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Statistical Artificial Intelligence

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  1. Published

    Tractable diffusion and coalescent processes for weakly correlated loci

    A. Jenkins, P., Fearnhead, P. & S. Song, Y., 29/05/2015, In: Electronic Journal of Probability. 20, 25 p., 58.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Using the electromagnetic spectrum

    Accettulli-Huber, M., Allwright, D., Berman, D. S., Campillo-Funollet, E., Date, P. & Gonzo, R., 29/09/2021, Cambridge University Press.

    Research output: Other contribution

  3. Published

    The ALADDIN project: intelligent agents for disaster management

    Adams, N. M., Field, M., Gelenbe, E., Hand, D. J., Jennings, N. R., Leslie, D. S., Nicholson, D., Ramchurn, S. D., Roberts, S. J. & Rogers, A., 2008, International Workshop on Robotics for Risky Interventions and Surveillance of the Environment. International Advanced Robotics Programme, 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    Semiparametric detection of changepoints in location, scale, and copula

    Agarwal, G., Eckley, I. A. & Fearnhead, P., 31/10/2023, In: Statistical Analysis and Data Mining: The ASA Data Science Journal. 16, 5, p. 456-473 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Stochastic Gradient MCMC for Nonlinear State Space Models

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 29/01/2019, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Forthcoming

    Stochastic Gradient MCMC for Nonlinear State Space Models

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 8/06/2023, (Accepted/In press) In: Bayesian Analysis.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    An integrated framework for quantifying immune-tumour interactions in a 3D co-culture model

    Al-Hity, G., Yang, F., Campillo-Funollet, E., Greenstein, A. E., Hunt, H., Mampay, M., Intabli, H., Falcinelli, M., Madzvamuse, A., Venkataraman, C. & Flint, M. S., 24/06/2021, In: Communications Biology. 4, 1, 12 p., 781.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    LancasterAQ: A High Resolution Street Level Dataset of Ultrafine Particles

    Amos, M., Booker, D., Duncan, R., Gouldsbrough, L., Pinder, T., Young, P. & Carter, J., 3/10/2022, EarthArXiv.

    Research output: Working paper › Preprint

  9. Published

    Online non-parametric changepoint detection with application to monitoring operational performance of network devices

    Austin, E., Romano, G., Eckley, I. & Fearnhead, P., 31/01/2023, In: Computational Statistics and Data Analysis. 177, 13 p., 107551.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. Published

    A Good-Turing estimator for feature allocation models

    Ayed, F., Battiston, M., Camerlenghi, F. & Favaro, S., 1/10/2019, In: Electronic Journal of Statistics. 13, 2, p. 3775-3804 30 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  11. Published

    An Information Theoretic approach to Post Randomization Methods under Differential Privacy

    Ayed, F., Battiston, M. & Camerlenghi, F., 1/09/2020, In: Statistics and Computing. 30, p. 1347–1361 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  12. Published

    On consistent and rate optimal estimation of the missing mass

    Ayed, F., Battiston, M., Camerlenghi, F. & Favaro, S., 31/08/2021, In: Annales de l'institut Henri Poincare (B) Probability and Statistics. 57, 3, p. 1476-1494 19 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  13. Published

    Bayesian sequential experimental design for binary response data with application to electromyographic experiments

    Azadi, N. A., Fearnhead, P., Ridall, G. & Blok, J. H., 2014, In: Bayesian Analysis. 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  14. Published

    Sufficientness postulates for Gibbs-type priors and hierarchial generalizations

    Bacallado, S., Battiston, M., Favaro, S. & Trippa, L., 28/11/2017, In: Statistical Science. 32, 4, p. 487-500 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  15. Published

    Control variates for stochastic gradient MCMC

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 1/05/2019, In: Statistics and Computing. 29, 3, p. 599-615 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  16. Published

    sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C. J., 31/10/2019, In: Journal of Statistical Software. 91, 3, p. 1-27 27 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  17. Published

    Large-Scale Stochastic Sampling from the Probability Simplex

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 3/12/2018, p. 6722-6732 . 11 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  18. Published

    Large-scale Bayesian computation using Stochastic Gradient Markov Chain Monte Carlo

    Baker, J., 2019, Lancaster University. 221 p.

    Research output: Thesis › Doctoral Thesis

  19. Published

    Generalization bounds for learning weighted automata

    Balle, B. & Mohri, M., 15/03/2018, In: Theoretical Computer Science. 716, p. 89-106 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  20. Published

    Bayesian detection of abnormal segments in multiple time series

    Bardwell, L. & Fearnhead, P., 01/2017, In: Bayesian Analysis. 12, 1, p. 193-218 26 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  21. Published

    Efficient search methods for high dimensional time-series

    Bardwell, L., 2018, Lancaster University. 196 p.

    Research output: Thesis › Doctoral Thesis

  22. Published

    Most recent changepoint detection in Panel data

    Bardwell, L., Fearnhead, P. N., Eckley, I. A., Smith, S. & Spott, M., 2/01/2019, In: Technometrics. 61, 1, p. 88-98 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  23. Published

    Multi-armed bandit for species discovery: A Bayesian nonparametric approach

    Battiston, M., Favaro, S. & Teh, Y. W., 1/06/2018, In: Journal of the American Statistical Association. 113, 521, p. 455-466 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  24. Published

    A characterization of product-form exchangeable feature probability functions

    Battiston, M., Favaro, S., Roy, D. M. & Teh, Y. W., 1/06/2018, In: Annals of Applied Probability. 28, 3, p. 1423-1448 26 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  25. Published

    A Bayesian Nonparametric Approach to Differentially Private Data

    Battiston, M., Ayed, F. & Di Benedetto, G., 16/09/2020, Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Proceedings. Domingo-Ferrer, J. & Muralidhar, K. (eds.). Springer, p. 32-48 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12276 LNCS).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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