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Guillaume Kon Kam King
Guillaume Kon Kam King
Collegio Carlo Alberto - Universitŕ degli Studi di Torino
Verified email at unito.it - Homepage
Title
Cited by
Cited by
Year
On the Use of Human Mobility Proxies for Modeling Epidemics
M Tizzoni, P Bajardi, A Decuyper, G Kon Kam King, C Schneider, ...
PLoS Computational Biology 10 (7), 2014
3922014
Biological interactions mediate context and species-specific sensitivities to salinity
JP Bray, J Reich, SJ Nichols, G Kon Kam King, R Mac Nally, R Thompson, ...
Philosophical Transactions of the Royal Society B 374 (1764), 20180020, 2019
472019
MOSAIC_SSD: A new web tool for species sensitivity distribution to include censored data by maximum likelihood
G Kon Kam King, P Veber, S Charles, ML Delignette-Muller
Environmental Toxicology and Chemistry 33 (9), 2133-2139, 2014
392014
Constructing time-resolved species sensitivity distributions using a hierarchical toxico-dynamic model
G Kon Kam King, ML Delignette-Muller, BJ Kefford, C Piscart, S Charles
Environmental science & technology 49 (20), 12465-12473, 2015
202015
Hierarchical modelling of species sensitivity distribution: Development and application to the case of diatoms exposed to several herbicides
G Kon Kam King, F Larras, S Charles, ML Delignette-Muller
Ecotoxicology and Environmental Safety 114, 212-221, 2015
182015
Can SPEcies At Risk of pesticides (SPEAR) indices detect effects of target stressors among multiple interacting stressors?
JP Bray, A O'Reilly-Nugent, G Kon Kam King, S Kaserzon, SJ Nichols, ...
Science of The Total Environment 763, 142997, 2021
112021
Bayesian Functional Forecasting with Locally-Autoregressive Dependent Processes
G Kon Kam King, A Canale, M Ruggiero
Bayesian Analysis, 2018
112018
Morse: modelling tools for reproduction and survival data in ecotoxicology
V Baudrot, S Charles, ML Delignette-Muller, W Duchemin, ...
R package version 3 (1), 2018
102018
Morse: modelling tools for reproduction and survival data in ecotoxicology
ML Delignette-Muller, P Ruiz, S Charles, W Duchemin, C Lopes, ...
R Package Version 2 (0), 2016
92016
Exact inference for a class of hidden Markov models on general state spaces
G Kon Kam King, O Papaspiliopoulos, M Ruggiero
Electronic Journal of Statistics 15 (1), 2832-2875, 2021
72021
BNPdensity: Bayesian nonparametric mixture modelling in R
J Arbel, G Kon Kam King, A Lijoi, L Nieto‐Barajas, I Prünster
Australian & New Zealand Journal of Statistics 63 (3), 542-564, 2021
52021
Approximating the clusters' prior distribution in Bayesian nonparametric models
D Bystrova, J Arbel, G Kon Kam King, F Deslandes
AABI 2020-3rd Symposium on Advances in Approximate Bayesian Inference, 1-16, 2021
52021
Assessing the Relative Toxicity of Different Road Salts and Effect of Temperature on Salinity Toxicity: LCx Values versus No-Effect Concentration (NEC) Values
BJG Moulding, G Kon Kam King, M Shenton, JP Bray, SJ Nichols, ...
Archives of Environmental Contamination and Toxicology 82 (2), 281-293, 2022
4*2022
Understanding salt-tolerance and biota–stressor interactions in freshwater invertebrate communities
BJ Kefford, JP Bray, SJ Nichols, J Reich, R Mac Nally, A O’Reilly-Nugent, ...
Marine and Freshwater Research 73 (1), 140-146, 2021
42021
How COVID-19 affects voting for incumbents: Evidence from local elections in France
D Morisi, H Cloléry, G Kon Kam King, M Schaub
Plos one 19 (3), e0297432, 2024
32024
Bayesian mixture models (in) consistency for the number of clusters
L Alamichel, D Bystrova, J Arbel, G Kon Kam King
arXiv preprint arXiv:2210.14201, 2022
32022
On the use of human mobility proxy for the modeling of epidemics
M Tizzoni, P Bajardi, A Decuyper, G Kon Kam King, CM Schneider, ...
arXiv preprint arXiv:1309.7272, 2013
32013
A Bayesian Nonparametric Approach to Ecological Risk Assessment
G Kon Kam King, J Arbel, I Prünster
Bayesian Statistics in Action: BAYSM 2016, Florence, Italy, June 19-21, 151-159, 2017
22017
MOSAIC_SSD: a new web-tool for the Species Sensitivity Distribution, allowing to include censored data by maximum likelihood
G Kon Kam King, P Veber, S Charles, ML Delignette-Muller
arXiv preprint arXiv:1311.5772, 2013
22013
Approximate filtering via discrete dual processes
G Kon Kam King, A Pandolfi, M Piretto, M Ruggiero
arXiv preprint arXiv:2310.00599, 2023
1*2023
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Articles 1–20