Jian-Qiao Zhu

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All published works
Action Title Year Authors
+ Computation-Limited Bayesian Updating: A Resource-Rational Analysis of Approximate Bayesian Inference 2024 Jian-Qiao Zhu
Thomas L. Griffiths
+ PDF Chat Capturing the Complexity of Human Strategic Decision-Making with Machine Learning 2024 Jian-Qiao Zhu
Joshua C. Peterson
Benjamin Enke
Thomas L. Griffiths
+ PDF Chat Eliciting the Priors of Large Language Models using Iterated In-Context Learning 2024 Jian-Qiao Zhu
Thomas L. Griffiths
+ PDF Chat Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice 2024 Jian-Qiao Zhu
Haijiang Yan
Thomas L. Griffiths
+ PDF Chat Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo 2024 Jian-Qiao Zhu
Haijiang Yan
Thomas L. Griffiths
+ PDF Chat Incoherent Probability Judgments in Large Language Models 2024 Jian-Qiao Zhu
Thomas L. Griffiths
+ PDF Chat A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean–variance signature. 2023 Joakim Sundh
Jian-Qiao Zhu
Nick Chater
Adam N. Sanborn
+ Computation-Limited Bayesian Updating 2023 Jian-Qiao Zhu
Adam N. Sanborn
Nick Chater
Thomas L. Griffiths
+ Bayes in the age of intelligent machines 2023 Thomas L. Griffiths
Jian-Qiao Zhu
Erin Grant
R. Thomas McCoy
+ Deep de Finetti: Recovering Topic Distributions from Large Language Models 2023 Liyi Zhang
R. Thomas McCoy
Theodore R. Sumers
Jian-Qiao Zhu
Thomas L. Griffiths
+ Noise in Cognition: Bug or Feature? 2022 Adam N. Sanborn
Jian-Qiao Zhu
Jake Spicer
Pablo León-Villagrá
Lucas Castillo
Johanna K. Falbén
Yun-Xiao Li
Aidan Tee
Nick Chater
+ PDF Chat Understanding the structure of cognitive noise 2022 Jian-Qiao Zhu
Pablo León-Villagrá
Nick Chater
Adam N. Sanborn
+ How do people predict a random walk? Lessons for models of human cognition 2022 Jake Spicer
Jian-Qiao Zhu
Nick Chater
Adam N. Sanborn
+ Sampling as the human approximation to probabilistic inference 2021 Adam N. Sanborn
Jian-Qiao Zhu
Jake Spicer
Joakim Sundh
Pablo León-Villagrá
Nick Chater
+ A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean-variance signature 2021 Joakim Sundh
Jian-Qiao Zhu
Nick Chater
Adam N. Sanborn
+ Understanding the Structure of Cognitive Noise 2021 Jian-Qiao Zhu
Pablo León-Villagrá
Nick Chater
Adam N. Sanborn
+ Cognitive Variability Matches Speculative Price Dynamics 2021 Jian-Qiao Zhu
Jake Spicer
Adam N. Sanborn
Nick Chater
+ The Autocorrelated Bayesian Sampler: A Rational Process for Probability Judgments, Estimates, Confidence Intervals, Choices, Confidence Judgments, and Response Times 2021 Jian-Qiao Zhu
Joakim Sundh
Jake Spicer
Nick Chater
Adam N. Sanborn
+ The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments. 2020 Jian-Qiao Zhu
Adam N. Sanborn
Nick Chater
+ PDF Chat The Bayesian Sampler: Generic Bayesian Inference Causes Incoherence in Human Probability Judgments 2018 Jian-Qiao Zhu
Adam N. Sanborn
Nick Chater
+ Scaling-Up In-Memory Datalog Processing: Observations and Techniques 2018 Zhiwei Fan
Jian-Qiao Zhu
Zuyu Zhang
Aws Albarghouthi
Paraschos Koutris
Jignesh M. Patel
+ ROSA: R Optimizations with Static Analysis. 2017 Rathijit Sen
Jian-Qiao Zhu
Jignesh M. Patel
Somesh Jha
+ Mental Sampling in Multimodal Representations 2017 Jian-Qiao Zhu
Adam N. Sanborn
Nick Chater
+ ROSA: R Optimizations with Static Analysis 2017 Rathijit Sen
Jian-Qiao Zhu
Jignesh M. Patel
Somesh Jha
+ PDF Chat SOAP3-dp: Fast, Accurate and Sensitive GPU-Based Short Read Aligner 2013 Ruibang Luo
Thomas K. F. Wong
Jian-Qiao Zhu
Chi-Man Liu
Xiaoqian Zhu
Edward Wu
Lap-Kei Lee
Haoxiang Lin
Wenjuan Zhu
David W. Cheung
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments. 2020 Jian-Qiao Zhu
Adam N. Sanborn
Nick Chater
9
+ PDF Chat Surprisingly rational: Probability theory plus noise explains biases in judgment. 2014 Fintan Costello
Paul Watts
6
+ Man as an intuitive statistician. 1967 Cameron R. Peterson
Lee Roy Beach
6
+ Mental Sampling in Multimodal Representations 2017 Jian-Qiao Zhu
Adam N. Sanborn
Nick Chater
5
+ PDF Chat Rational approximations to rational models: Alternative algorithms for category learning. 2010 Adam N. Sanborn
Thomas L. Griffiths
Daniel J. Navarro
5
+ Markov Chain Monte Carlo Maximum Likelihood 1991 Charles J. Geyer
4
+ Judgment under Uncertainty: Heuristics and Biases 1974 Amos Tversky
Daniel Kahneman
4
+ PDF Chat The rationality of illusory correlation. 2019 Fintan Costello
Paul Watts
4
+ The Discrimination of Visual Number 1949 Edward Kaufman
M. W. Lord
T. W. Reese
Jens Volkmann
4
