1. Inference for cluster point processes with over- or under-dispersed cluster sizes

   • Claes Andersson
   • Tomáš Mrkvička

   OriginalPaper 14 July 2020 Pages: 1573 - 1590

   

2. Sampling hierarchies of discrete random structures

   • Antonio Lijoi
   • Igor Prünster
   • Tommaso Rigon

   OriginalPaper 17 July 2020 Pages: 1591 - 1607

   

3. Multi-scale process modelling and distributed computation for spatial data

   • Andrew Zammit-Mangion
   • Jonathan Rougier

   OriginalPaper 16 July 2020 Pages: 1609 - 1627

   

4. Imputation and low-rank estimation with Missing Not At Random data

   • Aude Sportisse
   • Claire Boyer
   • Julie Josse

   OriginalPaper 16 July 2020 Pages: 1629 - 1643

   

5. Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization

   • Ömer Deniz Akyildiz
   • Dan Crisan
   • Joaquín Míguez

   OriginalPaper Open access 29 July 2020 Pages: 1645 - 1663

   

6. Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks

   • Chiheb Ben Hammouda
   • Nadhir Ben Rached
   • Raúl Tempone

   OriginalPaper 20 August 2020 Pages: 1665 - 1689

   

7. BayesProject: Fast computation of a projection direction for multivariate changepoint detection

   • Georg Hahn
   • Paul Fearnhead
   • Idris A. Eckley

   OriginalPaper Open access 01 August 2020 Pages: 1691 - 1705

   

8. On some consistent tests of mutual independence among several random vectors of arbitrary dimensions

   • Angshuman Roy
   • Soham Sarkar
   • Alok Goswami

   OriginalPaper 28 August 2020 Pages: 1707 - 1723

   

9. Properties of the stochastic approximation EM algorithm with mini-batch sampling

   • Estelle Kuhn
   • Catherine Matias
   • Tabea Rebafka

   OriginalPaper 05 September 2020 Pages: 1725 - 1739

   

10. Subsampling sequential Monte Carlo for static Bayesian models

    • David Gunawan
    • Khue-Dung Dang
    • Minh-Ngoc Tran

    OriginalPaper 09 September 2020 Pages: 1741 - 1758

    

11. Semi-automated simultaneous predictor selection for regression-SARIMA models

    • Aaron P. Lowther
    • Paul Fearnhead
    • Kjeld Jensen

    OriginalPaper Open access 04 September 2020 Pages: 1759 - 1778

    

12. An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified

    • Daniel Ahfock
    • Geoffrey J. McLachlan

    OriginalPaper 05 September 2020 Pages: 1779 - 1790

    

13. Convergence rates of Gaussian ODE filters

    • Hans Kersting
    • T. J. Sullivan
    • Philipp Hennig

    OriginalPaper Open access 12 September 2020 Pages: 1791 - 1816