Jeong E (Kate) Lee

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Christian RobertUniversité Paris Dauphine, PSL & University of WarwickVerified email at ceremade.dauphine.fr
Geoff NichollsAssociate Professor of Statistics, University of OxfordVerified email at stats.ox.ac.uk
Kerrie MengersenQueensland University of TechnologyVerified email at qut.edu.au
Jean-Michel MarinProfessor of Statistics, University of MontpellierVerified email at umontpellier.fr
John CroninProfessor Strength and Conditioning, Sports Performance Research Institute New Zealand (SPRINZ), AUT UniversityVerified email at aut.ac.nz
Scott SissonProfessor of Statistics & Data Science, University of New South WalesVerified email at unsw.edu.au
Yanan FanSenior Principal Research Scientist, Data61, CSIRO; Professor of Statistics (adjunct) University ofVerified email at csiro.au
Cristiano VillaAssociate Professor of Statistics, Duke Kunshan UniversityVerified email at newcastle.ac.uk
Renate MeyerProfessor of Statistics, University of AucklandVerified email at stat.auckland.ac.nz
Robin J. RyderCEREMADE, Université Paris DauphineVerified email at ceremade.dauphine.fr
Claudia KirchInstitute for Mathematical Stochastics, Otto-von-Guericke University MagdeburgVerified email at ovgu.de
Chris U. CarmonaAmazonVerified email at amazon.com
Chieh-Hsi WuLecturer in Statistics, University of SouthamptonVerified email at soton.ac.uk
Ross McVinishUniversity of QueenslandVerified email at uq.edu.au
Colin FoxUniversity of OtagoVerified email at otago.ac.nz
Alvin J. K. ChuaCalifornia Institute of TechnologyVerified email at caltech.edu
Hyuck Chung
Matthew C. EdwardsLecturer of Statistics, University of AucklandVerified email at auckland.ac.nz
Judith RousseauUniversity of oxfordVerified email at stats.ox.ac.uk

Jeong E (Kate) Lee

University of Auckland

Verified email at auckland.ac.nz


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Bayesian inference on finite mixtures of distributions K Lee, JM Marin, K Mengersen, C Robert Perspectives in mathematical sciences I: Probability and statistics, 165-202, 2009	60	2009
Influence of Resisted Sled-Pull Training on the Sprint Force-Velocity Profile of Male High-School Athletes 2 Cahill, Micheál J.1, 3 Oliver, Jon L.2, J Cronin, K Clark, MR Cross, ... Journal of Strength and Conditioning Research 34, 2020	29	2020
Bayesian threshold selection for extremal models using measures of surprise J Lee, Y Fan, SA Sisson Computational Statistics & Data Analysis 85, 84-99, 2015	29	2015
Importance sampling schemes for evidence approximation in mixture models JE Lee, CP Robert Bayesian Analysis (In press) 11 (2), 573-597, 2015	15	2015
Calibration procedures for approximate Bayesian credible sets JE Lee, G Nicholls, RJ Ryder Bayesian Analysis, 2019	14	2019
Valid belief updates for prequentially additive loss functions arising in Semi-Modular Inference GK Nicholls, JE Lee, CH Wu, CU Carmona arXiv preprint arXiv:2201.09706, 2022	10	2022
A Loss-Based Prior for Variable Selection in Linear Regression Methods C Villa, JE Lee Bayesian Analysis, 2019	10*	2019
Distortion estimates for approximate Bayesian inference H Xing, G Nicholls, J Lee The Conference on Uncertainty in Artificial Intelligence (UAI), 2020	8	2020
Population Monte Carlo algorithm in high dimensions JE Lee, R McVinish, K Mengersen Methodology and Computing in Applied Probability 13, 369-389, 2011	8	2011
Calibrated Approximate Bayesian Inference G Nicholls, H Xing ICML, http://proceedings.mlr.press/v97/xing19a, 2019	7*	2019
Resisted Sprint Training in Youth; The Effectiveness of Backward vs. Forward Sled Towing on Speed, Jumping, and Leg Compliance Measures in High-School Athletes A Uthoff, J Oliver, J Cronin, P Winwood, C Harrison, JE Lee The Journal of Strength & Conditioning Research, 2019	7	2019
Weakly informative reparameterisations for location-scale mixtures K Kamary, K Lee, C Robert Journal of Computational and Graphical Statistics (in press), 2018	7	2018
Solutions of the Multivariate Inverse Frobenius--Perron Problem C Fox, LJ Hsiao, J Eun Entropy 23 (7), 2021	4	2021
Ultimixt: Bayesian Analysis of a Non-Informative Parametrization for Gaussian Mixture Distributions K Kaniav, K Lee https://cran.r-project.org/web/packages/Ultimixt/, 2016	2	2016
Bayesian nonparametric spectral analysis of locally stationary processes Y Tang, C Kirch, JE Lee, R Meyer https://arxiv.org/abs/2303.11561, 2023	1	2023
Posterior consistency for the spectral density of non-Gaussian stationary time series Y Tang, C Kirch, JE Lee, R Meyer Scandinavian Journal of Statistics, https://doi.org/10.1111/sjos.12627, 2022	1	2022
Bayesian inference for partial orders from random linear extensions: power relations from 12th Century Royal Acta GK Nicholls, JE Lee, N Karn, D Johnson, R Huang, A Muir-Watt arXiv preprint arXiv:2212.05524, 2022	1	2022
Bayesian hybrid algorithms and models: implementation and associated issues JE Lee Queensland University of Technology, 2010	1	2010
The use of calibration techniques in gravitational wave astronomy R Mao, JE Lee, O Burke, AJK Chua, MC Edwards, R Meyer PHYSICAL REVIEW D, https://journals.aps.org/prd/abstract/10, 2024		2024
A nonparametrically corrected likelihood for Bayesian spectral analysis of multivariate time series Y Liu, C Kirch, JE Lee, R Meyer arXiv preprint arXiv:2306.04966, 2023		2023

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