1. A piecewise deterministic Monte Carlo method for diffusion bridges

   • Joris Bierkens
   • Sebastiano Grazzi
   • Moritz Schauer

   OriginalPaper Open access 20 April 2021 Article: 37

   

2. Estimation of time-varying autoregressive stochastic volatility models with stable innovations

   • Gernot Müller
   • Sebastian Uhl

   OriginalPaper 20 April 2021 Article: 36

   

3. A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD)

   • Georg Hahn
   • Sharon M. Lutz
   • Christoph Lange

   OriginalPaper 17 April 2021 Article: 35

   

4. Particle-based energetic variational inference

   • Yiwei Wang
   • Jiuhai Chen
   • Lulu Kang

   OriginalPaper 17 April 2021 Article: 34

   

5. Locally induced Gaussian processes for large-scale simulation experiments

   • D. Austin Cole
   • Ryan B. Christianson
   • Robert B. Gramacy

   OriginalPaper 17 April 2021 Article: 33

   

6. Regularized bi-directional co-clustering

   • Séverine Affeldt
   • Lazhar Labiod
   • Mohamed Nadif

   OriginalPaper 10 April 2021 Article: 32

   

7. A mixed model approach to measurement error in semiparametric regression

   • Mohammad W. Hattab
   • David Ruppert

   OriginalPaper 30 March 2021 Article: 31

   

8. A simple method for rejection sampling efficiency improvement on SIMT architectures

   • Gavin Ridley
   • Benoit Forget

   OriginalPaper 30 March 2021 Article: 30

   

9. Efficient stochastic optimisation by unadjusted Langevin Monte Carlo

   • Valentin De Bortoli
   • Alain Durmus
   • Ana F. Vidal

   OriginalPaper Open access 19 March 2021 Article: 29

   

10. Ensemble sampler for infinite-dimensional inverse problems

    • Jeremie Coullon
    • Robert J. Webber

    OriginalPaper 15 March 2021 Article: 28

    

11. Sequential Bayesian optimal experimental design for structural reliability analysis

    • Christian Agrell
    • Kristina Rognlien Dahl

    OriginalPaper Open access 09 March 2021 Article: 27

    

12. Accelerating the estimation of renewal Hawkes self-exciting point processes

    • Tom Stindl
    • Feng Chen

    OriginalPaper 04 March 2021 Article: 26

    

13. Gaussian process learning via Fisher scoring of Vecchia’s approximation

    • Joseph Guinness

    OriginalPaper 03 March 2021 Article: 25

    

14. Conditional particle filters with diffuse initial distributions

    • Santeri Karppinen
    • Matti Vihola

    OriginalPaper Open access 03 March 2021 Article: 24

    

15. Bayesian ODE solvers: the maximum a posteriori estimate

    • Filip Tronarp
    • Simo Särkkä
    • Philipp Hennig

    OriginalPaper Open access 03 March 2021 Article: 23

    

16. Deep mixtures of unigrams for uncovering topics in textual data

    • Cinzia Viroli
    • Laura Anderlucci

    OriginalPaper Open access 03 March 2021 Article: 22

    

17. Unbiased estimation of the gradient of the log-likelihood in inverse problems

    • Ajay Jasra
    • Kody J. H. Law
    • Deng Lu

    OriginalPaper Open access 03 March 2021 Article: 21

    

18. Bayesian additive regression trees with model trees

    • Estevão B. Prado
    • Rafael A. Moral
    • Andrew C. Parnell

    OriginalPaper 03 March 2021 Article: 20