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
1702014
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
242014
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
172015
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
142019
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
102015
Morse: modelling tools for reproduction and survival data in ecotoxicology
V Baudrot, S Charles, ML Delignette-Muller, W Duchemin, ...
R package version 3 (0), 2018
62018
On the use of human mobility proxy for the modeling of epidemics
M Tizzoni, P Bajardi, A Decuyper, GKK King, CM Schneider, V Blondel, ...
arXiv preprint arXiv:1309.7272, 2013
32013
Bayesian Functional Forecasting with Locally-Autoregressive Dependent Processes
G Kon Kam King, A Canale, M Ruggiero
Bayesian Analysis, 2018
2*2018
Revisiting Species Sensitivity Distribution: modelling species variability for the protection of communities
G Kon Kam King
Lyon 1, 2015
1*2015
Correction to “Effective Forces in Square Well and Square Shoulder Fluids”
D Fiocco, G Pastore, G Foffi
The Journal of Physical Chemistry B 117 (11), 3270-3270, 2013
12013
Exact inference for a class of non-linear hidden Markov models
GKK King, O Papaspiliopoulos, M Ruggiero
arXiv preprint arXiv:2006.03452, 2020
2020
Bayesian inference for hidden Markov models via duality and approximate filtering distributions
GKK King, O Papaspiliopoulos, M Ruggiero
2020
A Bayesian Nonparametric Approach to Ecological Risk Assessment
J Arbel, GKK King, I Prünster
2018
Bayesian inference for hidden Markov models using duality and approximate filtering distributions
G KON KAM KING, O Papaspiliopoulos, M RUGGIERO
49esima Riunione scientifica della Societŕ Italiana di Statistica, 1-8, 2018
2018
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
2017
Package ‘morse’
ML Delignette-Muller, P Ruiz, S Charles, W Duchemin, C Lopes, ...
2016
Bayesian nonparametric density estimation in ecotoxicology
G Kon Kam King, J ARBEL, I PRUENSTER
48e Journées de la Statistique de la SdSF, 2016
2016
Package ‘BNPdensity’
I Prunster, ME Barrios
2013
Les intrigues de l'opéra au XIXe sičcle, le Grand Opéra et Fidelio
G KON KAM KING, M LEISS
2011
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Articles 1–19