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Pere Puig

Catedràtic d'universitat, Universitat Autònoma de Barcelona

  • Moriña, D.; Millán, I.; Fernández-Fontelo, A.; Puig, P.; Toran, P.; Gómez-Maldonado, M.; Falguera, G. (2024)
    Exploring what lies beneath the tip of the gender-based violence iceberg
    medRxiv, 2024.02.26.24303373
    https://doi.org/10.1101/2024.02.26.24303373
  • Láinez-Moreno, D.; Lorenzo-Arribas, A.; Puig, P. (2024)
    What can AI learn from the history of statistics?
    Significance, Volume 21, Issue 5, November 2024, Pages 32–35
  • Młynarczyk, D.; Puig, P.; Barquinero, J.F.; Armero, C.; Gómez-Rubio, V. (2024)
    Comparative analysis of the yields of dicentrics and chromosomal translocations
    International Journal of Radiation Biology, 100(8), 1193–1201
    https://doi.org/10.1080/09553002.2024.2369077
  • Agis, D.; Tur, J.; Moriña, D.; Puig, P.; Fernández-Fontelo, A. (2024)
    good: An R package for modelling count data
    Methods in Ecology and Evolution, Volume 15, Issue 12, Pages 2192-2197
    https://doi.org/10.1111/2041-210X.14387
  • Puig, P.; Valero, J.; Fernández-Fontelo, A. (2024)
    Some mechanisms leading to underdispersion: Old and new proposals
    Scandinavian Journal of Statistics, Volume 51, Issue 1, Pages 245–267
    https://doi.org/10.1111/sjos.12677
  • Baena-Mirabete, S.; García-Viedma, R.; Fernández-Guinea, S.; Puig, P. (2023)
    A model to analyze age-related differences in human-generated head-tail sequences
    bioRxiv, 2023.08.07.552223
    https://doi.org/10.1101/2023.08.07.552223
  • del Castillo, J.; Puig, P. (2023)
    Distinguishing between a power law and a Pareto distribution
    Physical Review E, 107, 064113
    https://doi.org/10.1103/PhysRevE.107.064113
  • Weiß, C. H.; Puig, P.; Aleksandrov, B. (2023)
    Optimal Stein-type goodness-of-fit tests for count data
    Biometrical Journal, Volume 65, Issue 2, 2200073
    https://doi.org/10.1002/bimj.202200073
  • Hernández, A.;Endesfelder, D.; Einbeck, J.; Puig, P.; Benadjaoud, M. A.; Higueras, M.; Ainsbury, E.; Gruel, G.; Oestreicher, U.; Barrios, L.; Barquinero, J.F. (2023)
    Biodose Tools: an R shiny application for biological dosimetry
    International Journal of Radiation Biology, Volume 99, Issue 9
    https://doi.org/10.1080/09553002.2023.2176564
  • Moriña, D.; Fernández-Fontelo, A.; Cabaña, A.; Arratia, A.; Puig, P. (2023)
    Estimated Covid-19 burden in Spain: ARCH underreported non-stationary time series
    BMC Medical Research Methodology, 23, Article number: 75
    https://doi.org/10.1186/s12874-023-01894-9
  • Badiella, L.; del Castillo, J.; Puig, P. (2023)
    Ultra log-concavity of discrete order statistics
    Statistics & Probability Letters, Volume 201, 109900
    https://doi.org/10.1016/j.spl.2023.109900
  • López, J. S.; Pujol-Canadell, M.; Puig, P.; Armengol, G.; Barquinero, J.F. (2023)
    Evaluation of γ-H2AX foci distribution among different peripheral blood mononucleated cell subtypes
    International Journal of Radiation Biology, Volume 99, Issue 10, Pages 1550-1558
    https://doi.org/10.1080/09553002.2023.2187480
  • Puig, P. (2022)
    Letter on the paper “On the two-parameter Bell–Touchard discrete distribution”
    Communications in Statistics – Theory and Methods, 53(1), 446–447
    https://doi.org/10.1080/03610926.2022.2050398
  • Młynarczyk, D.; Puig, P.; Armero, C.; Gómez-Rubio, V. (2022)
    Bayesian methods for radiation biodosimetry
    XLVIII Conference Mathematical Statistics, page 55
    https://www.impan.pl/konferencje/bcc/2022/22-xlviiimathstat/bedlewo_abstract_book_2022_3.pdf#page=55
  • Młynarczyk, D.; Puig, P.; Armero, C.; Gómez-Rubio, V.; Barquinero, J.F.; Pujol-Canadell, M. (2022)
    Improving radiation dose estimation using the gamma-H2AX biomarker
    arXiv preprint arXiv, 2208.01976
    https://doi.org/10.48550/arXiv.2208.01976
  • López, J. S.; Pujol-Canadell, M.; Puig, P.; Ribas, M.; Carrasco, P.; Armengol, G.; Barquinero, J.F. (2022)
    Establishment and validation of surface model for biodosimetry based on γ-H2AX foci detection
    International Journal of Radiation Biology, Volume 98, 2022 – Issue 1
    https://doi.org/10.1080/09553002.2022.1998706
  • Badiella, L.; Puig, P.; Lago-Peñas, C.; Casals, M. (2022)
    Influence of Red and Yellow cards on team performance in elite soccer
    Annals of Operations Research, Volume 325,pages 149–165
    https://doi.org/10.1007/s10479-022-04733-0
  • Puig, P.; Moriña, D.; Navarro Giné, A. (2022)
    Presentisme o no presentisme, aquesta és la qüestió
    UAB divulga, Març 2022
    https://ddd.uab.cat/record/257851
  • Młynarczyk, D.; Puig, P.; Armero, C.; Gómez-Rubio, V.; Barquinero, J.F.; Pujol-Canadell, M. (2022)
    Radiation dose estimation with time-since-exposure uncertainty using the
    -H2AX biomarker

