Joakim Sundh

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All published works

Action	Title	Year	Authors
+ 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
+	The Neglected Importance of Auxiliary Assumptions when Applying Probability Theory	2023	Joakim Sundh
+	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
+	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
+	Cognitive Strategies when Integrating Mutually Dependent Probabilities	2015	Joakim Sundh Peter Juslin

Common Coauthors

Coauthor	Papers Together
Nick Chater	4
Jian-Qiao Zhu	4
Adam N. Sanborn	4
Jake Spicer	2
Pablo León-Villagrá	1
Peter Juslin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Surprisingly rational: Probability theory plus noise explains biases in judgment.	2014	Fintan Costello Paul Watts	4
+	Man as an intuitive statistician.	1967	Cameron R. Peterson Lee Roy Beach	4
+	The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments.	2020	Jian-Qiao Zhu Adam N. Sanborn Nick Chater	3
+ PDF Chat	A distributional and dynamic theory of pricing and preference	2019	Peter D. Kvam Jerome R. Busemeyer	3
+ PDF Chat	The rationality of illusory correlation.	2019	Fintan Costello Paul Watts	2
+	Judgment under Uncertainty: Heuristics and Biases	1974	Amos Tversky Daniel Kahneman	2
+	Mental Sampling in Multimodal Representations	2017	Jian-Qiao Zhu Adam N. Sanborn Nick Chater	2
+	The Discrimination of Visual Number	1949	Edward Kaufman M. W. Lord T. W. Reese Jens Volkmann	2
+ PDF Chat	The End of Sleeping Beauty's Nightmare	2008	Berry Groisman	1
+	Toward a Universal Law of Generalization for Psychological Science	1987	Roger N. Shepard	1
+ PDF Chat	Conjugate Priors for Exponential Families	1979	Persi Diaconis Donald Ylvisaker	1
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	1
+	Multihypothesis sequential probability ratio tests .I. Asymptotic optimality	1999	V.P. Draglia Alexander G. Tartakovsky Venugopal V. Veeravalli	1
+	Multihypothesis sequential probability ratio tests. II. Accurate asymptotic expansions for the expected sample size	2000	Vladimir Dragalin Alexander G. Tartakovsky Venugopal V. Veeravalli	1
+ PDF Chat	Fast and Accurate Learning When Making Discrete Numerical Estimates	2016	Adam N. Sanborn Ulrik Beierholm	1
+	Formalizing Neurath’s ship: Approximate algorithms for online causal learning.	2017	Neil R Bramley Peter Dayan Thomas L. Griffiths David A. Lagnado	1
+	Interpretations of Probability	2014	Paolo Rocchi	1
+ PDF Chat	Building machines that learn and think like people	2016	Brenden M. Lake Tomer Ullman Joshua B. Tenenbaum Samuel J. Gershman	1
+ PDF Chat	Accelerating MCMC algorithms	2018	Christian P. Robert Vı́ctor Elvira Nick Tawn Changye Wu	1
+ PDF Chat	Sampling can be faster than optimization	2019	Yi-An Ma Yuansi Chen Chi Jin Nicolas Flammarion Michael I. Jordan	1
+	The Foundations of Statistics.	1955	I. J. Good Leonard J. Savage	1
+ PDF Chat	Bayesian confidence in optimal decisions	2020	Joshua Calder-Travis Lucie Charles Rafał Bogacz Nick Yeung	1
+	Learning abstract structure for drawing by efficient motor program induction	2020	Lucas Y Tian Kevin Ellis Marta Kryven Joshua B. Tenenbaum	1
+	Cognitive Variability Matches Speculative Price Dynamics	2021	Jian-Qiao Zhu Jake Spicer Adam N. Sanborn Nick Chater	1
+	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	1
+ PDF Chat	Empirical evidence for resource-rational anchoring and adjustment	2017	Falk Lieder Tom Griffiths Quentin J. M. Huys Noah D. Goodman	1
+ PDF Chat	Characterizing Belief Bias in Syllogistic Reasoning: A Hierarchical-Bayesian Meta-Analysis of ROC Data	2017	Dries Trippas David Kellen Henrik Singmann Gordon Pennycook Derek J. Koehler Jonathan A. Fugelsang Chad Dubé	1
+	The nature of metacognitive inefficiency in perceptual decision making	2020	Medha Shekhar Dobromir Rahnev	1
+ PDF Chat	Reconciling similarity across models of continuous selections	2019	Peter D. Kvam Brandon M. Turner	1
+ PDF Chat	The anchoring bias reflects rational use of cognitive resources	2017	Falk Lieder Tom Griffiths Quentin J. M. Huys Noah D. Goodman	1
+ PDF Chat	A geometric framework for modeling dynamic decisions among arbitrarily many alternatives	2018	Peter D. Kvam	1
+	Judgments of proportions.	1990	Carol Varey Barbara A. Mellers Michael H. Birnbaum	1
+ PDF Chat	Racing Against The Clock: Evidence-Based Vs. Time-Based Decisions	2020	Guy E. Hawkins Andrew Heathcote	1
+ PDF Chat	Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory	2019	Sean Tauber Daniel J. Navarro Andrew Perfors Mark Steyvers	1
+ PDF Chat	The Bayesian Sampler: Generic Bayesian Inference Causes Incoherence in Human Probability Judgments	2018	Jian-Qiao Zhu Adam N. Sanborn Nick Chater	1
+ PDF Chat	Understanding the structure of cognitive noise	2022	Jian-Qiao Zhu Pablo León-Villagrá Nick Chater Adam N. Sanborn	1
+	Markov Chain Monte Carlo Maximum Likelihood	1991	Charles J. Geyer	1
+ PDF Chat	Handbook of Markov Chain Monte Carlo	2011	Steve Brooks Andrew Gelman Galin L. Jones Xiao‐Li Meng	1
+ PDF Chat	The power prior: theory and applications	2015	Joseph G. Ibrahim Ming‐Hui Chen Yeongjin Gwon Fang Chen	1
+	Premature Sampling in Random Walks	1996	Jeffrey N. Rouder	1
+ PDF Chat	Statistical properties of the volatility of price fluctuations	1999	Yanhui Liu Parameswaran Gopikrishnan Cizeau Meyer Chung‐Kang Peng H. Eugene Stanley	1
+	Power prior distributions for generalized linear models	2000	Ming‐Hui Chen Joseph G. Ibrahim Qi-Man Shao	1
+ PDF Chat	Rational approximations to rational models: Alternative algorithms for category learning.	2010	Adam N. Sanborn Thomas L. Griffiths Daniel J. Navarro	1
+	Overestimation of subjective probabilities	1974	Karl Halvor Teigen	1
+	A Bayesian perspective on magnitude estimation	2015	Frederike H. Petzschner Stefan Glasauer Klaas Ε. Stephan	1