrews, 2004 .

The representation of abstract words: why emotion matters.

G. Vigliocco, D. Vinson, Mark Andrews, 2011, Journal of experimental psychology. General.

The Role of Attributional and Distributional Information in Semantic Representation

Mark Andrews, Gabriella Vigilocco, David Vinson, 2005 .

Distributional Semantics beyond Concrete Concepts Wishing You a Fruitful, Interesting and Swinging Disco Workshop, 1 Integrating Experiential and Linguistic Information in Semantic Representation 7 Verb Sense Disambiguation Using a Predicate-argument Clustering Model Integrating Experiential and Lin

Marco Baroni, Suzanne Stevenson, Helmut Schmid, 2022 .

A Unified Account of Population-Based Stochastic Optimization Methods

Mark Andrews, 2006 .

Variational Methods for Stochastic Optimization

Mark Andrews, 2004 .

The Concreteness Effect : Dual Coding Theory and the Context Availability Model

G. Vigliocco, D. Vinson, Mark Andrews, 2011 .

Learning and Inference in Nonlinear State-Space Models

Mark Andrews, 2008 .

Integrating Attributional and Distributional Information in a Probabilistic Model of Meaning Representation

Mark Andrews, David Vinson, D. Vinson, 2005 .

Prior approval: the growth of Bayesian methods in psychology.

Thom Baguley, Mark Andrews, T. Baguley, 2013, The British journal of mathematical and statistical psychology.

Learning Semantic Representations with Hidden Markov Topics Models

Gabriella Vigliocco, Mark Andrews, G. Vigliocco, 2009 .

Chapter 5: Exploratory Data Analysis

Mark Andrews, 2003 .

Probabilistic Language Modeling with Hidden Stochastic Automata

Mark Andrews, Mark Andrews, 2013, CogSci.

Integrating experiential and distributional data to learn semantic representations.

Gabriella Vigliocco, Mark Andrews, David Vinson, 2009, Psychological review.

Deconstructing transitional probabilities: Bigram frequency and diversity in lexical decision

Gary Jones, Duncan Guest, Mark Andrews, 2017, CogSci.

Toward a theory of semantic representation

Stavroula Kousta, Gabriella Vigliocco, Mark Andrews, 2009, Language and Cognition.

Chunks of phonological knowledge play a significant role in children’s word learning and explain effects of neighborhood size, phonotactic probability, word frequency and word length

C. Rowland, Gary Jones, Mark Andrews, 2021 .

Doing Bayesian Data Analysis: A Tutorial Using R and BUGS by John K. Kruschk

Mark Andrews, Mark Andrews, 2011 .

Reconciling Embodied and Distributional Accounts of Meaning in Language

Gabriella Vigliocco, Mark Andrews, Stefan L. Frank, 2014, Top. Cogn. Sci..

A Bayesian Model of Memory for Text

Mark Andrews, Mark Andrews, 2017, CogSci.

The representation of abstract words: what matters? Reply to Paivio's (2013) comment on Kousta et al. (2011).

Stavroula Kousta, Gabriella Vigliocco, Mark Andrews, 2013, Journal of experimental psychology. General.

Happiness is… an abstract word: The role of affect in abstract knowledge representation

David P. Vinson, Gabriella Vigliocco, Mark Andrews, 2009 .

The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation

Gabriella Vigliocco, Mark Andrews, G. Vigliocco, 2010, Top. Cogn. Sci..

Giving Words Meaning

G. Vigliocco, D. Vinson, Mark Andrews, 2014 .

Perceptual Errors Support the Notion of Masking by Object Substitution

Michael Pilling, Duncan Guest, Mark Andrews, 2019, Perception.

Evaluating the Contribution of Intra-Linguistic and Extra-Linguistic Data to the Structure of Human Semantic Representations

David P. Vinson, Gabriella Vigliocco, Mark Andrews, 2007 .

The Processing & Recognition of Symbol Sequences

Mark W. Andrews, Mark Andrews, 2001 .

What is the replication crisis and why does it matter? A Bayesian perspective

T. Baguley, Mark Andrews, 2016 .