    Scientific Reports, Volume 12, Article number: 19877
    https://doi.org/10.1038/s41598-022-24331-1
  • Moriña, D.; Puig, P.; Navarro, A. (2021)
    Analysis of zero inflated dichotomous variables from a Bayesian perspective: application to occupational health
    BMC Medical Research Methodology, volume 21, Article number: 277
    https://doi.org/10.1186/s12874-021-01427-2
  • Tur, J.; Moriña, D.; Puig, P.; Cabaña, A.; Arratia, A.; Fernández-Fontelo, A. (2021)
    Good distribution modelling with the R package good
    arXiv, 2105.01557

    https://doi.org/10.48550/arXiv.2105.01557
  • Moriña, D.; Fernández-Fontelo, A.; Cabaña, A.; Arratia, A.; Puig, P. (2021)
    Bayesian Synthetic Likelihood Estimation for Underreported Non-Stationary Time Series: Covid-19 Incidence in Spain
    arXiv, 2104.07575v3
    https://doi.org/10.48550/arXiv.2104.07575
  • Moriña, D.; Fernández-Fontelo, A.; Cabaña, A.; Arratia, A.; Puig, P. (2021)
    Misreported longitudinal data in epidemiology: review of mixture-based advances and current challenges
    Spanish Journal of Statistics, vol. 3, núm. 1, p. 37-44
    http://doi.org/10.37830/SJS.2021.1.03
  • Moriña, D.; Fernández-Fontelo, A.; Cabaña, A.; Arratia, A.; Ávalos, G.; Puig, P. (2021)
    Cumulated burden of COVID-19 in Spain from a Bayesian perspective
    European Journal of Public Health, Volume 31, Issue 4, August 2021, Pages 917–920
    https://doi.org/10.1093/eurpub/ckab118
  • Moriña, D.; Fernández-Fontelo, A.; Cabaña, A.; Puig, P. (2021)
    New statistical model for misreported data with application to current public health challenges
    SCIENTIFIC REPORTS, 11(1), Article 23321
    https://doi.org/10.1038/s41598-021-02620-5
  • 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
  • Młynarczyk, D.; Armero, C.; Gómez-Rubio, V.; Puig, P. (2021)
    Bayesian Analysis of Population Health Data
    Mathematics, 9(5), 577
    https://doi.org/10.3390/math9050577
  • González, J.R.; López-Sánchez, M.; Cáceres, A.; Puig, P.; Esko, T.; Pérez-Jurado, L.A. (2020)
    MADloy: robust detection of mosaic loss of chromosome Y from genotype-array-intensity data
    BMC Bioinformatics, volume 21, Article number: 533
    https://doi.org/10.1186/s12859-020-03768-z
  • 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