Moriña, D.; Fernández-Fontelo, A.; Cabaña, A.; Puig, P.; Monfil, L.; Brotons, M.; Diaz, M. (2021) Quantifying the under-reporting of uncorrelated longitudal data: the genital warts example BMC Medical Research Methodology, volume 21, Article number: 6 https://doi.org/10.1186/s12874-020-01188-4
Fernández-Fontelo, A.; Moriña, D.; Cabaña, A.; Arratia, A.; Puig, P. (2020) Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case PLoS ONE, 15(12): e0242956 https://doi.org/10.1371/journal.pone.0242956
Baena-Mirabete, S.; Puig, P. (2020) Computing probabilities of integer-valued random variables by recurrence relations Statistics & Probability Letters, 161, 108719. https://doi.org/10.1016/j.spl.2020.108719
Baena-Mirabete, S.; Anna Espinal; Puig, P. (2020) Exploring the randomness of mentally generated head–tail sequences Statistical Modelling, 20:3, p. 225-248 https://doi.org/10.1177%2F1471082X18816410
Moriña, D.; Martí, J. I.; Puig, P.; Diaz, M. (2020) Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer BMC medical informatics and decision making, 20:211, p. 1-7
DOI: https://doi.org/10.1186/s12911-020-01232-9
Jiménez‐Gamero, M.D.; Puig, P. (2020) A nonparametric method of estimation of the population size in capture–recapture experiments Biometrical Journal, 62:4, p. 970-988
DOI: https://doi.org/10.1002/bimj.201900185
Puig, P. and Weiß, C. H. (2020) Some goodness-of-fit tests for the Poisson distribution with applications in Biodosimetry Computational Statistics & Data Analysis, 144,106878
DOI: https://doi.org/10.1016/j.csda.2019.106878
Fraile, L; Fernández, N; Pena, RN; Balasch, S; Castellà, G; Puig, P; Estany, J; Valls, J (2020) A probabilistic Poisson-based model to detect PRRSV recirculation using sow production records Preventive Veterinary Medicine, 177, 104948
DOI: https://doi.org/10.1016/j.prevetmed.2020.104948
Fernández-Fontelo, A.; Puig, P.; Caceres, G.; Romero, L.; Revie, C.; Sanchez, J.; Dorea, F.C.; Alba-Casals, A. (2020) Enhancing the monitoring of fallen stock at different hierarchical administrative levels: an illustration on dairy cattle from regions with distinct husbandry, demographical and climate traits BMC Veterinary Research, 16, 110, 1-13
DOI: https://doi.org/10.1186/s12917-020-02312-8
Alkhamis, MA; Fernández-Fontelo, A.; VanderWaal, K.; Abuhadida, S.; Puig, P.; Alba-Casals, A. (2019) Temporal dynamics of Middle East respiratory syndrome coronavirus in the Arabian Peninsula, 2012–2017 Epidemiology & Infection, 147, p. 1-10
DOI: https://doi.org/10.1017/S0950268818002728
Weiß, C. H.; Homburg, A.; Puig, P. (2019) Testing for zero inflation and overdispersion in INAR (1) models Statistical Papers, 60:3, p. 473-498
DOI: https://doi.org/10.1007/s00362-016-0851-y
Fernández‐Fontelo, A.; Cabaña, A.; Joe, H.; Puig, P.; Moriña, D. (2019) Untangling serially dependent underreported count data for gender‐based violence Statistics in medicine, 38:22, p. 4404-4422
DOI: https://doi.org/10.1002/sim.8306
Blasco‐Moreno, A., Pérez‐Casany, M.; Puig, P.; Morante, M.; Castells, E. (2019) What does a zero mean? Understanding false, random and structural zeros in ecology Methods in Ecology and Evolution, 10:7,p. 949-959
DOI: https://doi.org/10.1111/2041-210X.13185
Moriña, D.; Serra, I.; Puig, P.; Corral, A. (2019) Probability estimation of a Carrington-like geomagnetic storm Scientific reports, 9:1, p. 1-9
DOI: https://doi.org/10.1038/s41598-019-38918-8
Fernández-Fontelo, A.; Puig, P.; Ainsbury, E.A.; Higueras, M. (2018) An exact goodness-of-fit test based on the occupancy problems to study zero-inflation and zero-deflation in biological dosimetry data Radiation protection dosimetry, 179:4, p. 317-326
DOI: https://doi.org/10.1093/rpd/ncx285
Kokonendji, C. C; Puig, P. (2018) Fisher dispersion index for multivariate count distributions: A review and a new proposal Journal of Multivariate Analysis, 165, p. 80-193
DOI: https://doi.org/10.1016/j.jmva.2017.12.010
Puig, P.; Kokonendji, C. C (2018) Non‐parametric estimation of the number of zeros in truncated count distributions Scandinavian Journal of Statistics, 45:2, p. 347-365
DOI: https://doi.org/10.1111/sjos.12293
Arruda, A.G.; Vilalta, C.; Puig, P.; Perez, A.; Alba, A. (2018) Time-series analysis for porcine reproductive and respiratory syndrome in the United States PlosOne, 13:4, e0195282
DOI: https://doi.org/10.1371/journal.pone.0195282
Baena-Mirabete S. and Puig P. (2018) Parsimonious higher order Markov models for rating transitions Journal of the Royal Statistical Society A, 181:1, p. 107-131.
