Jonghyun Yun

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All published works

Action	Title	Year	Authors
+ PDF Chat	A latent space accumulator model for response time: Applications to cognitive assessment data	2023	Ick Hoon Jin Jonghyun Yun Hyun Joo Kim Minjeong Jeon
+ PDF Chat	Analysis of Connection Times in Bipartite Network Data: Development of the Latent Space Accumulator Model with Applications to Assessment Data	2022	Jonghyun Yun Hyun‐Joo Kim Minjeong Jeon Ick Hoon Jin
+	A Latent Space Accumulator Model for Response Time: Applications to Cognitive Assessment Data	2022	Jonghyun Yun Hyunjoo Kim Minjeong Jeon Ick Hoon Jin
+ PDF Chat	Stochastic approximation Hamiltonian Monte Carlo	2020	Jonghyun Yun Minsuk Shin Ick Hoon Jin Faming Liang
+	Stochastic Approximation Hamiltonian Monte Carlo	2018	Jonghyun Yun Minsuk Shin Ick Hoon Jin Faming Liang
+	Multilevel Network Item Response Modeling for Discovering Differences Between Innovation and Regular School Systems in Korea	2018	Ick Hoon Jin Minjeong Jeon Michael Schweinberger Jonghyun Yun Lizhen Lin

Common Coauthors

Coauthor	Papers Together
Ick Hoon Jin	6
Minjeong Jeon	4
Faming Liang	2
Minsuk Shin	2
Michael Schweinberger	1
Hyunjoo Kim	1
Lizhen Lin	1
Hyun Joo Kim	1
Hyun‐Joo Kim	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	<i>Stan</i>: A Probabilistic Programming Language	2017	Bob Carpenter Andrew Gelman Matthew D. Hoffman Daniel C. Lee Ben Goodrich Michael Betancourt Marcus A. Brubaker Jiqiang Guo Peter Li Allen Riddell	3
+	Distributed and Adaptive Darting Monte Carlo through Regenerations	2013	Sungjin Ahn Yutian Chen Max Welling	2
+	Reversible Jump MCMC Simulated Annealing for Neural Networks	2013	Christophe Andrieu Nando de Freitas Arnaud Doucet	2
+	The geometric foundations of Hamiltonian Monte Carlo	2017	Michael Betancourt Simon Byrne Samuel Livingstone Mark Girolami	2
+ PDF Chat	A Repelling–Attracting Metropolis Algorithm for Multimodality	2017	Hyungsuk Tak Xiao‐Li Meng David A. van Dyk	2
+	Adaptive Markov Chain Monte Carlo through Regeneration	1998	Walter R. Gilks Gareth O. Roberts Sujit K. Sahu	2
+ PDF Chat	TI-Stan: Model Comparison Using Thermodynamic Integration and HMC	2019	R. Wesley Henderson Paul M. Goggans	2
+	Stability of Stochastic Approximation under Verifiable Conditions	2005	Christophe Andrieu Éric Moulines Pierre Priouret	2
+	On the convergence of Hamiltonian Monte Carlo	2017	Alain Durmus Éric Moulines Eero Saksman	2
+ PDF Chat	Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods	2011	Mark Girolami Ben Calderhead	2
+ PDF Chat	Using Data Augmentation to Facilitate Conduct of Phase I–II Clinical Trials With Delayed Outcomes	2014	Ick Hoon Jin Suyu Liu Peter F. Thall Ying Yuan	1
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	1
+	Hamiltonian Monte Carlo Without Detailed Balance	2014	Jascha Sohl‐Dickstein Mayur Mudigonda Michael R. DeWeese	1
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	1
+ PDF Chat	Wormhole Hamiltonian Monte Carlo	2014	Shiwei Lan Jeffrey Streets Babak Shahbaba	1
+	A Lognormal Model for Response Times on Test Items	2006	Wim J. van der Linden	1
+ PDF Chat	A Hierarchical Framework for Modeling Speed and Accuracy on Test Items	2007	Wim J. van der Linden	1
+ PDF Chat	Annealing stochastic approximation Monte Carlo algorithm for neural network training	2007	Faming Liang	1
+	Introduction to the Analysis of Survival Data in the Presence of Competing Risks	2016	Peter C. Austin Douglas S. Lee Jason P. Fine	1
+	On the Geometric Ergodicity of Hamiltonian Monte Carlo	2016	Samuel Livingstone Michael Betancourt Simon Byrne Mark Girolami	1
+	Response Time Modeling Based on the Proportional Hazards Model	2013	Jochen Ranger Tuulia M. Ortner	1
+	Spatial Point Processes	2011	Mark Huber	1
+	Penalized partial likelihood inference of proportional hazards latent trait models	2016	Hyeon‐Ah Kang	1
+	Optimization assisted MCMC	2017	Ricky Fok Aijun An Wei Wang	1
+ PDF Chat	MCMC Using Hamiltonian Dynamics	2011	Radford M. Neal	1
+	Hamiltonian Monte Carlo Without Detailed Balance	2014	Jascha Sohl‐Dickstein Mayur Mudigonda Michael R. DeWeese	1
+	The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo	2014	Matthew D. Homan Andrew Gelman	1
+	Example for a piecewise constant hazard data simulation in R	2010	Rainer Walke	1
+	Improving SAMC using smoothing methods: Theory and applications to Bayesian model selection problems	2009	Faming Liang	1
+ PDF Chat	Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map	2021	Minjeong Jeon Ick Hoon Jin Michael Schweinberger Samuel Baugh	1
+	A latent variable model for discrete multivariate psychometric waiting times	1999	Jeffrey A. Douglas Michael R. Kosorok Betty Chewning	1
+ PDF Chat	Semi‐parametric proportional hazards models with crossed random effects for psychometric response times	2013	Tom Loeys Catherine Legrand Antonio Schettino Gilles Pourtois	1
+	Stochastic Approximation in Monte Carlo Computation	2007	Faming Liang Chuanhai Liu Raymond J. Carroll	1
+ PDF Chat	Split Hamiltonian Monte Carlo	2013	Babak Shahbaba Shiwei Lan Wesley O. Johnson Radford M. Neal	1
+	Rasch's model for reading speed with manifest explanatory variables	1997	Margo G. H. Jansen	1
+	An accumulator model for responses and response times in tests based on the proportional hazards model	2013	Jochen Ranger Jörg‐Tobias Kuhn	1
+	A flexible latent trait model for response times in tests	2011	Jochen Ranger Jörg‐Tobias Kuhn	1
+	Generalized procrustes analysis	1975	J. C. Gower	1
+	A Proportional Hazards Model for the Subdistribution of a Competing Risk	1999	Jason P. Fine Malcolm H. Ray	1