+ PDF Chat Understanding the structure of cognitive noise 2022 Jian-Qiao Zhu
Pablo León-Villagrá
Nick Chater
Adam N. Sanborn
4
+ PDF Chat A distributional and dynamic theory of pricing and preference 2019 Peter D. Kvam
Jerome R. Busemeyer
3
+ PDF Chat Handbook of Markov Chain Monte Carlo 2011 Steve Brooks
Andrew Gelman
Galin L. Jones
Xiao‐Li Meng
3
+ Probability theory : the logic of science 2003 E. T. Jaynes
3
+ A Bayesian perspective on magnitude estimation 2015 Frederike H. Petzschner
Stefan Glasauer
Klaas Ε. Stephan
2
+ PDF Chat Variational inference for Dirichlet process mixtures 2006 David M. Blei
Michael I. Jordan
2
+ PDF Chat Fast and Accurate Learning When Making Discrete Numerical Estimates 2016 Adam N. Sanborn
Ulrik Beierholm
2
+ Variational Inference: A Review for Statisticians 2017 David M. Blei
Alp Kucukelbir
Jon McAuliffe
2
+ Monte Carlo sampling methods using Markov chains and their applications 1970 W. Keith Hastings
2
+ Bayesian inference for categorical data analysis 2005 Alan Agresti
David B. Hitchcock
2
+ Bayesian model selection for group studies — Revisited 2013 Lionel Rigoux
Klaas Ε. Stephan
Karl Friston
Jean Daunizeau
2
+ Cognitive Variability Matches Speculative Price Dynamics 2021 Jian-Qiao Zhu
Jake Spicer
Adam N. Sanborn
Nick Chater
2
+ Toward a Universal Law of Generalization for Psychological Science 1987 Roger N. Shepard
2
+ PDF Chat Bayesian t tests for accepting and rejecting the null hypothesis 2009 Jeffrey N. Rouder
Paul L. Speckman
Dongchu Sun
Richard D. Morey
Geoffrey Iverson
2
+ Human inference in changing environments with temporal structure. 2021 Arthur Prat-Carrabin
Robert C. Wilson
Jonathan D. Cohen
Rava Azeredo da Silveira
2
+ PDF Chat MCMC Using Hamiltonian Dynamics 2011 Radford M. Neal
2
+ Bayesian Computation Via Markov Chain Monte Carlo 2013 Radu V. Craiu
Jeffrey S. Rosenthal
2
+ Approximating Bayesian Inference through Model Simulation 2018 Brandon M. Turner
Trisha Van Zandt
2
+ Probability theory, not the very guide of life. 2009 Peter Juslin
Håkan Nilsson
Anders Winman
2
+ Formalizing Neurath’s ship: Approximate algorithms for online causal learning. 2017 Neil R Bramley
Peter Dayan
Thomas L. Griffiths
David A. Lagnado
2
+ PDF Chat AIC model selection using Akaike weights 2004 Eric‐Jan Wagenmakers
Simon Farrell
2
+ PDF Chat The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics 2016 Laurence Aitchison
Máté Lengyel
2
+ PDF Chat Sampling can be faster than optimization 2019 Yi-An Ma
Yuansi Chen
Chi Jin
Nicolas Flammarion
Michael I. Jordan
2
+ Categorization as Probability Density Estimation 1995 F. Gregory Ashby
Leola A. Alfonso-Reese
1
+ The interplay between nonsymbolic number and its continuous visual properties. 2011 Titia Gebuis
Bert Reynvoet
1
+ An examination of the accuracy of judgmental extrapolation of time series 1985 Michael Lawrence
R. H. Edmundson
Marcus O’Connor
1
+ PDF Chat Monte Carlo Statistical Methods 2000 Hoon Kim
Christian P. Robert
George Casella
1
+ PDF Chat The power prior: theory and applications 2015 Joseph G. Ibrahim
Ming‐Hui Chen
Yeongjin Gwon
Fang Chen
1
+ Sample proportions and subjective probability revisions 1970 Lee Roy Beach
James A. Wise
Scott Barclay
1
+ Large complex data: divide and recombine (D&R) with RHIPE 2012 Saptarshi Guha
Ryan Hafen
Jeremiah Rounds
Jin Xia
Jianfu Li
Bowei Xi
William S. Cleveland
1
+ Going Up-Going Down: How Good Are People at Forecasting Trends and Changes in Trends? 1997 Marcus O’Connor
William Remus
Ken Griggs
1
+ Children’s understanding of posterior probability 2007 Vittorio Girotto
Michel González
1
+ Enhancing R with Advanced Compilation Tools and Methods 2014 Duncan Temple Lang
1
+ Overestimation of subjective probabilities 1974 Karl Halvor Teigen
1
+ PDF Chat A Quantum Question Order Model Supported by Empirical Tests of an <i>A Priori</i> and Precise Prediction 2013 Zheng Wang
Jerome R. Busemeyer
1
+ None 1997 Rainer Storn
Kenneth V. Price
1
+ Multihypothesis sequential probability ratio tests .I. Asymptotic optimality 1999 V.P. Draglia
Alexander G. Tartakovsky
Venugopal V. Veeravalli
1
+ PDF Chat Inference from Iterative Simulation Using Multiple Sequences 1992 Andrew Gelman
Donald B. Rubin
1
+ Factors affecting judgmental forecasts and confidence intervals 1989 Michael Lawrence
Spyros Makridakis
1
+ PDF Chat Bubbles, Crashes and Intermittency in Agent Based Market Models 2002 Irene Giardina
Jean‐Philippe Bouchaud
1
+ Availability: A heuristic for judging frequency and probability 1973 Amos Tversky
Daniel Kahneman
1