DOI: 10.1111/rssa.12267
Puig, P. and Kokonendji, C.C. (2017) Nonparametric estimation of the number of zeros in truncated count distributions Scandinavian Journal of Statistics,
DOI: 10.1111/sjos.12293.
Ainsbury EA, Higueras M, Puig P, Einbeck J, Samaga D, Barquinero JF, Barrios L, Brzozowska B, Fattibene P, Gregoire E, Jaworska A, Lloyd D, Oestreicher U, Romm H, Rothkamm K, Roy L, Sommer S, Terzoudi G, Thierens H, Trompier F, Vral A, Woda C. (2017) Uncertainty of fast biological radiation dose assessment for emergency response scenarios Int J Radiat Biol. , 93(1):127-135.
DOI: 10.1080/09553002.2016.1227106.
Fernández-Fontelo, S. Fontdecaba, A. Alba and P. Puig (2017) Integer-valued AR processes with Hermite innovations and time-varying parameters: An application to bovine fallen stock surveillance at a local scale Statistical Modelling, 17(3), p. 172-195.
DOI: 10.1177/1471082X16683113.
A. Deluca, P. Puig and A. Corral (2016) Testing universality in critical exponents: The case of rainfall PHYSICAL REVIEW E, 93, 042301.
DOI: 10.1103/PhysRevE.93.042301.
C. H. Weiß, A. Homburg and P. Puig (2016) Testing for zero inflation and overdispersion in INAR(1) models Statistical Papers, p. 1-26.
DOI: 10.1007/s00362-016-0851-y
A. Fernández-Fontelo, A. Cabaña, P. Puig and D. Moriña (2016) Under-reported data analysis with INAR-hidden Markov chains Statistics in Medicine, 35(26), p. 4875-4890.
DOI: 10.1002/sim.7026.
A. Alba, F. C. Dórea, L. Arinero, J. Sánchez, R. Cordón, P. Puig and C. W. Revie (2015) Exploring the Surveillance Potential of Mortality Data: Nine Years of Bovine Fallen Stock Data Collected in Catalonia (Spain) PLoS ONE, 10(4): e0122547.
DOI:10.1371/ journal.pone.0122547
Higueras M, Puig P, Ainsbury EA, Vinnikov VA, Rothkamm K. (2015) A new Bayesian model applied to cytogenetic partial body irradiation estimation. Radiation Protection Dosimetry, 168(3):330-6
DOI: 10.1093/rpd/ncv356.
Moriña D, Higueras M, Puig P, Ainsbury EA, Rothkamm K. (2015) radir package: An R implementation for cytogenetic biodosimetry dose estimation Journal of Radiological Protection, 35(3), 557-569.
Oliveira M, Ainsbury EA, Einbeck J, Higueras M, Rothkamm K, Puig P. (2015) Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study Biometrical Journal, 58(2):259-79
DOI: 10.1002/bimj.201400233.
Moriña D, Higueras M, Puig P, Oliveira M. Generalized Hermite distribution modelling with the R package hermite R Journal, 7(2), 263-274 (2015).
Moriña D., Puig P. and Valero J. (2015). A characterization of the innovations of first order autoregressive models Metrika, vol. 78, issue 2, p. 219-225.
DOI:10.1007/s00184-014-0497-5.
Higueras, M., Puig, P., Ainsbury, E. A. and Rothkamm, K. (2015). A new inverse regression model applied to radiation biodosimetry Proc. R. Soc. A, 471(2176), p. 1-18.
DOI: 10.1098/rspa.2014.0588.
M. Pujol, JF Barquinero, P Puig, R Puig, MR Caballín and L. Barrios (2014). A New Model of Biodosimetry to Integrate Low and High Doses PLoS ONE 9(12): e114137.
DOI:10.1371/journal.pone.0114137
