Google scholar profile
Some of my works were not published in open-access journals. If you would like to read them, please do not hesitate to contact me, and I will gladly provide you with a copy.
Hidden Markov Models / State-Space Models
Kon Kam King, G., Pandolfi, A., Piretto, M. & Ruggiero M. (2024). Approximate filtering via discrete dual processes. Stochastic Processes and their Applications, 168, DOI: 10.1016/j.spa.2023.104268
Kon Kam King, G., Papaspiliopoulos, O. & Ruggiero, M. (2021). Exact inference for a class of hidden Markov models on general state spaces. Electronic Journal of Statistics, 15(1), 2832–2875. https://doi.org/10.1214/21-EJS1841
Kon Kam King G., Papaspiliopoulos O. & Ruggiero M. (2018) Bayesian inference for hidden Markov models via duality and approximate filtering distributions. In: Abbruzzo A., Brentari E., Chiodi M., Piacentino D. (eds) Book of short Papers SIS 2018, Pearson, ISBN-9788891910233
Approximate Bayesian Computation
Bayesian Nonparametrics
Alamichel, L., Bystrova, D., Arbel, J., & Kon Kam King, G. (2024). Bayesian mixture models (in) consistency for the number of clusters. Scandinavian Journal of Statistics.
Lawless, C., Arbel, J., Alamichel, L. & Kon Kam King, G. (2023). Clustering inconsistency for Pitman--Yor mixture models with a prior on the precision but fixed discount parameter. In Fifth Symposium on Advances in Approximate Bayesian Inference.
Arbel, J., Kon Kam King, G., Lijoi, A., Nieto‐Barajas, L., & Prünster, I. (2021). BNPdensity: Bayesian nonparametric mixture modelling in R. Australian & New Zealand Journal of Statistics, 63(3), 542-564.
Bayesian Variable selection
Naveau, M., Kon Kam King, G., Rincent, R., Sansonnet, L. & Delattre, M. (2024). Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm, Statistics and Computing, accepted
Biostatistics for Ecotoxicology
Moulding, Benjamin JG, et al. "Assessing the Relative Toxicity of Different Road Salts and Effect of Temperature on Salinity Toxicity: LCx Values versus No-Effect Concentration (NEC) Values." Archives of Environmental Contamination and Toxicology (2022): 1-13 https://link.springer.com/article/10.1007%2Fs00244-021-00908-1.
Bray J.P., O'Reilly-Nugent, A., Kon Kam King, G., Kaserzon, S., Nichols, S. J., Mac Nally, R., Thompson, Ross M., Kefford, B. J., (2020) Can SPEcies At Risk of pesticides (SPEAR) indices detect effects of target stressors among multiple interacting stressors?, Science of The Total Environment, 142997, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2020.142997
Bray J.P., Reich J., Nichols S.J., Kon Kam King G., Mac Nally R., Thompson R., O'Reilly-Nugent A., Kefford B. (2018) Biological interactions mediate context and species-specific sensitivities to salinity, Philosophical Transactions of the Royal Society B: Biological Sciences 374: 20180020. http://dx.doi.org/10.1098/rstb.2018.0020
Kon Kam King G., Arbel J., Prünster I. (2017) A Bayesian Nonparametric Approach to Ecological Risk Assessment. In: Argiento R., Lanzarone E., Antoniano Villalobos I., Mattei A. (eds) Bayesian Statistics in Action. BAYSM 2016. Springer Proceedings in Mathematics & Statistics, vol 194. Springer, Cham
Kon Kam King, G., Delignette-Muller, M. L., Kefford, B. J., Piscart, C., & Charles, S. (2015). Constructing time-resolved Species Sensitivity Distributions using a hierarchical Toxico-Dynamic model. Environmental Science & Technology 49 (20), 12465-12473 DOI: 10.1021/acs.est.5b02142
Kon Kam King, G., Larras, F., Charles, S., & Delignette-Muller, M. L. (2015). Hierarchical modelling of species sensitivity distribution: development and application to the case of diatoms exposed to several herbicides. Ecotoxicology and environmental safety, 114, 212-221. DOI: 10.1016/j.ecoenv.2015.01.022
Kon Kam King, G., Veber, P., Charles, S., & Delignette‐Muller, M. L. (2014). MOSAIC_SSD: A new web tool for species sensitivity distribution to include censored data by maximum likelihood. Environmental Toxicology and Chemistry, 33(9), 2133-2139. DOI: 10.1002/etc.2644.
Computational Epidemiology
Tizzoni, M., Bajardi, P., Decuyper, A., Kon Kam King, G., Schneider, C., Blondel, V., Smoreda, Z., González, M., Colizza, V. (2014). On the use of human mobility proxies for modeling epidemics. PLoS Comput Biol 10(7): e1003716. DOI: 10.1371/journal.pcbi.1003716
Political Science
Ph.D. thesis
Free software packages
Ernesto Barrios, Antonio Lijoi, Luis E. Nieto-Barajas, Igor Prünster, Guillaume Kon Kam King, BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures.
This is an R package for Bayesian Nonparametric density estimation using flexible nonparametric processes. It is available on CRAN: https://CRAN.R-project.org/package=BNPdensity
Marie Laure Delignette-Muller, Philippe Ruiz, Sandrine Charles, Wandrille Duchemin, Christelle Lopes, Guillaume Kon Kam King, Philippe Veber, morse: MOdelling Tools for Reproduction and Survival Data in Ecotoxicology.
This R package is a suite of tools for the statistical analysis of bioassay data using Bayesian inference. It is available on CRAN: https://CRAN.R-project.org/package=morse
This Julia package implements part of the exact simulation scheme of Jenkins, P. A., Spano, D. (2017). It is available on GitHub: https://github.com/konkam/ExactWrightFisher.jl
A package to perform particle filtering (as well as likelihood estimation and smoothing) using the Feynman-Kac formalism, available on GitHub: https://github.com/konkam/FeynmanKacParticleFilters.jl
Talks:
21-09-2010: Séminaire Parisien de Statistique, Institut Henri Poincaré