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Jeong E (Kate) Lee
Jeong E (Kate) Lee
University of Auckland
Adresă de e-mail confirmată pe auckland.ac.nz - Pagina de pornire
Titlu
Citat de
Citat de
Anul
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
592009
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
462020
Bayesian threshold selection for extremal models using measures of surprise
J Lee, Y Fan, SA Sisson
Computational Statistics & Data Analysis 85, 84-99, 2015
332015
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
182019
Importance sampling schemes for evidence approximation in mixture models
JE Lee, CP Robert
Bayesian Analysis (In press) 11 (2), 573-597, 2015
182015
Calibration procedures for approximate Bayesian credible sets
JE Lee, G Nicholls, RJ Ryder
Bayesian Analysis, 2019
142019
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
112022
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
92020
Calibrated Approximate Bayesian Inference
G Nicholls, H Xing
ICML, http://proceedings.mlr.press/v97/xing19a, 2019
9*2019
Weakly informative reparameterisations for location-scale mixtures
K Kamary, K Lee, C Robert
Journal of Computational and Graphical Statistics (in press), 2018
82018
Population Monte Carlo algorithm in high dimensions
JE Lee, R McVinish, K Mengersen
Methodology and Computing in Applied Probability 13, 369-389, 2011
82011
Solutions of the Multivariate Inverse Frobenius--Perron Problem
C Fox, LJ Hsiao, J Eun
Entropy 23 (7), 2021
52021
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
42022
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
Annals of Applied Statistics, https://arxiv.org/abs/2212.05524, 2024
32024
Novel stacked hybrid autoencoder for imputing LISA data gaps
R Mao, JE Lee, MC Edwards
Physical Review D 111 (2), 024067, 2025
22025
Daily temperatures and child hospital admissions in Aotearoa New Zealand: case time series analysis
H Lai, JE Lee, LJ Harrington, A Ahuriri-Driscoll, C Newport, A Bolton, ...
International journal of environmental research and public health 21 (9), 1236, 2024
22024
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
2*2024
Bayesian Inference for Vertex-Series-Parallel Partial Orders
J Jiang, G Nicholls, J Lee
Uncertainty in Artificial Intelligence (UAI) 2023, https://openreview.net …, 2023
22023
Variational inference for correlated gravitational wave detector network noise
J Liu, A Vajpeyi, R Meyer, K Janssens, JE Lee, P Maturana-Russel, ...
arXiv preprint arXiv:2409.13224, 2024
12024
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